Graham Neubig
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
348
Venues
27
Active years
2009–2026
Best venue rank
A*
Where they publish
- A*ACL78 papers
- A*EMNLP72 papers
- AInterspeech36 papers
- A*ICLR26 papers
- A*ICML15 papers
- AEACL12 papers
- MulticonferenceICASSP9 papers
- BLREC8 papers
- BCOLING7 papers
- A*AAAI6 papers
- CASRU5 papers
- BIJCNLP4 papers
- A*CVPR3 papers
- ANAACL3 papers
- BCoNLL3 papers
- A*ICSE2 papers
- A*CHI1 paper
- BICPR1 paper
- A*ECCV1 paper
- BCogSci1 paper
- CEAMT1 paper
- NationalAMTA1 paper
- AMSR1 paper
- BKES1 paper
- BICMI1 paper
- AASSETS1 paper
- AIUI1 paper
Papers
Showing the 300 most recent indexed papers.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Massively Multilingual Joint Segmentation and Glossing. | Michael Ginn, Lindia Tjuatja, Enora Rice, Ali Marashian, Maria R. Valentini, Jasmine Xu, Graham Neubig, Alexis Palmer |
| 2026 | ACL | Scaling Evaluation-Time Compute with Reasoning Models as Evaluators. | Seungone Kim, Ian Wu, Jinu Lee, Xiang Yue, Seongyun Lee, Minkyeong Moon, Carolin Lawrence, Kiril Gashteovski, Julia Hockenmaier, Graham Neubig, Sean Welleck |
| 2026 | ACL | Gained in Translation: Privileged Pairwise Judges Enhance Multilingual Reasoning. | Lintang Sutawika, Gokul Swamy, Steven Wu, Graham Neubig |
| 2026 | CHI | Code with Me or for Me? How Increasing AI Automation Transforms Developer Workflows. | Valerie Chen, Ameet Talwalkar, Robert Brennan, Graham Neubig |
| 2026 | EACL | Coding Agents with Multimodal Browsing are Generalist Problem Solvers. | Aditya Bharat Soni, Boxuan Li, Xingyao Wang, Valerie Chen, Graham Neubig |
| 2026 | EACL | CAIRE: Cultural Attribution of Images with Retrieval. | Arnav Yayavaram, Siddharth Yayavaram, Simran Khanuja, Michael Saxon, Graham Neubig |
| 2026 | ICPR | FieldWorkArena: Agentic AI Benchmark for Real Field Work Tasks. | Jun Takahashi, Atsunori Moteki, Akiyoshi Uchida, Shoichi Masui, Fan Yang, Kanji Uchino, Yueqi Song, Yonatan Bisk, Graham Neubig, Ikuo Kusajima, Yasuto Watanabe, Hiroyuki Ishida, Koki Nakagawa, Shan Jiang |
| 2026 | LREC | Real-Time Generation of Game Video Commentary with Multimodal LLMs: Pause-Aware Decoding Approaches. | Anum Afzal, Yuki Saito, Hiroya Takamura, Katsuhito Sudoh, Shinnosuke Takamichi, Graham Neubig, Florian Matthes, Tatsuya Ishigaki |
| 2025 | ACL | Synthetic Data in the Era of Large Language Models. | Vijay Viswanathan, Xiang Yue, Alisa Liu, Yizhong Wang, Graham Neubig |
| 2025 | ACL | MAmmoTH-VL: Eliciting Multimodal Reasoning with Instruction Tuning at Scale. | Jiawei Guo, Tianyu Zheng, Yizhi Li, Yuelin Bai, Bo Li, Yubo Wang, King Zhu, Graham Neubig, Wenhu Chen, Xiang Yue |
| 2025 | ACL | Stereotype or Personalization? User Identity Biases Chatbot Recommendations. | Anjali Kantharuban, Jeremiah Milbauer, Maarten Sap, Emma Strubell, Graham Neubig |
| 2025 | ACL | Evaluating Language Models as Synthetic Data Generators. | Seungone Kim, Juyoung Suk, Xiang Yue, Vijay Viswanathan, Seongyun Lee, Yizhong Wang, Kiril Gashteovski, Carolin Lawrence, Sean Welleck, Graham Neubig |
| 2025 | ACL | Beyond Browsing: API-Based Web Agents. | Yueqi Song, Frank F. Xu, Shuyan Zhou, Graham Neubig |
| 2025 | ACL | BehaviorBox: Automated Discovery of Fine-Grained Performance Differences Between Language Models. | Lindia Tjuatja, Graham Neubig |
| 2025 | ACL | Efficient Many-Shot In-Context Learning with Dynamic Block-Sparse Attention. | Emily Xiao, Chin-Jou Li, Yilin Zhang, Graham Neubig, Amanda Bertsch |
| 2025 | ACL | MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark. | Xiang Yue, Tianyu Zheng, Yuansheng Ni, Yubo Wang, Kai Zhang, Shengbang Tong, Yuxuan Sun, Botao Yu, Ge Zhang, Huan Sun, Yu Su, Wenhu Chen, Graham Neubig |
| 2025 | CVPR | AutoPresent: Designing Structured Visuals from Scratch. | Jiaxin Ge, Zora Zhiruo Wang, Xuhui Zhou, Yi-Hao Peng, Sanjay Subramanian, Qinyue Tan, Maarten Sap, Alane Suhr, Daniel Fried, Graham Neubig, Trevor Darrell |
| 2025 | EMNLP | Not-Just-Scaling Laws: Towards a Better Understanding of the Downstream Impact of Language Model Design Decisions. | Emmy Liu, Amanda Bertsch, Lintang Sutawika, Lindia Tjuatja, Patrick Fernandes, Lara Marinov, Michael Chen, Shreya Singhal, Carolin Lawrence, Aditi Raghunathan, Kiril Gashteovski, Graham Neubig |
| 2025 | EMNLP | Grounding Multilingual Multimodal LLMs With Cultural Knowledge. | Jean de Dieu Nyandwi, Yueqi Song, Simran Khanuja, Graham Neubig |
| 2025 | EMNLP | AgentDiagnose: An Open Toolkit for Diagnosing LLM Agent Trajectories. | Tianyue Ou, Wanyao Guo, Apurva Gandhi, Graham Neubig, Xiang Yue |
| 2025 | ICLR | Harnessing Webpage UIs for Text-Rich Visual Understanding. | Junpeng Liu, Tianyue Ou, Yifan Song, Yuxiao Qu, Wai Lam, Chenyan Xiong, Wenhu Chen, Graham Neubig, Xiang Yue |
| 2025 | ICLR | Repetition Improves Language Model Embeddings. | Jacob Mitchell Springer, Suhas Kotha, Daniel Fried, Graham Neubig, Aditi Raghunathan |
| 2025 | ICLR | Better Instruction-Following Through Minimum Bayes Risk. | Ian Wu, Patrick Fernandes, Amanda Bertsch, Seungone Kim, Sina Khoshfetrat Pakazad, Graham Neubig |
| 2025 | ICLR | Pangea: A Fully Open Multilingual Multimodal LLM for 39 Languages. | Xiang Yue, Yueqi Song, Akari Asai, Seungone Kim, Jean de Dieu Nyandwi, Simran Khanuja, Anjali Kantharuban, Lintang Sutawika, Sathyanarayanan Ramamoorthy, Graham Neubig |
| 2025 | ICML | RAGGED: Towards Informed Design of Scalable and Stable RAG Systems. | Jennifer Hsia, Afreen Shaikh, Zora Zhiruo Wang, Graham Neubig |
| 2025 | ICML | Training Software Engineering Agents and Verifiers with SWE-Gym. | Jiayi Pan, Xingyao Wang, Graham Neubig, Navdeep Jaitly, Heng Ji, Alane Suhr, Yizhe Zhang |
| 2025 | ICML | Overtrained Language Models Are Harder to Fine-Tune. | Jacob Mitchell Springer, Sachin Goyal, Kaiyue Wen, Tanishq Kumar, Xiang Yue, Sadhika Malladi, Graham Neubig, Aditi Raghunathan |
| 2025 | ICML | Agent Workflow Memory. | Zora Zhiruo Wang, Jiayuan Mao, Daniel Fried, Graham Neubig |
| 2025 | ICML | Demystifying Long Chain-of-Thought Reasoning. | Shiming Yang, Yuxuan Tong, Xinyao Niu, Graham Neubig, Xiang Yue |
| 2025 | NAACL | In-Context Learning with Long-Context Models: An In-Depth Exploration. | Amanda Bertsch, Maor Ivgi, Emily Xiao, Uri Alon, Jonathan Berant, Matthew R. Gormley, Graham Neubig |
| 2024 | ACL | Better Synthetic Data by Retrieving and Transforming Existing Datasets. | Saumya Gandhi, Ritu Gala, Vijay Viswanathan, Tongshuang Wu, Graham Neubig |
| 2024 | ACL | Wav2Gloss: Generating Interlinear Glossed Text from Speech. | Taiqi He, Kwanghee Choi, Lindia Tjuatja, Nathaniel R. Robinson, Jiatong Shi, Shinji Watanabe, Graham Neubig, David R. Mortensen, Lori S. Levin |
| 2024 | ACL | Instruction-tuned Language Models are Better Knowledge Learners. | Zhengbao Jiang, Zhiqing Sun, Weijia Shi, Pedro Rodrguez, Chunting Zhou, Graham Neubig, Xi Victoria Lin, Wen-tau Yih, Srini Iyer |
| 2024 | ACL | VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web Tasks. | Jing Yu Koh, Robert Lo, Lawrence Jang, Vikram Duvvur, Ming Chong Lim, Po-Yu Huang, Graham Neubig, Shuyan Zhou, Russ Salakhutdinov, Daniel Fried |
| 2024 | ACL | SOTOPIA-π: Interactive Learning of Socially Intelligent Language Agents. | Ruiyi Wang, Haofei Yu, Wenxin Zhang, Zhengyang Qi, Maarten Sap, Yonatan Bisk, Graham Neubig, Hao Zhu |
| 2024 | CVPR | Evaluating and Improving Compositional Text-to-Visual Generation. | Baiqi Li, Zhiqiu Lin, Deepak Pathak, Jiayao Li, Yixin Fei, Kewen Wu, Xide Xia, Pengchuan Zhang, Graham Neubig, Deva Ramanan |
| 2024 | EACL | Solving NLP Problems through Human-System Collaboration: A Discussion-based Approach. | Masahiro Kaneko, Graham Neubig, Naoaki Okazaki |
| 2024 | ECCV | Evaluating Text-to-Visual Generation with Image-to-Text Generation. | Zhiqiu Lin, Deepak Pathak, Baiqi Li, Jiayao Li, Xide Xia, Graham Neubig, Pengchuan Zhang, Deva Ramanan |
| 2024 | EMNLP | VIMI: Grounding Video Generation through Multi-modal Instruction. | Yuwei Fang, Willi Menapace, Aliaksandr Siarohin, Tsai-Shien Chen, Kuan-Chieh Wang, Ivan Skorokhodov, Graham Neubig, Sergey Tulyakov |
| 2024 | EMNLP | GlossLM: A Massively Multilingual Corpus and Pretrained Model for Interlinear Glossed Text. | Michael Ginn, Lindia Tjuatja, Taiqi He, Enora Rice, Graham Neubig, Alexis Palmer, Lori S. Levin |
| 2024 | EMNLP | An image speaks a thousand words, but can everyone listen? On image transcreation for cultural relevance. | Simran Khanuja, Sathyanarayanan Ramamoorthy, Yueqi Song, Graham Neubig |
| 2024 | EMNLP | Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models. | Seungone Kim, Juyoung Suk, Shayne Longpre, Bill Yuchen Lin, Jamin Shin, Sean Welleck, Graham Neubig, Moontae Lee, Kyungjae Lee, Minjoon Seo |
| 2024 | EMNLP | Synthetic Multimodal Question Generation. | Ian Wu, Sravan Jayanthi, Vijay Viswanathan, Simon Rosenberg, Sina Pakazad, Tongshuang Wu, Graham Neubig |
| 2024 | ICLR | Learning Performance-Improving Code Edits. | Alexander Shypula, Aman Madaan, Yimeng Zeng, Uri Alon, Jacob R. Gardner, Yiming Yang, Milad Hashemi, Graham Neubig, Parthasarathy Ranganathan, Osbert Bastani, Amir Yazdanbakhsh |
| 2024 | ICLR | SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents. | Xuhui Zhou, Hao Zhu, Leena Mathur, Ruohong Zhang, Haofei Yu, Zhengyang Qi, Louis-Philippe Morency, Yonatan Bisk, Daniel Fried, Graham Neubig, Maarten Sap |
| 2024 | ICLR | WebArena: A Realistic Web Environment for Building Autonomous Agents. | Shuyan Zhou, Frank F. Xu, Hao Zhu, Xuhui Zhou, Robert Lo, Abishek Sridhar, Xianyi Cheng, Tianyue Ou, Yonatan Bisk, Daniel Fried, Uri Alon, Graham Neubig |
| 2024 | ICML | TroVE: Inducing Verifiable and Efficient Toolboxes for Solving Programmatic Tasks. | Zhiruo Wang, Graham Neubig, Daniel Fried |
| 2023 | ACL | DataFinder: Scientific Dataset Recommendation from Natural Language Descriptions. | Vijay Viswanathan, Luyu Gao, Tongshuang Wu, Pengfei Liu, Graham Neubig |
| 2023 | ACL | NusaCrowd: Open Source Initiative for Indonesian NLP Resources. | Samuel Cahyawijaya, Holy Lovenia, Alham Fikri Aji, Genta Indra Winata, Bryan Wilie, Fajri Koto, Rahmad Mahendra, Christian Wibisono, Ade Romadhony, Karissa Vincentio, Jennifer Santoso, David Moeljadi, Cahya Wirawan, Frederikus Hudi, Muhammad Satrio Wicaksono, Ivan Halim Parmonangan, Ika Alfina, Ilham Firdausi Putra, Samsul Rahmadani, Yulianti Oenang, Ali Akbar Septiandri, James Jaya, Kaustubh D. Dhole, Arie Ardiyanti Suryani, Rifki Afina Putri, Dan Su, Keith Stevens, Made Nindyatama Nityasya, Muhammad Farid Adilazuarda, Ryan Hadiwijaya, Ryandito Diandaru, Tiezheng Yu, Vito Ghifari, Wenliang Dai, Yan Xu, Dyah Damapuspita, Haryo Akbarianto Wibowo, Cuk Tho, Ichwanul Muslim Karo Karo, Tirana Fatyanosa, Ziwei Ji, Graham Neubig, Timothy Baldwin, Sebastian Ruder, Pascale Fung, Herry Sujaini, Sakriani Sakti, Ayu Purwarianti |
| 2023 | ACL | When Does Translation Require Context? A Data-driven, Multilingual Exploration. | Patrick Fernandes, Kayo Yin, Emmy Liu, Andr F. T. Martins, Graham Neubig |
| 2023 | ACL | Multi-Dimensional Evaluation of Text Summarization with In-Context Learning. | Sameer Jain, Vaishakh Keshava, Swarnashree Mysore Sathyendra, Patrick Fernandes, Pengfei Liu, Graham Neubig, Chunting Zhou |
| 2023 | ACL | Multi-lingual and Multi-cultural Figurative Language Understanding. | Anubha Kabra, Emmy Liu, Simran Khanuja, Alham Fikri Aji, Genta Indra Winata, Samuel Cahyawijaya, Aremu Anuoluwapo, Perez Ogayo, Graham Neubig |
| 2023 | ACL | Beyond Contrastive Learning: A Variational Generative Model for Multilingual Retrieval. | John Wieting, Jonathan H. Clark, William W. Cohen, Graham Neubig, Taylor Berg-Kirkpatrick |
| 2023 | CVPR | EXCALIBUR: Encouraging and Evaluating Embodied Exploration. | Hao Zhu, Raghav Kapoor, So Yeon Min, Winson Han, Jiatai Li, Kaiwen Geng, Graham Neubig, Yonatan Bisk, Aniruddha Kembhavi, Luca Weihs |
| 2023 | EACL | A Multi-dimensional Evaluation of Tokenizer-free Multilingual Pretrained Models. | Jimin Sun, Patrick Fernandes, Xinyi Wang, Graham Neubig |
| 2023 | EACL | MCoNaLa: A Benchmark for Code Generation from Multiple Natural Languages. | Zhiruo Wang, Grace Cuenca, Shuyan Zhou, Frank F. Xu, Graham Neubig |
| 2023 | EACL | CTC Alignments Improve Autoregressive Translation. | Brian Yan, Siddharth Dalmia, Yosuke Higuchi, Graham Neubig, Florian Metze, Alan W. Black, Shinji Watanabe |
| 2023 | EMNLP | Teacher Perception of Automatically Extracted Grammar Concepts for L2 Language Learning. | Aditi Chaudhary, Arun Sampath, Ashwin Sheshadri, Antonios Anastasopoulos, Graham Neubig |
| 2023 | EMNLP | Active Retrieval Augmented Generation. | Zhengbao Jiang, Frank F. Xu, Luyu Gao, Zhiqing Sun, Qian Liu, Jane Dwivedi-Yu, Yiming Yang, Jamie Callan, Graham Neubig |
| 2023 | EMNLP | Crossing the Threshold: Idiomatic Machine Translation through Retrieval Augmentation and Loss Weighting. | Emmy Liu, Aditi Chaudhary, Graham Neubig |
| 2023 | EMNLP | T5Score: Discriminative Fine-tuning of Generative Evaluation Metrics. | Yiwei Qin, Weizhe Yuan, Graham Neubig, Pengfei Liu |
| 2023 | EMNLP | GlobalBench: A Benchmark for Global Progress in Natural Language Processing. | Yueqi Song, Simran Khanuja, Pengfei Liu, Fahim Faisal, Alissa Ostapenko, Genta Indra Winata, Alham Fikri Aji, Samuel Cahyawijaya, Yulia Tsvetkov, Antonios Anastasopoulos, Graham Neubig |
| 2023 | EMNLP | Prompt2Model: Generating Deployable Models from Natural Language Instructions. | Vijay Viswanathan, Chenyang Zhao, Amanda Bertsch, Tongshuang Wu, Graham Neubig |
| 2023 | EMNLP | Execution-Based Evaluation for Open-Domain Code Generation. | Zhiruo Wang, Shuyan Zhou, Daniel Fried, Graham Neubig |
| 2023 | EMNLP | CodeBERTScore: Evaluating Code Generation with Pretrained Models of Code. | Shuyan Zhou, Uri Alon, Sumit Agarwal, Graham Neubig |
| 2023 | ICLR | AANG : Automating Auxiliary Learning. | Lucio M. Dery, Paul Michel, Mikhail Khodak, Graham Neubig, Ameet Talwalkar |
| 2023 | ICLR | Computational Language Acquisition with Theory of Mind. | Andy Liu, Hao Zhu, Emmy Liu, Yonatan Bisk, Graham Neubig |
| 2023 | ICLR | Mega: Moving Average Equipped Gated Attention. | Xuezhe Ma, Chunting Zhou, Xiang Kong, Junxian He, Liangke Gui, Graham Neubig, Jonathan May, Luke Zettlemoyer |
| 2023 | ICLR | DiffusER: Diffusion via Edit-based Reconstruction. | Machel Reid, Vincent Josua Hellendoorn, Graham Neubig |
| 2023 | ICLR | DocPrompting: Generating Code by Retrieving the Docs. | Shuyan Zhou, Uri Alon, Frank F. Xu, Zhengbao Jiang, Graham Neubig |
| 2023 | ICML | PAL: Program-aided Language Models. | Luyu Gao, Aman Madaan, Shuyan Zhou, Uri Alon, Pengfei Liu, Yiming Yang, Jamie Callan, Graham Neubig |
| 2023 | ICML | Cross-Modal Fine-Tuning: Align then Refine. | Junhong Shen, Liam Li, Lucio M. Dery, Corey Staten, Mikhail Khodak, Graham Neubig, Ameet Talwalkar |
| 2023 | ICML | Why do Nearest Neighbor Language Models Work? | Frank F. Xu, Uri Alon, Graham Neubig |
| 2022 | AAAI | Explain, Edit, and Understand: Rethinking User Study Design for Evaluating Model Explanations. | Siddhant Arora, Danish Pruthi, Norman M. Sadeh, William W. Cohen, Zachary C. Lipton, Graham Neubig |
| 2022 | ACL | DEEP: DEnoising Entity Pre-training for Neural Machine Translation. | Junjie Hu, Hiroaki Hayashi, Kyunghyun Cho, Graham Neubig |
| 2022 | ACL | Systematic Inequalities in Language Technology Performance across the World's Languages. | Damin E. Blasi, Antonios Anastasopoulos, Graham Neubig |
| 2022 | ACL | Breaking Down Multilingual Machine Translation. | Ting-Rui Chiang, Yi-Pei Chen, Yi-Ting Yeh, Graham Neubig |
| 2022 | ACL | AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource Languages. | Abteen Ebrahimi, Manuel Mager, Arturo Oncevay, Vishrav Chaudhary, Luis Chiruzzo, Angela Fan, John E. Ortega, Ricardo Ramos, Annette Rios, Ivn Vladimir Meza Ruz, Gustavo Gimnez Lugo, Elisabeth Mager, Graham Neubig, Alexis Palmer, Rolando Coto-Solano, Ngoc Thang Vu, Katharina Kann |
| 2022 | ACL | BRIO: Bringing Order to Abstractive Summarization. | Yixin Liu, Pengfei Liu, Dragomir R. Radev, Graham Neubig |
| 2022 | ACL | Expanding Pretrained Models to Thousands More Languages via Lexicon-based Adaptation. | Xinyi Wang, Sebastian Ruder, Graham Neubig |
| 2022 | ACL | DataLab: A Platform for Data Analysis and Intervention. | Yang Xiao, Jinlan Fu, Weizhe Yuan, Vijay Viswanathan, Zhoumianze Liu, Yixin Liu, Graham Neubig, Pengfei Liu |
| 2022 | ACL | On The Ingredients of an Effective Zero-shot Semantic Parser. | Pengcheng Yin, John Wieting, Avirup Sil, Graham Neubig |
| 2022 | ACL | Show Me More Details: Discovering Hierarchies of Procedures from Semi-structured Web Data. | Shuyan Zhou, Li Zhang, Yue Yang, Qing Lyu, Pengcheng Yin, Chris Callison-Burch, Graham Neubig |
| 2022 | CogSci | Language Learning from Communicative Goals and Linguistic Input. | Hao Zhu, Yonatan Bisk, Graham Neubig |
| 2022 | COLING | Understanding and Improving Zero-shot Multi-hop Reasoning in Generative Question Answering. | Zhengbao Jiang, Jun Araki, Haibo Ding, Graham Neubig |
| 2022 | EMNLP | MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity Recognition. | David Ifeoluwa Adelani, Graham Neubig, Sebastian Ruder, Shruti Rijhwani, Michael Beukman, Chester Palen-Michel, Constantine Lignos, Jesujoba O. Alabi, Shamsuddeen Hassan Muhammad, Peter Nabende, Cheikh M. Bamba Dione, Andiswa Bukula, Rooweither Mabuya, Bonaventure F. P. Dossou, Blessing K. Sibanda, Happy Buzaaba, Jonathan Mukiibi, Godson Kalipe, Derguene Mbaye, Amelia V. Taylor, Fatoumata Ouoba Kabore, Chris Chinenye Emezue, Aremu Anuoluwapo, Perez Ogayo, Catherine Gitau, Edwin Munkoh-Buabeng, Victoire Memdjokam Koagne, Allahsera Auguste Tapo, Tebogo Macucwa, Vukosi Marivate, Elvis Mboning, Tajuddeen Gwadabe, Tosin P. Adewumi, Orevaoghene Ahia, Joyce Nakatumba-Nabende, Neo L. Mokono, Ignatius Ezeani, Chiamaka Chukwuneke, Mofetoluwa Adeyemi, Gilles Hacheme, Idris Abdulmumin, Odunayo Ogundepo, Oreen Yousuf, Tatiana Moteu Ngoli, Dietrich Klakow |
| 2022 | EMNLP | He Said, She Said: Style Transfer for Shifting the Perspective of Dialogues. | Amanda Bertsch, Graham Neubig, Matthew R. Gormley |
| 2022 | EMNLP | Retrieval as Attention: End-to-end Learning of Retrieval and Reading within a Single Transformer. | Zhengbao Jiang, Luyu Gao, Zhiruo Wang, Jun Araki, Haibo Ding, Jamie Callan, Graham Neubig |
| 2022 | EMNLP | Are representations built from the ground up? An empirical examination of local composition in language models. | Emmy Liu, Graham Neubig |
| 2022 | EMNLP | Language Models of Code are Few-Shot Commonsense Learners. | Aman Madaan, Shuyan Zhou, Uri Alon, Yiming Yang, Graham Neubig |
| 2022 | EMNLP | Learning to Model Editing Processes. | Machel Reid, Graham Neubig |
| 2022 | EMNLP | English Contrastive Learning Can Learn Universal Cross-lingual Sentence Embeddings. | Yau-Shian Wang, Ashley Wu, Graham Neubig |
| 2022 | EMNLP | KGxBoard: Explainable and Interactive Leaderboard for Evaluation of Knowledge Graph Completion Models. | Haris Widjaja, Kiril Gashteovski, Wiem Ben Rim, Pengfei Liu, Christopher Malon, Daniel Ruffinelli, Carolin Lawrence, Graham Neubig |
| 2022 | EMNLP | Paraphrastic Representations at Scale. | John Wieting, Kevin Gimpel, Graham Neubig, Taylor Berg-Kirkpatrick |
| 2022 | EMNLP | Interpreting Language Models with Contrastive Explanations. | Kayo Yin, Graham Neubig |
| 2022 | EMNLP | Prompt Consistency for Zero-Shot Task Generalization. | Chunting Zhou, Junxian He, Xuezhe Ma, Taylor Berg-Kirkpatrick, Graham Neubig |
| 2022 | ICLR | Should We Be Pre-training? An Argument for End-task Aware Training as an Alternative. | Lucio M. Dery, Paul Michel, Ameet Talwalkar, Graham Neubig |
| 2022 | ICLR | Towards a Unified View of Parameter-Efficient Transfer Learning. | Junxian He, Chunting Zhou, Xuezhe Ma, Taylor Berg-Kirkpatrick, Graham Neubig |
| 2022 | ICLR | Distributionally Robust Models with Parametric Likelihood Ratios. | Paul Michel, Tatsunori Hashimoto, Graham Neubig |
| 2022 | ICLR | Capturing Structural Locality in Non-parametric Language Models. | Frank F. Xu, Junxian He, Graham Neubig, Vincent Josua Hellendoorn |
| 2022 | ICML | Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval. | Uri Alon, Frank F. Xu, Junxian He, Sudipta Sengupta, Dan Roth, Graham Neubig |
| 2022 | ICML | Symmetric Machine Theory of Mind. | Melanie Sclar, Graham Neubig, Yonatan Bisk |
| 2022 | Interspeech | Building African Voices. | Perez Ogayo, Graham Neubig, Alan W. Black |
| 2022 | ICSE | VarCLR: Variable Semantic Representation Pre-training via Contrastive Learning. | Qibin Chen, Jeremy Lacomis, Edward J. Schwartz, Graham Neubig, Bogdan Vasilescu, Claire Le Goues |
| 2021 | ACL | Measuring and Increasing Context Usage in Context-Aware Machine Translation. | Patrick Fernandes, Kayo Yin, Graham Neubig, Andr F. T. Martins |
| 2021 | ACL | ExplainaBoard: An Explainable Leaderboard for NLP. | Pengfei Liu, Jinlan Fu, Yang Xiao, Weizhe Yuan, Shuaichen Chang, Junqi Dai, Yixin Liu, Zihuiwen Ye, Graham Neubig |
| 2021 | ACL | CitationIE: Leveraging the Citation Graph for Scientific Information Extraction. | Vijay Viswanathan, Graham Neubig, Pengfei Liu |
| 2021 | ACL | Do Context-Aware Translation Models Pay the Right Attention? | Kayo Yin, Patrick Fernandes, Danish Pruthi, Aditi Chaudhary, Andr F. T. Martins, Graham Neubig |
| 2021 | ACL | Detecting Hallucinated Content in Conditional Neural Sequence Generation. | Chunting Zhou, Graham Neubig, Jiatao Gu, Mona T. Diab, Francisco Guzmn, Luke Zettlemoyer, Marjan Ghazvininejad |
| 2021 | CoNLL | Dependency Induction Through the Lens of Visual Perception. | Ruisi Su, Shruti Rijhwani, Hao Zhu, Junxian He, Xinyu Wang, Yonatan Bisk, Graham Neubig |
| 2021 | EACL | Word Alignment by Fine-tuning Embeddings on Parallel Corpora. | Zi-Yi Dou, Graham Neubig |
| 2021 | EACL | Towards More Fine-grained and Reliable NLP Performance Prediction. | Zihuiwen Ye, Pengfei Liu, Jinlan Fu, Graham Neubig |
| 2021 | EMNLP | When is Wall a Pared and when a Muro?: Extracting Rules Governing Lexical Selection. | Aditi Chaudhary, Kayo Yin, Antonios Anastasopoulos, Graham Neubig |
| 2021 | EMNLP | Efficient Nearest Neighbor Language Models. | Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick |
| 2021 | EMNLP | Evaluating the Morphosyntactic Well-formedness of Generated Texts. | Adithya Pratapa, Antonios Anastasopoulos, Shruti Rijhwani, Aditi Chaudhary, David R. Mortensen, Graham Neubig, Yulia Tsvetkov |
| 2021 | EMNLP | AfroMT: Pretraining Strategies and Reproducible Benchmarks for Translation of 8 African Languages. | Machel Reid, Junjie Hu, Graham Neubig, Yutaka Matsuo |
| 2021 | EMNLP | XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation. | Sebastian Ruder, Noah Constant, Jan A. Botha, Aditya Siddhant, Orhan Firat, Jinlan Fu, Pengfei Liu, Junjie Hu, Dan Garrette, Graham Neubig, Melvin Johnson |
| 2021 | EMNLP | Efficient Test Time Adapter Ensembling for Low-resource Language Varieties. | Xinyi Wang, Yulia Tsvetkov, Sebastian Ruder, Graham Neubig |
| 2021 | EMNLP | Distributionally Robust Multilingual Machine Translation. | Chunting Zhou, Daniel Levy, Xian Li, Marjan Ghazvininejad, Graham Neubig |
| 2021 | ICLR | Modeling the Second Player in Distributionally Robust Optimization. | Paul Michel, Tatsunori Hashimoto, Graham Neubig |
| 2021 | ICLR | Meta Back-Translation. | Hieu Pham, Xinyi Wang, Yiming Yang, Graham Neubig |
| 2021 | ICLR | Learning Structural Edits via Incremental Tree Transformations. | Ziyu Yao, Frank F. Xu, Pengcheng Yin, Huan Sun, Graham Neubig |
| 2021 | ICML | Examining and Combating Spurious Features under Distribution Shift. | Chunting Zhou, Xuezhe Ma, Paul Michel, Graham Neubig |
| 2021 | ICML | Few-shot Language Coordination by Modeling Theory of Mind. | Hao Zhu, Graham Neubig, Yonatan Bisk |
| 2021 | Interspeech | Phoneme Recognition Through Fine Tuning of Phonetic Representations: A Case Study on Luhya Language Varieties. | Kathleen Siminyu, Xinjian Li, Antonios Anastasopoulos, David R. Mortensen, Michael R. Marlo, Graham Neubig |
| 2021 | NAACL | GSum: A General Framework for Guided Neural Abstractive Summarization. | Zi-Yi Dou, Pengfei Liu, Hiroaki Hayashi, Zhengbao Jiang, Graham Neubig |
| 2020 | AAAI | Latent Relation Language Models. | Hiroaki Hayashi, Zecong Hu, Chenyan Xiong, Graham Neubig |
| 2020 | AAAI | What Makes A Good Story? Designing Composite Rewards for Visual Storytelling. | Junjie Hu, Yu Cheng, Zhe Gan, Jingjing Liu, Jianfeng Gao, Graham Neubig |
| 2020 | AAAI | Merging Weak and Active Supervision for Semantic Parsing. | Ansong Ni, Pengcheng Yin, Graham Neubig |
| 2020 | ACL | Should All Cross-Lingual Embeddings Speak English? | Antonios Anastasopoulos, Graham Neubig |
| 2020 | ACL | Generalizing Natural Language Analysis through Span-relation Representations. | Zhengbao Jiang, Wei Xu, Jun Araki, Graham Neubig |
| 2020 | ACL | Weight Poisoning Attacks on Pretrained Models. | Keita Kurita, Paul Michel, Graham Neubig |
| 2020 | ACL | Politeness Transfer: A Tag and Generate Approach. | Aman Madaan, Amrith Setlur, Tanmay Parekh, Barnabs Pczos, Graham Neubig, Yiming Yang, Ruslan Salakhutdinov, Alan W. Black, Shrimai Prabhumoye |
| 2020 | ACL | Learning to Deceive with Attention-Based Explanations. | Danish Pruthi, Mansi Gupta, Bhuwan Dhingra, Graham Neubig, Zachary C. Lipton |
| 2020 | ACL | Soft Gazetteers for Low-Resource Named Entity Recognition. | Shruti Rijhwani, Shuyan Zhou, Graham Neubig, Jaime G. Carbonell |
| 2020 | ACL | Balancing Training for Multilingual Neural Machine Translation. | Xinyi Wang, Yulia Tsvetkov, Graham Neubig |
| 2020 | ACL | Predicting Performance for Natural Language Processing Tasks. | Mengzhou Xia, Antonios Anastasopoulos, Ruochen Xu, Yiming Yang, Graham Neubig |
| 2020 | ACL | Incorporating External Knowledge through Pre-training for Natural Language to Code Generation. | Frank F. Xu, Zhengbao Jiang, Pengcheng Yin, Bogdan Vasilescu, Graham Neubig |
| 2020 | ACL | TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data. | Pengcheng Yin, Graham Neubig, Wen-tau Yih, Sebastian Riedel |
| 2020 | COLING | Endangered Languages meet Modern NLP. | Antonios Anastasopoulos, Christopher Cox, Graham Neubig, Hilaria Cruz |
| 2020 | COLING | Automatic Interlinear Glossing for Under-Resourced Languages Leveraging Translations. | Xingyuan Zhao, Satoru Ozaki, Antonios Anastasopoulos, Graham Neubig, Lori S. Levin |
| 2020 | EAMT | Project MAIA: Multilingual AI Agent Assistant. | Andr Filipe Torres Martins, Joo Graa, Paulo Dimas, Helena Moniz, Graham Neubig |
| 2020 | EMNLP | TICO-19: the Translation Initiative for COvid-19. | Antonios Anastasopoulos, Alessandro Cattelan, Zi-Yi Dou, Marcello Federico, Christian Federmann, Dmitriy Genzel, Francisco Guzmn, Junjie Hu, Macduff Hughes, Philipp Koehn, Rosie Lazar, William Lewis, Graham Neubig, Mengmeng Niu, Alp ktem, Eric Paquin, Grace Tang, Sylwia Tur |
| 2020 | EMNLP | Re-evaluating Evaluation in Text Summarization. | Manik Bhandari, Pranav Narayan Gour, Atabak Ashfaq, Pengfei Liu, Graham Neubig |
| 2020 | EMNLP | Automatic Extraction of Rules Governing Morphological Agreement. | Aditi Chaudhary, Antonios Anastasopoulos, Adithya Pratapa, David R. Mortensen, Zaid Sheikh, Yulia Tsvetkov, Graham Neubig |
| 2020 | EMNLP | Dynamic Data Selection and Weighting for Iterative Back-Translation. | Zi-Yi Dou, Antonios Anastasopoulos, Graham Neubig |
| 2020 | EMNLP | Interpretable Multi-dataset Evaluation for Named Entity Recognition. | Jinlan Fu, Pengfei Liu, Graham Neubig |
| 2020 | EMNLP | Improving Target-side Lexical Transfer in Multilingual Neural Machine Translation. | Luyu Gao, Xinyi Wang, Graham Neubig |
| 2020 | EMNLP | NeuSpell: A Neural Spelling Correction Toolkit. | Sai Muralidhar Jayanthi, Danish Pruthi, Graham Neubig |
| 2020 | EMNLP | X-FACTR: Multilingual Factual Knowledge Retrieval from Pretrained Language Models. | Zhengbao Jiang, Antonios Anastasopoulos, Jun Araki, Haibo Ding, Graham Neubig |
| 2020 | EMNLP | Weakly- and Semi-supervised Evidence Extraction. | Danish Pruthi, Bhuwan Dhingra, Graham Neubig, Zachary C. Lipton |
| 2020 | EMNLP | OCR Post Correction for Endangered Language Texts. | Shruti Rijhwani, Antonios Anastasopoulos, Graham Neubig |
| 2020 | EMNLP | A Bilingual Generative Transformer for Semantic Sentence Embedding. | John Wieting, Graham Neubig, Taylor Berg-Kirkpatrick |
| 2020 | ICASSP | Universal Phone Recognition with a Multilingual Allophone System. | Xinjian Li, Siddharth Dalmia, Juncheng Li, Matthew Lee, Patrick Littell, Jiali Yao, Antonios Anastasopoulos, David R. Mortensen, Graham Neubig, Alan W. Black, Florian Metze |
| 2020 | ICLR | Differentiable Reasoning over a Virtual Knowledge Base. | Bhuwan Dhingra, Manzil Zaheer, Vidhisha Balachandran, Graham Neubig, Ruslan Salakhutdinov, William W. Cohen |
| 2020 | ICLR | A Probabilistic Formulation of Unsupervised Text Style Transfer. | Junxian He, Xinyi Wang, Graham Neubig, Taylor Berg-Kirkpatrick |
| 2020 | ICLR | Cross-lingual Alignment vs Joint Training: A Comparative Study and A Simple Unified Framework. | Zirui Wang, Jiateng Xie, Ruochen Xu, Yiming Yang, Graham Neubig, Jaime G. Carbonell |
| 2020 | ICLR | Understanding Knowledge Distillation in Non-autoregressive Machine Translation. | Chunting Zhou, Jiatao Gu, Graham Neubig |
| 2020 | ICML | XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalisation. | Junjie Hu, Sebastian Ruder, Aditya Siddhant, Graham Neubig, Orhan Firat, Melvin Johnson |
| 2020 | ICML | Optimizing Data Usage via Differentiable Rewards. | Xinyi Wang, Hieu Pham, Paul Michel, Antonios Anastasopoulos, Jaime G. Carbonell, Graham Neubig |
| 2020 | LREC | AlloVera: A Multilingual Allophone Database. | David R. Mortensen, Xinjian Li, Patrick Littell, Alexis Michaud, Shruti Rijhwani, Antonios Anastasopoulos, Alan W. Black, Florian Metze, Graham Neubig |
| 2019 | AAAI | Zero-Shot Neural Transfer for Cross-Lingual Entity Linking. | Shruti Rijhwani, Jiateng Xie, Graham Neubig, Jaime G. Carbonell |
| 2019 | ACL | Cross-Lingual Syntactic Transfer through Unsupervised Adaptation of Invertible Projections. | Junxian He, Zhisong Zhang, Taylor Berg-Kirkpatrick, Graham Neubig |
| 2019 | ACL | Domain Adaptation of Neural Machine Translation by Lexicon Induction. | Junjie Hu, Mengzhou Xia, Graham Neubig, Jaime G. Carbonell |
| 2019 | ACL | Improving Open Information Extraction via Iterative Rank-Aware Learning. | Zhengbao Jiang, Pengcheng Yin, Graham Neubig |
| 2019 | ACL | Choosing Transfer Languages for Cross-Lingual Learning. | Yu-Hsiang Lin, Chian-Yu Chen, Jean Lee, Zirui Li, Yuyan Zhang, Mengzhou Xia, Shruti Rijhwani, Junxian He, Zhisong Zhang, Xuezhe Ma, Antonios Anastasopoulos, Patrick Littell, Graham Neubig |
| 2019 | ACL | Bilingual Lexicon Induction with Semi-supervision in Non-Isometric Embedding Spaces. | Barun Patra, Joel Ruben Antony Moniz, Sarthak Garg, Matthew R. Gormley, Graham Neubig |
| 2019 | ACL | Self-Attentional Models for Lattice Inputs. | Matthias Sperber, Graham Neubig, Ngoc-Quan Pham, Alex Waibel |
| 2019 | ACL | Target Conditioned Sampling: Optimizing Data Selection for Multilingual Neural Machine Translation. | Xinyi Wang, Graham Neubig |
| 2019 | ACL | Beyond BLEU: Training Neural Machine Translation with Semantic Similarity. | John Wieting, Taylor Berg-Kirkpatrick, Kevin Gimpel, Graham Neubig |
| 2019 | ACL | Simple and Effective Paraphrastic Similarity from Parallel Translations. | John Wieting, Kevin Gimpel, Graham Neubig, Taylor Berg-Kirkpatrick |
| 2019 | ACL | Generalized Data Augmentation for Low-Resource Translation. | Mengzhou Xia, Xiang Kong, Antonios Anastasopoulos, Graham Neubig |
| 2019 | ACL | Reranking for Neural Semantic Parsing. | Pengcheng Yin, Graham Neubig |
| 2019 | CoNLL | Comparing Top-Down and Bottom-Up Neural Generative Dependency Models. | Austin Matthews, Graham Neubig, Chris Dyer |
| 2019 | EMNLP | Pushing the Limits of Low-Resource Morphological Inflection. | Antonios Anastasopoulos, Graham Neubig |
| 2019 | EMNLP | A Little Annotation does a Lot of Good: A Study in Bootstrapping Low-resource Named Entity Recognizers. | Aditi Chaudhary, Jiateng Xie, Zaid Sheikh, Graham Neubig, Jaime G. Carbonell |
| 2019 | EMNLP | Unsupervised Domain Adaptation for Neural Machine Translation with Domain-Aware Feature Embeddings. | Zi-Yi Dou, Junjie Hu, Antonios Anastasopoulos, Graham Neubig |
| 2019 | EMNLP | Domain Differential Adaptation for Neural Machine Translation. | Zi-Yi Dou, Xinyi Wang, Junjie Hu, Graham Neubig |
| 2019 | EMNLP | Findings of the Third Workshop on Neural Generation and Translation. | Hiroaki Hayashi, Yusuke Oda, Alexandra Birch, Ioannis Konstas, Andrew M. Finch, Minh-Thang Luong, Graham Neubig, Katsuhito Sudoh |
| 2019 | EMNLP | A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text. | Bohan Li, Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick, Yiming Yang |
| 2019 | EMNLP | FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow. | Xuezhe Ma, Chunting Zhou, Xian Li, Graham Neubig, Eduard H. Hovy |
| 2019 | EMNLP | Handling Syntactic Divergence in Low-resource Machine Translation. | Chunting Zhou, Xuezhe Ma, Junjie Hu, Graham Neubig |
| 2019 | ICLR | Lagging Inference Networks and Posterior Collapse in Variational Autoencoders. | Junxian He, Daniel Spokoyny, Graham Neubig, Taylor Berg-Kirkpatrick |
| 2019 | ICLR | Multilingual Neural Machine Translation With Soft Decoupled Encoding. | Xinyi Wang, Hieu Pham, Philip Arthur, Graham Neubig |
| 2019 | ICLR | Learning to Represent Edits. | Pengcheng Yin, Graham Neubig, Miltiadis Allamanis, Marc Brockschmidt, Alexander L. Gaunt |
| 2019 | Interspeech | Mitigating Noisy Inputs for Question Answering. | Denis Peskov, Joe Barrow, Pedro Rodriguez, Graham Neubig, Jordan L. Boyd-Graber |
| 2018 | AAAI | A Continuous Relaxation of Beam Search for End-to-End Training of Neural Sequence Models. | Kartik Goyal, Graham Neubig, Chris Dyer, Taylor Berg-Kirkpatrick |
| 2018 | ACL | Stack-Pointer Networks for Dependency Parsing. | Xuezhe Ma, Zecong Hu, Jingzhou Liu, Nanyun Peng, Graham Neubig, Eduard H. Hovy |
| 2018 | ACL | Learning to Generate Move-by-Move Commentary for Chess Games from Large-Scale Social Forum Data. | Harsh Jhamtani, Varun Gangal, Eduard H. Hovy, Graham Neubig, Taylor Berg-Kirkpatrick |
| 2018 | ACL | Extreme Adaptation for Personalized Neural Machine Translation. | Paul Michel, Graham Neubig |
| 2018 | ACL | Neural Factor Graph Models for Cross-lingual Morphological Tagging. | Chaitanya Malaviya, Matthew R. Gormley, Graham Neubig |
| 2018 | ACL | StructVAE: Tree-structured Latent Variable Models for Semi-supervised Semantic Parsing. | Pengcheng Yin, Chunting Zhou, Junxian He, Graham Neubig |
| 2018 | ACL | Automatic Estimation of Simultaneous Interpreter Performance. | Craig Stewart, Nikolai Vogler, Junjie Hu, Jordan L. Boyd-Graber, Graham Neubig |
| 2018 | AMTA | XNMT: The eXtensible Neural Machine Translation Toolkit. | Graham Neubig, Matthias Sperber, Xinyi Wang, Matthieu Felix, Austin Matthews, Sarguna Padmanabhan, Ye Qi, Devendra Singh Sachan, Philip Arthur, Pierre Godard, John Hewitt, Rachid Riad, Liming Wang |
| 2018 | COLING | Stress Test Evaluation for Natural Language Inference. | Aakanksha Naik, Abhilasha Ravichander, Norman M. Sadeh, Carolyn P. Ros, Graham Neubig |
| 2018 | EMNLP | Adapting Word Embeddings to New Languages with Morphological and Phonological Subword Representations. | Aditi Chaudhary, Chunting Zhou, Lori S. Levin, Graham Neubig, David R. Mortensen, Jaime G. Carbonell |
| 2018 | EMNLP | Retrieval-Based Neural Code Generation. | Shirley Anugrah Hayati, Raphal Olivier, Pravalika Avvaru, Pengcheng Yin, Anthony Tomasic, Graham Neubig |
| 2018 | EMNLP | Unsupervised Learning of Syntactic Structure with Invertible Neural Projections. | Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick |
| 2018 | EMNLP | MTNT: A Testbed for Machine Translation of Noisy Text. | Paul Michel, Graham Neubig |
| 2018 | EMNLP | Rapid Adaptation of Neural Machine Translation to New Languages. | Graham Neubig, Junjie Hu |
| 2018 | EMNLP | Contextual Parameter Generation for Universal Neural Machine Translation. | Emmanouil Antonios Platanios, Mrinmaya Sachan, Graham Neubig, Tom M. Mitchell |
| 2018 | EMNLP | SwitchOut: an Efficient Data Augmentation Algorithm for Neural Machine Translation. | Xinyi Wang, Hieu Pham, Zihang Dai, Graham Neubig |
| 2018 | EMNLP | A Tree-based Decoder for Neural Machine Translation. | Xinyi Wang, Hieu Pham, Pengcheng Yin, Graham Neubig |
| 2018 | EMNLP | Neural Cross-lingual Named Entity Recognition with Minimal Resources. | Jiateng Xie, Zhilin Yang, Graham Neubig, Noah A. Smith, Jaime G. Carbonell |
| 2018 | EMNLP | TRANX: A Transition-based Neural Abstract Syntax Parser for Semantic Parsing and Code Generation. | Pengcheng Yin, Graham Neubig |
| 2018 | ICASSP | Linguistic Unit Discovery from Multi-Modal Inputs in Unwritten Languages: Summary of the "Speaking Rosetta" JSALT 2017 Workshop. | Odette Scharenborg, Laurent Besacier, Alan W. Black, Mark Hasegawa-Johnson, Florian Metze, Graham Neubig, Sebastian Stker, Pierre Godard, Markus Mller, Lucas Ondel, Shruti Palaskar, Philip Arthur, Francesco Ciannella, Mingxing Du, Elin Larsen, Danny Merkx, Rachid Riad, Liming Wang, Emmanuel Dupoux |
| 2018 | Interspeech | Self-Attentional Acoustic Models. | Matthias Sperber, Jan Niehues, Graham Neubig, Sebastian Stker, Alex Waibel |
| 2018 | ICSE | Learning to mine parallel natural language/source code corpora from stack overflow. | Pengcheng Yin, Bowen Deng, Edgar Chen, Bogdan Vasilescu, Graham Neubig |
| 2018 | LREC | Evaluation Phonemic Transcription of Low-Resource Tonal Languages for Language Documentation. | Oliver Adams, Trevor Cohn, Graham Neubig, Hilaria Cruz, Steven Bird, Alexis Michaud |
| 2018 | MSR | Learning to mine aligned code and natural language pairs from stack overflow. | Pengcheng Yin, Bowen Deng, Edgar Chen, Bogdan Vasilescu, Graham Neubig |
| 2017 | ACL | Learning Character-level Compositionality with Visual Features. | Frederick Liu, Han Lu, Chieh Lo, Graham Neubig |
| 2017 | ACL | Neural Machine Translation via Binary Code Prediction. | Yusuke Oda, Philip Arthur, Graham Neubig, Koichiro Yoshino, Satoshi Nakamura |
| 2017 | ACL | A Syntactic Neural Model for General-Purpose Code Generation. | Pengcheng Yin, Graham Neubig |
| 2017 | ACL | Multi-space Variational Encoder-Decoders for Semi-supervised Labeled Sequence Transduction. | Chunting Zhou, Graham Neubig |
| 2017 | CoNLL | Morphological Inflection Generation with Multi-space Variational Encoder-Decoders. | Chunting Zhou, Graham Neubig |
| 2017 | EACL | Cross-Lingual Word Embeddings for Low-Resource Language Modeling. | Oliver Adams, Adam J. Makarucha, Graham Neubig, Steven Bird, Trevor Cohn |
| 2017 | EACL | Learning to Translate in Real-time with Neural Machine Translation. | Jiatao Gu, Graham Neubig, Kyunghyun Cho, Victor O. K. Li |
| 2017 | EACL | What Do Recurrent Neural Network Grammars Learn About Syntax? | Adhiguna Kuncoro, Miguel Ballesteros, Lingpeng Kong, Chris Dyer, Graham Neubig, Noah A. Smith |
| 2017 | EMNLP | Charmanteau: Character Embedding Models For Portmanteau Creation. | Varun Gangal, Harsh Jhamtani, Graham Neubig, Eduard H. Hovy, Eric Nyberg |
| 2017 | EMNLP | Learning Language Representations for Typology Prediction. | Chaitanya Malaviya, Graham Neubig, Patrick Littell |
| 2017 | EMNLP | Neural Lattice-to-Sequence Models for Uncertain Inputs. | Matthias Sperber, Graham Neubig, Jan Niehues, Alex Waibel |
| 2017 | IJCNLP | Improving Neural Machine Translation through Phrase-based Forced Decoding. | Jingyi Zhang, Masao Utiyama, Eiichiro Sumita, Graham Neubig, Satoshi Nakamura |
| 2017 | Interspeech | Semi-Supervised Learning of a Pronunciation Dictionary from Disjoint Phonemic Transcripts and Text. | Takahiro Shinozaki, Shinji Watanabe, Daichi Mochihashi, Graham Neubig |
| 2017 | KES | Adaptive Spelling Error Correction Models for Learner English. | Ryo Nagata, Hiroya Takamura, Graham Neubig |
| 2016 | ACL | A Continuous Space Rule Selection Model for Syntax-based Statistical Machine Translation. | Jingyi Zhang, Masao Utiyama, Eiichiro Sumita, Graham Neubig, Satoshi Nakamura |
| 2016 | COLING | Lightly Supervised Quality Estimation. | Matthias Sperber, Graham Neubig, Jan Niehues, Sebastian Stker, Alex Waibel |
| 2016 | EMNLP | Learning a Lexicon and Translation Model from Phoneme Lattices. | Oliver Adams, Graham Neubig, Trevor Cohn, Steven Bird, Quoc Truong Do, Satoshi Nakamura |
| 2016 | EMNLP | Incorporating Discrete Translation Lexicons into Neural Machine Translation. | Philip Arthur, Graham Neubig, Satoshi Nakamura |
| 2016 | EMNLP | Controlling Output Length in Neural Encoder-Decoders. | Yuta Kikuchi, Graham Neubig, Ryohei Sasano, Hiroya Takamura, Manabu Okumura |
| 2016 | EMNLP | Generalizing and Hybridizing Count-based and Neural Language Models. | Graham Neubig, Chris Dyer |
| 2016 | ICMI | Personalized unknown word detection in non-native language reading using eye gaze. | Rui Hiraoka, Hiroki Tanaka, Sakriani Sakti, Graham Neubig, Satoshi Nakamura |
| 2016 | Interspeech | Learning a Translation Model from Word Lattices. | Oliver Adams, Graham Neubig, Trevor Cohn, Steven Bird |
| 2016 | Interspeech | Transferring Emphasis in Speech Translation Using Hard-Attentional Neural Network Models. | Quoc Truong Do, Sakriani Sakti, Graham Neubig, Satoshi Nakamura |
| 2016 | Interspeech | A Hybrid System for Continuous Word-Level Emphasis Modeling Based on HMM State Clustering and Adaptive Training. | Quoc Truong Do, Tomoki Toda, Graham Neubig, Sakriani Sakti, Satoshi Nakamura |
| 2016 | Interspeech | Unsupervised Joint Estimation of Grapheme-to-Phoneme Conversion Systems and Acoustic Model Adaptation for Non-Native Speech Recognition. | Satoshi Tsujioka, Sakriani Sakti, Koichiro Yoshino, Graham Neubig, Satoshi Nakamura |
| 2016 | Interspeech | Unsupervised Phoneme Segmentation of Previously Unseen Languages. | Marco Vetter, Markus Mller, Fatima Hamlaoui, Graham Neubig, Satoshi Nakamura, Sebastian Stker, Alex Waibel |
| 2016 | LREC | Optimizing Computer-Assisted Transcription Quality with Iterative User Interfaces. | Matthias Sperber, Graham Neubig, Satoshi Nakamura, Alex Waibel |
| 2016 | NAACL | Morphological Inflection Generation Using Character Sequence to Sequence Learning. | Manaal Faruqui, Yulia Tsvetkov, Graham Neubig, Chris Dyer |
| 2015 | ACL | Improving Pivot Translation by Remembering the Pivot. | Akiva Miura, Graham Neubig, Sakriani Sakti, Tomoki Toda, Satoshi Nakamura |
| 2015 | ACL | Syntax-based Simultaneous Translation through Prediction of Unseen Syntactic Constituents. | Yusuke Oda, Graham Neubig, Sakriani Sakti, Tomoki Toda, Satoshi Nakamura |
| 2015 | ASRU | The NAIST ASR system for the 2015 Multi-Genre Broadcast challenge: On combination of deep learning systems using a rank-score function. | Quoc Truong Do, Michael Heck, Sakriani Sakti, Graham Neubig, Tomoki Toda, Satoshi Nakamura |
| 2015 | ASRU | A study of social-affective communication: Automatic prediction of emotion triggers and responses in television talk shows. | Nurul Lubis, Sakriani Sakti, Graham Neubig, Koichiro Yoshino, Tomoki Toda, Satoshi Nakamura |
| 2015 | ASRU | Adaptive selection from multiple response candidates in example-based dialogue. | Masahiro Mizukami, Hideaki Kizuki, Toshio Nomura, Graham Neubig, Koichiro Yoshino, Sakriani Sakti, Tomoki Toda, Satoshi Nakamura |
| 2015 | ASRU | Incremental sentence compression using LSTM recurrent networks. | Sakriani Sakti, Faiz Ilham, Graham Neubig, Tomoki Toda, Ayu Purwarianti, Satoshi Nakamura |
| 2015 | ASSETS | An Enhanced Electrolarynx with Automatic Fundamental Frequency Control based on Statistical Prediction. | Kou Tanaka, Tomoki Toda, Graham Neubig, Sakriani Sakti, Satoshi Nakamura |
| 2015 | EMNLP | A Binarized Neural Network Joint Model for Machine Translation. | Jingyi Zhang, Masao Utiyama, Eiichiro Sumita, Graham Neubig, Satoshi Nakamura |
| 2015 | ICASSP | EEG signal enhancement using multi-channel wiener filter with a spatial correlation prior. | Hayato Maki, Tomoki Toda, Sakriani Sakti, Graham Neubig, Satoshi Nakamura |
| 2015 | ICASSP | Combination of two-dimensional cochleogram and spectrogram features for deep learning-based ASR. | Andros Tjandra, Sakriani Sakti, Graham Neubig, Tomoki Toda, Mirna Adriani, Satoshi Nakamura |
| 2015 | Interspeech | Preserving word-level emphasis in speech-to-speech translation using linear regression HSMMs. | Quoc Truong Do, Shinnosuke Takamichi, Sakriani Sakti, Graham Neubig, Tomoki Toda, Satoshi Nakamura |
| 2015 | Interspeech | Statistical singing voice conversion based on direct waveform modification with global variance. | Kazuhiro Kobayashi, Tomoki Toda, Graham Neubig, Sakriani Sakti, Satoshi Nakamura |
| 2015 | Interspeech | Speed or accuracy? a study in evaluation of simultaneous speech translation. | Takashi Mieno, Graham Neubig, Sakriani Sakti, Tomoki Toda, Satoshi Nakamura |
| 2015 | Interspeech | A latent variable model for joint pause prediction and dependency parsing. | The Tung Nguyen, Graham Neubig, Hiroyuki Shindo, Sakriani Sakti, Tomoki Toda, Satoshi Nakamura |
| 2015 | Interspeech | Non-native speech synthesis preserving speaker individuality based on partial correction of prosodic and phonetic characteristics. | Yuji Oshima, Shinnosuke Takamichi, Tomoki Toda, Graham Neubig, Sakriani Sakti, Satoshi Nakamura |
| 2015 | Interspeech | Non-audible murmur enhancement based on statistical conversion using air- and body-conductive microphones in noisy environments. | Yusuke Tajiri, Kou Tanaka, Tomoki Toda, Graham Neubig, Sakriani Sakti, Satoshi Nakamura |
| 2015 | Interspeech | Articulatory controllable speech modification based on Gaussian mixture models with direct waveform modification using spectrum differential. | Patrick Lumban Tobing, Kazuhiro Kobayashi, Tomoki Toda, Graham Neubig, Sakriani Sakti, Satoshi Nakamura |
| 2015 | IUI | Automated Social Skills Trainer. | Hiroki Tanaka, Sakriani Sakti, Graham Neubig, Tomoki Toda, Hideki Negoro, Hidemi Iwasaka, Satoshi Nakamura |
| 2014 | ACL | On the Elements of an Accurate Tree-to-String Machine Translation System. | Graham Neubig, Kevin Duh |
| 2014 | ACL | Optimizing Segmentation Strategies for Simultaneous Speech Translation. | Yusuke Oda, Graham Neubig, Sakriani Sakti, Tomoki Toda, Satoshi Nakamura |
| 2014 | COLING | Discriminative Language Models as a Tool for Machine Translation Error Analysis. | Koichi Akabe, Graham Neubig, Sakriani Sakti, Tomoki Toda, Satoshi Nakamura |
| 2014 | COLING | Reinforcement Learning of Cooperative Persuasive Dialogue Policies using Framing. | Takuya Hiraoka, Graham Neubig, Sakriani Sakti, Tomoki Toda, Satoshi Nakamura |
| 2014 | EACL | Acquiring a Dictionary of Emotion-Provoking Events. | Hoa Trong Vu, Graham Neubig, Sakriani Sakti, Tomoki Toda, Satoshi Nakamura |
| 2014 | ICASSP | Regression approaches to perceptual age control in singing voice conversion. | Kazuhiro Kobayashi, Tomoki Toda, Tomoyasu Nakano, Masataka Goto, Graham Neubig, Sakriani Sakti, Satoshi Nakamura |
| 2014 | ICASSP | Narrow Adaptive Regularization of weights for grapheme-to-phoneme conversion. | Keigo Kubo, Sakriani Sakti, Graham Neubig, Tomoki Toda, Satoshi Nakamura |
| 2014 | ICASSP | A postfilter to modify the modulation spectrum in HMM-based speech synthesis. | Shinnosuke Takamichi, Tomoki Toda, Graham Neubig, Sakriani Sakti, Satoshi Nakamura |
| 2014 | ICASSP | An evaluation of excitation feature prediction in a hybrid approach to electrolaryngeal speech enhancement. | Kou Tanaka, Tomoki Toda, Graham Neubig, Sakriani Sakti, Satoshi Nakamura |
| 2014 | Interspeech | A hearing impairment simulation method using audiogram-based approximation of auditory charatecteristics. | Nozomi Jinbo, Shinnosuke Takamichi, Tomoki Toda, Graham Neubig, Sakriani Sakti, Satoshi Nakamura |
| 2014 | Interspeech | Statistical singing voice conversion with direct waveform modification based on the spectrum differential. | Kazuhiro Kobayashi, Tomoki Toda, Graham Neubig, Sakriani Sakti, Satoshi Nakamura |
| 2014 | Interspeech | Structured soft margin confidence weighted learning for grapheme-to-phoneme conversion. | Keigo Kubo, Sakriani Sakti, Graham Neubig, Tomoki Toda, Satoshi Nakamura |
| 2014 | Interspeech | Data-driven generation of text balloons based on linguistic and acoustic features of a comics-anime corpus. | Sho Matsumiya, Sakriani Sakti, Graham Neubig, Tomoki Toda, Satoshi Nakamura |
| 2014 | Interspeech | Direct F | Kou Tanaka, Tomoki Toda, Graham Neubig, Sakriani Sakti, Satoshi Nakamura |
| 2014 | Interspeech | Articulatory controllable speech modification based on statistical feature mapping with Gaussian mixture models. | Patrick Lumban Tobing, Tomoki Toda, Graham Neubig, Sakriani Sakti, Satoshi Nakamura, Ayu Purwarianti |
| 2014 | LREC | Language Resource Addition: Dictionary or Corpus? | Shinsuke Mori, Graham Neubig |
| 2014 | LREC | Towards Multilingual Conversations in the Medical Domain: Development of Multilingual Medical Data and A Network-based ASR System. | Sakriani Sakti, Keigo Kubo, Sho Matsumiya, Graham Neubig, Tomoki Toda, Satoshi Nakamura, Fumihiro Adachi, Ryosuke Isotani |
| 2014 | LREC | Collection of a Simultaneous Translation Corpus for Comparative Analysis. | Hiroaki Shimizu, Graham Neubig, Sakriani Sakti, Tomoki Toda, Satoshi Nakamura |
| 2013 | ACL | Adaptation Data Selection using Neural Language Models: Experiments in Machine Translation. | Kevin Duh, Graham Neubig, Katsuhito Sudoh, Hajime Tsukada |
| 2013 | ACL | Travatar: A Forest-to-String Machine Translation Engine based on Tree Transducers. | Graham Neubig |
| 2013 | ACL | Towards High-Reliability Speech Translation in the Medical Domain. | Graham Neubig, Sakriani Sakti, Tomoki Toda, Satoshi Nakamura, Yuji Matsumoto, Ryosuke Isotani, Yukichi Ikeda |
| 2013 | ASRU | Dialogue management for leading the conversation in persuasive dialogue systems. | Takuya Hiraoka, Yuki Yamauchi, Graham Neubig, Sakriani Sakti, Tomoki Toda, Satoshi Nakamura |
| 2013 | IJCNLP | A Framework and Tool for Collaborative Extraction of Reliable Information. | Graham Neubig, Shinsuke Mori, Masahiro Mizukami |
| 2013 | Interspeech | Simple, lexicalized choice of translation timing for simultaneous speech translation. | Tomoki Fujita, Graham Neubig, Sakriani Sakti, Tomoki Toda, Satoshi Nakamura |
| 2013 | Interspeech | Generalizing continuous-space translation of paralinguistic information. | Takatomo Kano, Shinnosuke Takamichi, Sakriani Sakti, Graham Neubig, Tomoki Toda, Satoshi Nakamura |
| 2013 | Interspeech | An investigation of acoustic features for singing voice conversion based on perceptual age. | Kazuhiro Kobayashi, Hironori Doi, Tomoki Toda, Tomoyasu Nakano, Masataka Goto, Graham Neubig, Sakriani Sakti, Satoshi Nakamura |
| 2013 | Interspeech | Grapheme-to-phoneme conversion based on adaptive regularization of weight vectors. | Keigo Kubo, Sakriani Sakti, Graham Neubig, Tomoki Toda, Satoshi Nakamura |
| 2013 | Interspeech | A digital signal processor implementation of silent/electrolaryngeal speech enhancement based on real-time statistical voice conversion. | Takuto Moriguchi, Tomoki Toda, Motoaki Sano, Hiroshi Sato, Graham Neubig, Sakriani Sakti, Satoshi Nakamura |
| 2013 | Interspeech | An empirical comparison of joint optimization techniques for speech translation. | Masaya Ohgushi, Graham Neubig, Sakriani Sakti, Tomoki Toda, Satoshi Nakamura |
| 2013 | Interspeech | Efficient speech transcription through respeaking. | Matthias Sperber, Graham Neubig, Christian Fgen, Satoshi Nakamura, Alex Waibel |
| 2013 | Interspeech | Improvements to HMM-based speech synthesis based on parameter generation with rich context models. | Shinnosuke Takamichi, Tomoki Toda, Yoshinori Shiga, Sakriani Sakti, Graham Neubig, Satoshi Nakamura |
| 2013 | Interspeech | A hybrid approach to electrolaryngeal speech enhancement based on spectral subtraction and statistical voice conversion. | Kou Tanaka, Tomoki Toda, Graham Neubig, Sakriani Sakti, Satoshi Nakamura |
| 2012 | ACL | Machine Translation without Words through Substring Alignment. | Graham Neubig, Taro Watanabe, Shinsuke Mori, Tatsuya Kawahara |
| 2012 | EMNLP | Inducing a Discriminative Parser to Optimize Machine Translation Reordering. | Graham Neubig, Taro Watanabe, Shinsuke Mori |
| 2011 | ACL | Pointwise Prediction for Robust, Adaptable Japanese Morphological Analysis. | Graham Neubig, Yosuke Nakata, Shinsuke Mori |
| 2011 | ACL | An Unsupervised Model for Joint Phrase Alignment and Extraction. | Graham Neubig, Taro Watanabe, Eiichiro Sumita, Shinsuke Mori, Tatsuya Kawahara |
| 2011 | IJCNLP | Training Dependency Parsers from Partially Annotated Corpora. | Daniel Flannery, Yusuke Miyao, Graham Neubig, Shinsuke Mori |
| 2011 | IJCNLP | Safety Information Mining - What can NLP do in a disaster -. | Graham Neubig, Yuichiroh Matsubayashi, Masato Hagiwara, Koji Murakami |
| 2011 | Interspeech | A Pointwise Approach to Pronunciation Estimation for a TTS Front-End. | Shinsuke Mori, Graham Neubig |
| 2010 | ICASSP | Improved statistical models for SMT-based speaking style transformation. | Graham Neubig, Yuya Akita, Shinsuke Mori, Tatsuya Kawahara |
| 2010 | Interspeech | Semi-automated update of automatic transcription system for the Japanese national congress. | Yuya Akita, Masato Mimura, Graham Neubig, Tatsuya Kawahara |
| 2010 | Interspeech | Learning a language model from continuous speech. | Graham Neubig, Masato Mimura, Shinsuke Mori, Tatsuya Kawahara |
| 2010 | LREC | Word-based Partial Annotation for Efficient Corpus Construction. | Graham Neubig, Shinsuke Mori |
| 2009 | Interspeech | A WFST-based log-linear framework for speaking-style transformation. | Graham Neubig, Shinsuke Mori, Tatsuya Kawahara |