Luke Zettlemoyer
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
202
Venues
19
Active years
2007–2025
Best venue rank
A*
Where they publish
Papers
202 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ACL | Improving Factuality with Explicit Working Memory. | Mingda Chen, Yang Li, Karthik Padthe, Rulin Shao, Alicia Yi Sun, Luke Zettlemoyer, Gargi Ghosh, Wen-tau Yih |
| 2025 | ACL | Byte Latent Transformer: Patches Scale Better Than Tokens. | Artidoro Pagnoni, Ramakanth Pasunuru, Pedro Rodrguez, John Nguyen, Benjamin Muller, Margaret Li, Chunting Zhou, Lili Yu, Jason E. Weston, Luke Zettlemoyer, Gargi Ghosh, Mike Lewis, Ari Holtzman, Srini Iyer |
| 2025 | EMNLP | s1: Simple test-time scaling. | Niklas Muennighoff, Zitong Yang, Weijia Shi, Xiang Lisa Li, Li Fei-Fei, Hannaneh Hajishirzi, Luke Zettlemoyer, Percy Liang, Emmanuel J. Cands, Tatsunori Hashimoto |
| 2025 | EMNLP | MULTIGUARD: An Efficient Approach for AI Safety Moderation Across Languages and Modalities. | Sahil Verma, Keegan Hines, Jeff A. Bilmes, Charlotte Siska, Luke Zettlemoyer, Hila Gonen, Chandan Singh |
| 2025 | ICLR | Generative Adapter: Contextualizing Language Models in Parameters with A Single Forward Pass. | Tong Chen, Hao Fang, Patrick Xia, Xiaodong Liu, Benjamin Van Durme, Luke Zettlemoyer, Jianfeng Gao, Hao Cheng |
| 2025 | ICLR | Fantastic Copyrighted Beasts and How (Not) to Generate Them. | Luxi He, Yangsibo Huang, Weijia Shi, Tinghao Xie, Haotian Liu, Yue Wang, Luke Zettlemoyer, Chiyuan Zhang, Danqi Chen, Peter Henderson |
| 2025 | ICLR | (Mis)Fitting Scaling Laws: A Survey of Scaling Law Fitting Techniques in Deep Learning. | Margaret Li, Sneha Kudugunta, Luke Zettlemoyer |
| 2025 | ICLR | MUSE: Machine Unlearning Six-Way Evaluation for Language Models. | Weijia Shi, Jaechan Lee, Yangsibo Huang, Sadhika Malladi, Jieyu Zhao, Ari Holtzman, Daogao Liu, Luke Zettlemoyer, Noah A. Smith, Chiyuan Zhang |
| 2025 | ICLR | Latent Action Pretraining from Videos. | Seonghyeon Ye, Joel Jang, Byeongguk Jeon, Se June Joo, Jianwei Yang, Baolin Peng, Ajay Mandlekar, Reuben Tan, Yu-Wei Chao, Bill Yuchen Lin, Lars Liden, Kimin Lee, Jianfeng Gao, Luke Zettlemoyer, Dieter Fox, Minjoon Seo |
| 2025 | ICLR | Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model. | Chunting Zhou, Lili Yu, Arun Babu, Kushal Tirumala, Michihiro Yasunaga, Leonid Shamis, Jacob Kahn, Xuezhe Ma, Luke Zettlemoyer, Omer Levy |
| 2025 | ICML | Memory Layers at Scale. | Vincent-Pierre Berges, Barlas Oguz, Daniel Haziza, Wen-tau Yih, Luke Zettlemoyer, Gargi Ghosh |
| 2025 | NAACL | Does Liking Yellow Imply Driving a School Bus? Semantic Leakage in Language Models. | Hila Gonen, Terra Blevins, Alisa Liu, Luke Zettlemoyer, Noah A. Smith |
| 2024 | ACL | The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants. | Lucas Bandarkar, Davis Liang, Benjamin Muller, Mikel Artetxe, Satya Narayan Shukla, Donald Husa, Naman Goyal, Abhinandan Krishnan, Luke Zettlemoyer, Madian Khabsa |
| 2024 | ACL | OLMo: Accelerating the Science of Language Models. | Dirk Groeneveld, Iz Beltagy, Evan Pete Walsh, Akshita Bhagia, Rodney Kinney, Oyvind Tafjord, Ananya Harsh Jha, Hamish Ivison, Ian Magnusson, Yizhong Wang, Shane Arora, David Atkinson, Russell Authur, Khyathi Raghavi Chandu, Arman Cohan, Jennifer Dumas, Yanai Elazar, Yuling Gu, Jack Hessel, Tushar Khot, William Merrill, Jacob Morrison, Niklas Muennighoff, Aakanksha Naik, Crystal Nam, Matthew E. Peters, Valentina Pyatkin, Abhilasha Ravichander, Dustin Schwenk, Saurabh Shah, Will Smith, Emma Strubell, Nishant Subramani, Mitchell Wortsman, Pradeep Dasigi, Nathan Lambert, Kyle Richardson, Luke Zettlemoyer, Jesse Dodge, Kyle Lo, Luca Soldaini, Noah A. Smith, Hannaneh Hajishirzi |
| 2024 | ACL | MYTE: Morphology-Driven Byte Encoding for Better and Fairer Multilingual Language Modeling. | Tomasz Limisiewicz, Terra Blevins, Hila Gonen, Orevaoghene Ahia, Luke Zettlemoyer |
| 2024 | ACL | Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research. | Luca Soldaini, Rodney Kinney, Akshita Bhagia, Dustin Schwenk, David Atkinson, Russell Authur, Ben Bogin, Khyathi Raghavi Chandu, Jennifer Dumas, Yanai Elazar, Valentin Hofmann, Ananya Harsh Jha, Sachin Kumar, Li Lucy, Xinxi Lyu, Nathan Lambert, Ian Magnusson, Jacob Morrison, Niklas Muennighoff, Aakanksha Naik, Crystal Nam, Matthew E. Peters, Abhilasha Ravichander, Kyle Richardson, Zejiang Shen, Emma Strubell, Nishant Subramani, Oyvind Tafjord, Pete Walsh, Luke Zettlemoyer, Noah A. Smith, Hannaneh Hajishirzi, Iz Beltagy, Dirk Groeneveld, Jesse Dodge, Kyle Lo |
| 2024 | CVPR | MoDE: CLIP Data Experts via Clustering. | Jiawei Ma, Po-Yao Huang, Saining Xie, Shang-Wen Li, Luke Zettlemoyer, Shih-Fu Chang, Wen-Tau Yih, Hu Xu |
| 2024 | EACL | Translate to Disambiguate: Zero-shot Multilingual Word Sense Disambiguation with Pretrained Language Models. | Haoqiang Kang, Terra Blevins, Luke Zettlemoyer |
| 2024 | EMNLP | Altogether: Image Captioning via Re-aligning Alt-text. | Hu Xu, Po-Yao Huang, Xiaoqing Ellen Tan, Ching-Feng Yeh, Jacob Kahn, Christine Jou, Gargi Ghosh, Omer Levy, Luke Zettlemoyer, Wen-tau Yih, Shang-Wen Li, Saining Xie, Christoph Feichtenhofer |
| 2024 | EMNLP | Breaking the Curse of Multilinguality with Cross-lingual Expert Language Models. | Terra Blevins, Tomasz Limisiewicz, Suchin Gururangan, Margaret Li, Hila Gonen, Noah A. Smith, Luke Zettlemoyer |
| 2024 | EMNLP | CopyBench: Measuring Literal and Non-Literal Reproduction of Copyright-Protected Text in Language Model Generation. | Tong Chen, Akari Asai, Niloofar Mireshghallah, Sewon Min, James Grimmelmann, Yejin Choi, Hannaneh Hajishirzi, Luke Zettlemoyer, Pang Wei Koh |
| 2024 | EMNLP | Better Alignment with Instruction Back-and-Forth Translation. | Thao Nguyen, Jeffrey Li, Sewoong Oh, Ludwig Schmidt, Jason Weston, Luke Zettlemoyer, Xian Li |
| 2024 | ICLR | Representation Deficiency in Masked Language Modeling. | Yu Meng, Jitin Krishnan, Sinong Wang, Qifan Wang, Yuning Mao, Han Fang, Marjan Ghazvininejad, Jiawei Han, Luke Zettlemoyer |
| 2024 | ICLR | Demystifying CLIP Data. | Hu Xu, Saining Xie, Xiaoqing Ellen Tan, Po-Yao Huang, Russell Howes, Vasu Sharma, Shang-Wen Li, Gargi Ghosh, Luke Zettlemoyer, Christoph Feichtenhofer |
| 2024 | ICLR | RA-DIT: Retrieval-Augmented Dual Instruction Tuning. | Xi Victoria Lin, Xilun Chen, Mingda Chen, Weijia Shi, Maria Lomeli, Richard James, Pedro Rodriguez, Jacob Kahn, Gergely Szilvasy, Mike Lewis, Luke Zettlemoyer, Wen-tau Yih |
| 2024 | ICLR | Self-Alignment with Instruction Backtranslation. | Xian Li, Ping Yu, Chunting Zhou, Timo Schick, Omer Levy, Luke Zettlemoyer, Jason Weston, Mike Lewis |
| 2024 | ICLR | SILO Language Models: Isolating Legal Risk In a Nonparametric Datastore. | Sewon Min, Suchin Gururangan, Eric Wallace, Weijia Shi, Hannaneh Hajishirzi, Noah A. Smith, Luke Zettlemoyer |
| 2024 | ICLR | Detecting Pretraining Data from Large Language Models. | Weijia Shi, Anirudh Ajith, Mengzhou Xia, Yangsibo Huang, Daogao Liu, Terra Blevins, Danqi Chen, Luke Zettlemoyer |
| 2024 | ICLR | In-Context Pretraining: Language Modeling Beyond Document Boundaries. | Weijia Shi, Sewon Min, Maria Lomeli, Chunting Zhou, Margaret Li, Xi Victoria Lin, Noah A. Smith, Luke Zettlemoyer, Wen-tau Yih, Mike Lewis |
| 2024 | NAACL | Trusting Your Evidence: Hallucinate Less with Context-aware Decoding. | Weijia Shi, Xiaochuang Han, Mike Lewis, Yulia Tsvetkov, Luke Zettlemoyer, Wen-tau Yih |
| 2024 | NAACL | REPLUG: Retrieval-Augmented Black-Box Language Models. | Weijia Shi, Sewon Min, Michihiro Yasunaga, Minjoon Seo, Richard James, Mike Lewis, Luke Zettlemoyer, Wen-tau Yih |
| 2023 | AAAI | Logical Satisfiability of Counterfactuals for Faithful Explanations in NLI. | Suzanna Sia, Anton Belyy, Amjad Almahairi, Madian Khabsa, Luke Zettlemoyer, Lambert Mathias |
| 2023 | ACL | CREPE: Open-Domain Question Answering with False Presuppositions. | Xinyan Yu, Sewon Min, Luke Zettlemoyer, Hannaneh Hajishirzi |
| 2023 | ACL | In-context Examples Selection for Machine Translation. | Sweta Agrawal, Chunting Zhou, Mike Lewis, Luke Zettlemoyer, Marjan Ghazvininejad |
| 2023 | ACL | Prompting Language Models for Linguistic Structure. | Terra Blevins, Hila Gonen, Luke Zettlemoyer |
| 2023 | ACL | Contrastive Decoding: Open-ended Text Generation as Optimization. | Xiang Lisa Li, Ari Holtzman, Daniel Fried, Percy Liang, Jason Eisner, Tatsunori Hashimoto, Luke Zettlemoyer, Mike Lewis |
| 2023 | ACL | Z-ICL: Zero-Shot In-Context Learning with Pseudo-Demonstrations. | Xinxi Lyu, Sewon Min, Iz Beltagy, Luke Zettlemoyer, Hannaneh Hajishirzi |
| 2023 | ACL | Nonparametric Masked Language Modeling. | Sewon Min, Weijia Shi, Mike Lewis, Xilun Chen, Wen-tau Yih, Hannaneh Hajishirzi, Luke Zettlemoyer |
| 2023 | ACL | One Embedder, Any Task: Instruction-Finetuned Text Embeddings. | Hongjin Su, Weijia Shi, Jungo Kasai, Yizhong Wang, Yushi Hu, Mari Ostendorf, Wen-tau Yih, Noah A. Smith, Luke Zettlemoyer, Tao Yu |
| 2023 | ACL | Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters. | Boshi Wang, Sewon Min, Xiang Deng, Jiaming Shen, You Wu, Luke Zettlemoyer, Huan Sun |
| 2023 | ACL | Training Trajectories of Language Models Across Scales. | Mengzhou Xia, Mikel Artetxe, Chunting Zhou, Xi Victoria Lin, Ramakanth Pasunuru, Danqi Chen, Luke Zettlemoyer, Veselin Stoyanov |
| 2023 | EMNLP | Revisiting Machine Translation for Cross-lingual Classification. | Mikel Artetxe, Vedanuj Goswami, Shruti Bhosale, Angela Fan, Luke Zettlemoyer |
| 2023 | EMNLP | Demystifying Prompts in Language Models via Perplexity Estimation. | Hila Gonen, Srini Iyer, Terra Blevins, Noah A. Smith, Luke Zettlemoyer |
| 2023 | EMNLP | XLM-V: Overcoming the Vocabulary Bottleneck in Multilingual Masked Language Models. | Davis Liang, Hila Gonen, Yuning Mao, Rui Hou, Naman Goyal, Marjan Ghazvininejad, Luke Zettlemoyer, Madian Khabsa |
| 2023 | EMNLP | FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation. | Sewon Min, Kalpesh Krishna, Xinxi Lyu, Mike Lewis, Wen-tau Yih, Pang Wei Koh, Mohit Iyyer, Luke Zettlemoyer, Hannaneh Hajishirzi |
| 2023 | EMNLP | Toward Human Readable Prompt Tuning: Kubrick's The Shining is a good movie, and a good prompt too? | Weijia Shi, Xiaochuang Han, Hila Gonen, Ari Holtzman, Yulia Tsvetkov, Luke Zettlemoyer |
| 2023 | EMNLP | Getting MoRE out of Mixture of Language Model Reasoning Experts. | Chenglei Si, Weijia Shi, Chen Zhao, Luke Zettlemoyer, Jordan L. Boyd-Graber |
| 2023 | EMNLP | RoMQA: A Benchmark for Robust, Multi-evidence, Multi-answer Question Answering. | Victor Zhong, Weijia Shi, Wen-tau Yih, Luke Zettlemoyer |
| 2023 | ICCV | CiT: Curation in Training for Effective Vision-Language Data. | Hu Xu, Saining Xie, Po-Yao Huang, Licheng Yu, Russell Howes, Gargi Ghosh, Luke Zettlemoyer, Christoph Feichtenhofer |
| 2023 | ICLR | Binding Language Models in Symbolic Languages. | Zhoujun Cheng, Tianbao Xie, Peng Shi, Chengzu Li, Rahul Nadkarni, Yushi Hu, Caiming Xiong, Dragomir Radev, Mari Ostendorf, Luke Zettlemoyer, Noah A. Smith, Tao Yu |
| 2023 | ICLR | InCoder: A Generative Model for Code Infilling and Synthesis. | Daniel Fried, Armen Aghajanyan, Jessy Lin, Sida Wang, Eric Wallace, Freda Shi, Ruiqi Zhong, Scott Yih, Luke Zettlemoyer, Mike Lewis |
| 2023 | ICLR | ROSCOE: A Suite of Metrics for Scoring Step-by-Step Reasoning. | Olga Golovneva, Moya Chen, Spencer Poff, Martin Corredor, Luke Zettlemoyer, Maryam Fazel-Zarandi, Asli Celikyilmaz |
| 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 | AGRO: Adversarial discovery of error-prone Groups for Robust Optimization. | Bhargavi Paranjape, Pradeep Dasigi, Vivek Srikumar, Luke Zettlemoyer, Hannaneh Hajishirzi |
| 2023 | ICLR | Selective Annotation Makes Language Models Better Few-Shot Learners. | Hongjin Su, Jungo Kasai, Chen Henry Wu, Weijia Shi, Tianlu Wang, Jiayi Xin, Rui Zhang, Mari Ostendorf, Luke Zettlemoyer, Noah A. Smith, Tao Yu |
| 2023 | ICML | Scaling Laws for Generative Mixed-Modal Language Models. | Armen Aghajanyan, Lili Yu, Alexis Conneau, Wei-Ning Hsu, Karen Hambardzumyan, Susan Zhang, Stephen Roller, Naman Goyal, Omer Levy, Luke Zettlemoyer |
| 2023 | ICML | The case for 4-bit precision: k-bit Inference Scaling Laws. | Tim Dettmers, Luke Zettlemoyer |
| 2023 | ICML | DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation. | Yuhang Lai, Chengxi Li, Yiming Wang, Tianyi Zhang, Ruiqi Zhong, Luke Zettlemoyer, Wen-Tau Yih, Daniel Fried, Sida I. Wang, Tao Yu |
| 2023 | ICML | Retrieval-Augmented Multimodal Language Modeling. | Michihiro Yasunaga, Armen Aghajanyan, Weijia Shi, Richard James, Jure Leskovec, Percy Liang, Mike Lewis, Luke Zettlemoyer, Wen-Tau Yih |
| 2022 | ACL | Question Answering Infused Pre-training of General-Purpose Contextualized Representations. | Robin Jia, Mike Lewis, Luke Zettlemoyer |
| 2022 | ACL | Prompt-free and Efficient Few-shot Learning with Language Models. | Rabeeh Karimi Mahabadi, Luke Zettlemoyer, James Henderson, Lambert Mathias, Marzieh Saeidi, Veselin Stoyanov, Majid Yazdani |
| 2022 | ACL | Noisy Channel Language Model Prompting for Few-Shot Text Classification. | Sewon Min, Mike Lewis, Hannaneh Hajishirzi, Luke Zettlemoyer |
| 2022 | ACL | FaVIQ: FAct Verification from Information-seeking Questions. | Jungsoo Park, Sewon Min, Jaewoo Kang, Luke Zettlemoyer, Hannaneh Hajishirzi |
| 2022 | EMNLP | Efficient Large Scale Language Modeling with Mixtures of Experts. | Mikel Artetxe, Shruti Bhosale, Naman Goyal, Todor Mihaylov, Myle Ott, Sam Shleifer, Xi Victoria Lin, Jingfei Du, Srinivasan Iyer, Ramakanth Pasunuru, Giridharan Anantharaman, Xian Li, Shuohui Chen, Halil Akin, Mandeep Baines, Louis Martin, Xing Zhou, Punit Singh Koura, Brian O'Horo, Jeffrey Wang, Luke Zettlemoyer, Mona T. Diab, Zornitsa Kozareva, Veselin Stoyanov |
| 2022 | EMNLP | On the Role of Bidirectionality in Language Model Pre-Training. | Mikel Artetxe, Jingfei Du, Naman Goyal, Luke Zettlemoyer, Veselin Stoyanov |
| 2022 | EMNLP | Analyzing the Mono- and Cross-Lingual Pretraining Dynamics of Multilingual Language Models. | Terra Blevins, Hila Gonen, Luke Zettlemoyer |
| 2022 | EMNLP | Language Contamination Helps Explains the Cross-lingual Capabilities of English Pretrained Models. | Terra Blevins, Luke Zettlemoyer |
| 2022 | EMNLP | CORE: A Retrieve-then-Edit Framework for Counterfactual Data Generation. | Tanay Dixit, Bhargavi Paranjape, Hannaneh Hajishirzi, Luke Zettlemoyer |
| 2022 | EMNLP | Whose Language Counts as High Quality? Measuring Language Ideologies in Text Data Selection. | Suchin Gururangan, Dallas Card, Sarah K. Dreier, Emily K. Gade, Leroy Z. Wang, Zeyu Wang, Luke Zettlemoyer, Noah A. Smith |
| 2022 | EMNLP | Few-shot Learning with Multilingual Generative Language Models. | Xi Victoria Lin, Todor Mihaylov, Mikel Artetxe, Tianlu Wang, Shuohui Chen, Daniel Simig, Myle Ott, Naman Goyal, Shruti Bhosale, Jingfei Du, Ramakanth Pasunuru, Sam Shleifer, Punit Singh Koura, Vishrav Chaudhary, Brian O'Horo, Jeff Wang, Luke Zettlemoyer, Zornitsa Kozareva, Mona T. Diab, Veselin Stoyanov, Xian Li |
| 2022 | EMNLP | Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? | Sewon Min, Xinxi Lyu, Ari Holtzman, Mikel Artetxe, Mike Lewis, Hannaneh Hajishirzi, Luke Zettlemoyer |
| 2022 | EMNLP | M2D2: A Massively Multi-Domain Language Modeling Dataset. | Machel Reid, Victor Zhong, Suchin Gururangan, Luke Zettlemoyer |
| 2022 | EMNLP | Improving Passage Retrieval with Zero-Shot Question Generation. | Devendra Singh Sachan, Mike Lewis, Mandar Joshi, Armen Aghajanyan, Wen-tau Yih, Joelle Pineau, Luke Zettlemoyer |
| 2022 | EMNLP | Natural Language to Code Translation with Execution. | Freda Shi, Daniel Fried, Marjan Ghazvininejad, Luke Zettlemoyer, Sida I. Wang |
| 2022 | EMNLP | Nearest Neighbor Zero-Shot Inference. | Weijia Shi, Julian Michael, Suchin Gururangan, Luke Zettlemoyer |
| 2022 | EMNLP | UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models. | Tianbao Xie, Chen Henry Wu, Peng Shi, Ruiqi Zhong, Torsten Scholak, Michihiro Yasunaga, Chien-Sheng Wu, Ming Zhong, Pengcheng Yin, Sida I. Wang, Victor Zhong, Bailin Wang, Chengzu Li, Connor Boyle, Ansong Ni, Ziyu Yao, Dragomir Radev, Caiming Xiong, Lingpeng Kong, Rui Zhang, Noah A. Smith, Luke Zettlemoyer, Tao Yu |
| 2022 | ICLR | HTLM: Hyper-Text Pre-Training and Prompting of Language Models. | Armen Aghajanyan, Dmytro Okhonko, Mike Lewis, Mandar Joshi, Hu Xu, Gargi Ghosh, Luke Zettlemoyer |
| 2022 | ICLR | 8-bit Optimizers via Block-wise Quantization. | Tim Dettmers, Mike Lewis, Sam Shleifer, Luke Zettlemoyer |
| 2022 | NAACL | BitextEdit: Automatic Bitext Editing for Improved Low-Resource Machine Translation. | Eleftheria Briakou, Sida I. Wang, Luke Zettlemoyer, Marjan Ghazvininejad |
| 2022 | NAACL | DEMix Layers: Disentangling Domains for Modular Language Modeling. | Suchin Gururangan, Mike Lewis, Ari Holtzman, Noah A. Smith, Luke Zettlemoyer |
| 2022 | NAACL | Quantifying Adaptability in Pre-trained Language Models with 500 Tasks. | Belinda Z. Li, Jane A. Yu, Madian Khabsa, Luke Zettlemoyer, Alon Y. Halevy, Jacob Andreas |
| 2022 | NAACL | MetaICL: Learning to Learn In Context. | Sewon Min, Mike Lewis, Luke Zettlemoyer, Hannaneh Hajishirzi |
| 2021 | ACL | Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning. | Armen Aghajanyan, Sonal Gupta, Luke Zettlemoyer |
| 2021 | ACL | Inducing Semantic Roles Without Syntax. | Julian Michael, Luke Zettlemoyer |
| 2021 | ACL | Prompting Contrastive Explanations for Commonsense Reasoning Tasks. | Bhargavi Paranjape, Julian Michael, Marjan Ghazvininejad, Hannaneh Hajishirzi, Luke Zettlemoyer |
| 2021 | ACL | DESCGEN: A Distantly Supervised Datasetfor Generating Entity Descriptions. | Weijia Shi, Mandar Joshi, Luke Zettlemoyer |
| 2021 | ACL | Bilingual Lexicon Induction via Unsupervised Bitext Construction and Word Alignment. | Haoyue Shi, Luke Zettlemoyer, Sida I. Wang |
| 2021 | ACL | VLM: Task-agnostic Video-Language Model Pre-training for Video Understanding. | Hu Xu, Gargi Ghosh, Po-Yao Huang, Prahal Arora, Masoumeh Aminzadeh, Christoph Feichtenhofer, Florian Metze, Luke Zettlemoyer |
| 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 | CoRL | Language Grounding with 3D Objects. | Jesse Thomason, Mohit Shridhar, Yonatan Bisk, Chris Paxton, Luke Zettlemoyer |
| 2021 | EACL | FEWS: Large-Scale, Low-Shot Word Sense Disambiguation with the Dictionary. | Terra Blevins, Mandar Joshi, Luke Zettlemoyer |
| 2021 | EMNLP | Muppet: Massive Multi-task Representations with Pre-Finetuning. | Armen Aghajanyan, Anchit Gupta, Akshat Shrivastava, Xilun Chen, Luke Zettlemoyer, Sonal Gupta |
| 2021 | EMNLP | Surface Form Competition: Why the Highest Probability Answer Isn't Always Right. | Ari Holtzman, Peter West, Vered Shwartz, Yejin Choi, Luke Zettlemoyer |
| 2021 | EMNLP | VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding. | Hu Xu, Gargi Ghosh, Po-Yao Huang, Dmytro Okhonko, Armen Aghajanyan, Florian Metze, Luke Zettlemoyer, Christoph Feichtenhofer |
| 2021 | ICLR | Better Fine-Tuning by Reducing Representational Collapse. | Armen Aghajanyan, Akshat Shrivastava, Anchit Gupta, Naman Goyal, Luke Zettlemoyer, Sonal Gupta |
| 2021 | ICLR | Learning Better Structured Representations Using Low-rank Adaptive Label Smoothing. | Asish Ghoshal, Xilun Chen, Sonal Gupta, Luke Zettlemoyer, Yashar Mehdad |
| 2021 | ICLR | Nearest Neighbor Machine Translation. | Urvashi Khandelwal, Angela Fan, Dan Jurafsky, Luke Zettlemoyer, Mike Lewis |
| 2021 | ICLR | DeLighT: Deep and Light-weight Transformer. | Sachin Mehta, Marjan Ghazvininejad, Srinivasan Iyer, Luke Zettlemoyer, Hannaneh Hajishirzi |
| 2021 | ICML | BASE Layers: Simplifying Training of Large, Sparse Models. | Mike Lewis, Shruti Bhosale, Tim Dettmers, Naman Goyal, Luke Zettlemoyer |
| 2020 | ACL | Moving Down the Long Tail of Word Sense Disambiguation with Gloss Informed Bi-encoders. | Terra Blevins, Luke Zettlemoyer |
| 2020 | ACL | Unsupervised Cross-lingual Representation Learning at Scale. | Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmn, Edouard Grave, Myle Ott, Luke Zettlemoyer, Veselin Stoyanov |
| 2020 | ACL | Emerging Cross-lingual Structure in Pretrained Language Models. | Alexis Conneau, Shijie Wu, Haoran Li, Luke Zettlemoyer, Veselin Stoyanov |
| 2020 | ACL | Simple and Effective Retrieve-Edit-Rerank Text Generation. | Nabil Hossain, Marjan Ghazvininejad, Luke Zettlemoyer |
| 2020 | ACL | BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension. | Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Veselin Stoyanov, Luke Zettlemoyer |
| 2020 | ACL | Active Learning for Coreference Resolution using Discrete Annotation. | Belinda Z. Li, Gabriel Stanovsky, Luke Zettlemoyer |
| 2020 | ACL | Controlled Crowdsourcing for High-Quality QA-SRL Annotation. | Paul Roit, Ayal Klein, Daniela Stepanov, Jonathan Mamou, Julian Michael, Gabriel Stanovsky, Luke Zettlemoyer, Ido Dagan |
| 2020 | COLING | QANom: Question-Answer driven SRL for Nominalizations. | Ayal Klein, Jonathan Mamou, Valentina Pyatkin, Daniela Stepanov, Hangfeng He, Dan Roth, Luke Zettlemoyer, Ido Dagan |
| 2020 | CVPR | ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks. | Mohit Shridhar, Jesse Thomason, Daniel Gordon, Yonatan Bisk, Winson Han, Roozbeh Mottaghi, Luke Zettlemoyer, Dieter Fox |
| 2020 | EMNLP | Low-Resource Domain Adaptation for Compositional Task-Oriented Semantic Parsing. | Xilun Chen, Asish Ghoshal, Yashar Mehdad, Luke Zettlemoyer, Sonal Gupta |
| 2020 | EMNLP | Learning to Model and Ignore Dataset Bias with Mixed Capacity Ensembles. | Christopher Clark, Mark Yatskar, Luke Zettlemoyer |
| 2020 | EMNLP | AmbigQA: Answering Ambiguous Open-domain Questions. | Sewon Min, Julian Michael, Hannaneh Hajishirzi, Luke Zettlemoyer |
| 2020 | EMNLP | An Information Bottleneck Approach for Controlling Conciseness in Rationale Extraction. | Bhargavi Paranjape, Mandar Joshi, John Thickstun, Hannaneh Hajishirzi, Luke Zettlemoyer |
| 2020 | EMNLP | Scalable Zero-shot Entity Linking with Dense Entity Retrieval. | Ledell Wu, Fabio Petroni, Martin Josifoski, Sebastian Riedel, Luke Zettlemoyer |
| 2020 | EMNLP | Grounded Adaptation for Zero-shot Executable Semantic Parsing. | Victor Zhong, Mike Lewis, Sida I. Wang, Luke Zettlemoyer |
| 2020 | ICLR | Generalization through Memorization: Nearest Neighbor Language Models. | Urvashi Khandelwal, Omer Levy, Dan Jurafsky, Luke Zettlemoyer, Mike Lewis |
| 2020 | ICML | Aligned Cross Entropy for Non-Autoregressive Machine Translation. | Marjan Ghazvininejad, Vladimir Karpukhin, Luke Zettlemoyer, Omer Levy |
| 2019 | ACL | Better Character Language Modeling through Morphology. | Terra Blevins, Luke Zettlemoyer |
| 2019 | ACL | The Referential Reader: A Recurrent Entity Network for Anaphora Resolution. | Fei Liu, Luke Zettlemoyer, Jacob Eisenstein |
| 2019 | ACL | Compositional Questions Do Not Necessitate Multi-hop Reasoning. | Sewon Min, Eric Wallace, Sameer Singh, Matt Gardner, Hannaneh Hajishirzi, Luke Zettlemoyer |
| 2019 | ACL | Multi-hop Reading Comprehension through Question Decomposition and Rescoring. | Sewon Min, Victor Zhong, Luke Zettlemoyer, Hannaneh Hajishirzi |
| 2019 | ACL | Evaluating Gender Bias in Machine Translation. | Gabriel Stanovsky, Noah A. Smith, Luke Zettlemoyer |
| 2019 | ACL | E3: Entailment-driven Extracting and Editing for Conversational Machine Reading. | Victor Zhong, Luke Zettlemoyer |
| 2019 | CoRL | Vision-and-Dialog Navigation. | Jesse Thomason, Michael Murray, Maya Cakmak, Luke Zettlemoyer |
| 2019 | EMNLP | JuICe: A Large Scale Distantly Supervised Dataset for Open Domain Context-based Code Generation. | Rajas Agashe, Srinivasan Iyer, Luke Zettlemoyer |
| 2019 | EMNLP | Cloze-driven Pretraining of Self-attention Networks. | Alexei Baevski, Sergey Edunov, Yinhan Liu, Luke Zettlemoyer, Michael Auli |
| 2019 | EMNLP | Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases. | Christopher Clark, Mark Yatskar, Luke Zettlemoyer |
| 2019 | EMNLP | Mask-Predict: Parallel Decoding of Conditional Masked Language Models. | Marjan Ghazvininejad, Omer Levy, Yinhan Liu, Luke Zettlemoyer |
| 2019 | EMNLP | Learning Programmatic Idioms for Scalable Semantic Parsing. | Srinivasan Iyer, Alvin Cheung, Luke Zettlemoyer |
| 2019 | EMNLP | BERT for Coreference Resolution: Baselines and Analysis. | Mandar Joshi, Omer Levy, Luke Zettlemoyer, Daniel S. Weld |
| 2019 | EMNLP | A Discrete Hard EM Approach for Weakly Supervised Question Answering. | Sewon Min, Danqi Chen, Hannaneh Hajishirzi, Luke Zettlemoyer |
| 2019 | EMNLP | Span-based Hierarchical Semantic Parsing for Task-Oriented Dialog. | Panupong Pasupat, Sonal Gupta, Karishma Mandyam, Rushin Shah, Mike Lewis, Luke Zettlemoyer |
| 2019 | NAACL | Iterative Search for Weakly Supervised Semantic Parsing. | Pradeep Dasigi, Matt Gardner, Shikhar Murty, Luke Zettlemoyer, Eduard H. Hovy |
| 2019 | NAACL | pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference. | Mandar Joshi, Eunsol Choi, Omer Levy, Daniel S. Weld, Luke Zettlemoyer |
| 2018 | ACL | Deep RNNs Encode Soft Hierarchical Syntax. | Terra Blevins, Omer Levy, Luke Zettlemoyer |
| 2018 | ACL | Neural Semantic Parsing. | Matt Gardner, Pradeep Dasigi, Srinivasan Iyer, Alane Suhr, Luke Zettlemoyer |
| 2018 | ACL | Jointly Predicting Predicates and Arguments in Neural Semantic Role Labeling. | Luheng He, Kenton Lee, Omer Levy, Luke Zettlemoyer |
| 2018 | ACL | Long Short-Term Memory as a Dynamically Computed Element-wise Weighted Sum. | Omer Levy, Kenton Lee, Nicholas FitzGerald, Luke Zettlemoyer |
| 2018 | ACL | Ultra-Fine Entity Typing. | Eunsol Choi, Omer Levy, Yejin Choi, Luke Zettlemoyer |
| 2018 | ACL | Large-Scale QA-SRL Parsing. | Nicholas FitzGerald, Julian Michael, Luheng He, Luke Zettlemoyer |
| 2018 | EMNLP | QuAC: Question Answering in Context. | Eunsol Choi, He He, Mohit Iyyer, Mark Yatskar, Wen-tau Yih, Yejin Choi, Percy Liang, Luke Zettlemoyer |
| 2018 | EMNLP | Neural Metaphor Detection in Context. | Ge Gao, Eunsol Choi, Yejin Choi, Luke Zettlemoyer |
| 2018 | EMNLP | Mapping Language to Code in Programmatic Context. | Srinivasan Iyer, Ioannis Konstas, Alvin Cheung, Luke Zettlemoyer |
| 2018 | EMNLP | Dissecting Contextual Word Embeddings: Architecture and Representation. | Matthew E. Peters, Mark Neumann, Luke Zettlemoyer, Wen-tau Yih |
| 2018 | EMNLP | SimpleQuestions Nearly Solved: A New Upperbound and Baseline Approach. | Michael Petrochuk, Luke Zettlemoyer |
| 2018 | EMNLP | Syntactic Scaffolds for Semantic Structures. | Swabha Swayamdipta, Sam Thomson, Kenton Lee, Luke Zettlemoyer, Chris Dyer, Noah A. Smith |
| 2018 | LREC | NL2Bash: A Corpus and Semantic Parser for Natural Language Interface to the Linux Operating System. | Xi Victoria Lin, Chenglong Wang, Luke Zettlemoyer, Michael D. Ernst |
| 2018 | NAACL | Adversarial Example Generation with Syntactically Controlled Paraphrase Networks. | Mohit Iyyer, John Wieting, Kevin Gimpel, Luke Zettlemoyer |
| 2018 | NAACL | Higher-Order Coreference Resolution with Coarse-to-Fine Inference. | Kenton Lee, Luheng He, Luke Zettlemoyer |
| 2018 | NAACL | Crowdsourcing Question-Answer Meaning Representations. | Julian Michael, Gabriel Stanovsky, Luheng He, Ido Dagan, Luke Zettlemoyer |
| 2018 | NAACL | Deep Contextualized Word Representations. | Matthew E. Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, Luke Zettlemoyer |
| 2018 | NAACL | Supervised Open Information Extraction. | Gabriel Stanovsky, Julian Michael, Luke Zettlemoyer, Ido Dagan |
| 2017 | ACL | Deep Semantic Role Labeling: What Works and What's Next. | Luheng He, Kenton Lee, Mike Lewis, Luke Zettlemoyer |
| 2017 | ACL | Learning a Neural Semantic Parser from User Feedback. | Srinivasan Iyer, Ioannis Konstas, Alvin Cheung, Jayant Krishnamurthy, Luke Zettlemoyer |
| 2017 | ACL | TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension. | Mandar Joshi, Eunsol Choi, Daniel S. Weld, Luke Zettlemoyer |
| 2017 | ACL | Neural AMR: Sequence-to-Sequence Models for Parsing and Generation. | Ioannis Konstas, Srinivasan Iyer, Mark Yatskar, Yejin Choi, Luke Zettlemoyer |
| 2017 | CoNLL | Zero-Shot Relation Extraction via Reading Comprehension. | Omer Levy, Minjoon Seo, Eunsol Choi, Luke Zettlemoyer |
| 2017 | CVPR | Commonly Uncommon: Semantic Sparsity in Situation Recognition. | Mark Yatskar, Vicente Ordonez, Luke Zettlemoyer, Ali Farhadi |
| 2017 | EMNLP | End-to-end Neural Coreference Resolution. | Kenton Lee, Luheng He, Mike Lewis, Luke Zettlemoyer |
| 2016 | ACL | Document-level Sentiment Inference with Social, Faction, and Discourse Context. | Eunsol Choi, Hannah Rashkin, Luke Zettlemoyer, Yejin Choi |
| 2016 | ACL | Summarizing Source Code using a Neural Attention Model. | Srinivasan Iyer, Ioannis Konstas, Alvin Cheung, Luke Zettlemoyer |
| 2016 | CVPR | Situation Recognition: Visual Semantic Role Labeling for Image Understanding. | Mark Yatskar, Luke Zettlemoyer, Ali Farhadi |
| 2016 | EMNLP | Human-in-the-Loop Parsing. | Luheng He, Julian Michael, Mike Lewis, Luke Zettlemoyer |
| 2016 | EMNLP | Globally Coherent Text Generation with Neural Checklist Models. | Chlo Kiddon, Luke Zettlemoyer, Yejin Choi |
| 2016 | EMNLP | A Theme-Rewriting Approach for Generating Algebra Word Problems. | Rik Koncel-Kedziorski, Ioannis Konstas, Luke Zettlemoyer, Hannaneh Hajishirzi |
| 2016 | EMNLP | Global Neural CCG Parsing with Optimality Guarantees. | Kenton Lee, Mike Lewis, Luke Zettlemoyer |
| 2016 | NAACL | LSTM CCG Parsing. | Mike Lewis, Kenton Lee, Luke Zettlemoyer |
| 2015 | ACL | Scalable Semantic Parsing with Partial Ontologies. | Eunsol Choi, Tom Kwiatkowski, Luke Zettlemoyer |
| 2015 | EMNLP | Broad-coverage CCG Semantic Parsing with AMR. | Yoav Artzi, Kenton Lee, Luke Zettlemoyer |
| 2015 | EMNLP | Question-Answer Driven Semantic Role Labeling: Using Natural Language to Annotate Natural Language. | Luheng He, Mike Lewis, Luke Zettlemoyer |
| 2015 | EMNLP | Mise en Place: Unsupervised Interpretation of Instructional Recipes. | Chlo Kiddon, Ganesa Thandavam Ponnuraj, Luke Zettlemoyer, Yejin Choi |
| 2015 | EMNLP | Event Detection and Factuality Assessment with Non-Expert Supervision. | Kenton Lee, Yoav Artzi, Yejin Choi, Luke Zettlemoyer |
| 2015 | EMNLP | Joint A* CCG Parsing and Semantic Role Labelling. | Mike Lewis, Luheng He, Luke Zettlemoyer |
| 2015 | IJCAI | Personalized Mathematical Word Problem Generation. | Oleksandr Polozov, Eleanor O'Rourke, Adam M. Smith, Luke Zettlemoyer, Sumit Gulwani, Zoran Popovic |
| 2015 | ICRA | Robot Programming by Demonstration with situated spatial language understanding. | Maxwell Forbes, Rajesh P. N. Rao, Luke Zettlemoyer, Maya Cakmak |
| 2014 | AAAI | Learning from Unscripted Deictic Gesture and Language for Human-Robot Interactions. | Cynthia Matuszek, Liefeng Bo, Luke Zettlemoyer, Dieter Fox |
| 2014 | ACL | Learning to Automatically Solve Algebra Word Problems. | Nate Kushman, Luke Zettlemoyer, Regina Barzilay, Yoav Artzi |
| 2014 | ACL | Context-dependent Semantic Parsing for Time Expressions. | Kenton Lee, Yoav Artzi, Jesse Dodge, Luke Zettlemoyer |
| 2014 | EMNLP | Morpho-syntactic Lexical Generalization for CCG Semantic Parsing. | Adrienne X. Wang, Tom Kwiatkowski, Luke Zettlemoyer |
| 2014 | KDD | Open question answering over curated and extracted knowledge bases. | Anthony Fader, Luke Zettlemoyer, Oren Etzioni |
| 2013 | ACL | Semantic Parsing with Combinatory Categorial Grammars. | Yoav Artzi, Nicholas FitzGerald, Luke Zettlemoyer |
| 2013 | ACL | Paraphrase-Driven Learning for Open Question Answering. | Anthony Fader, Luke Zettlemoyer, Oren Etzioni |
| 2013 | ACL | Lightly Supervised Learning of Procedural Dialog Systems. | Svitlana Volkova, Pallavi Choudhury, Chris Quirk, Bill Dolan, Luke Zettlemoyer |
| 2013 | EMNLP | Learning Distributions over Logical Forms for Referring Expression Generation. | Nicholas FitzGerald, Yoav Artzi, Luke Zettlemoyer |
| 2013 | EMNLP | Joint Coreference Resolution and Named-Entity Linking with Multi-Pass Sieves. | Hannaneh Hajishirzi, Leila Zilles, Daniel S. Weld, Luke Zettlemoyer |
| 2013 | EMNLP | Scaling Semantic Parsers with On-the-Fly Ontology Matching. | Tom Kwiatkowski, Eunsol Choi, Yoav Artzi, Luke Zettlemoyer |
| 2013 | EMNLP | Automatic Idiom Identification in Wiktionary. | Grace Muzny, Luke Zettlemoyer |
| 2013 | ICASSP | "Can you give me another word for hyperbaric?": Improving speech translation using targeted clarification questions. | Necip Fazil Ayan, Arindam Mandal, Michael W. Frandsen, Jing Zheng, Peter Blasco, Andreas Kathol, Frdric Bchet, Benot Favre, Alex Marin, Tom Kwiatkowski, Mari Ostendorf, Luke Zettlemoyer, Philipp Salletmayr, Julia Hirschberg, Svetlana Stoyanchev |
| 2013 | NAACL | Learning to Relate Literal and Sentimental Descriptions of Visual Properties. | Mark Yatskar, Svitlana Volkova, Asli Celikyilmaz, Bill Dolan, Luke Zettlemoyer |
| 2012 | ACL | Discriminative Learning for Joint Template Filling. | Einat Minkov, Luke Zettlemoyer |
| 2012 | EACL | A Probabilistic Model of Syntactic and Semantic Acquisition from Child-Directed Utterances and their Meanings. | Tom Kwiatkowski, Sharon Goldwater, Luke Zettlemoyer, Mark Steedman |
| 2012 | ICML | A Joint Model of Language and Perception for Grounded Attribute Learning. | Cynthia Matuszek, Nicholas FitzGerald, Luke Zettlemoyer, Liefeng Bo, Dieter Fox |
| 2012 | UAI | Learning STRIPS Operators from Noisy and Incomplete Observations. | Kira Mouro, Luke Zettlemoyer, Ronald P. A. Petrick, Mark Steedman |
| 2012 | UIST | RevMiner: an extractive interface for navigating reviews on a smartphone. | Jeff Huang, Oren Etzioni, Luke Zettlemoyer, Kevin Clark, Christian Lee |
| 2011 | ACL | Knowledge-Based Weak Supervision for Information Extraction of Overlapping Relations. | Raphael Hoffmann, Congle Zhang, Xiao Ling, Luke Zettlemoyer, Daniel S. Weld |
| 2011 | EMNLP | Bootstrapping Semantic Parsers from Conversations. | Yoav Artzi, Luke Zettlemoyer |
| 2011 | EMNLP | Lexical Generalization in CCG Grammar Induction for Semantic Parsing. | Tom Kwiatkowski, Luke Zettlemoyer, Sharon Goldwater, Mark Steedman |
| 2010 | ACL | Reading between the Lines: Learning to Map High-Level Instructions to Commands. | S. R. K. Branavan, Luke Zettlemoyer, Regina Barzilay |
| 2010 | EMNLP | Inducing Probabilistic CCG Grammars from Logical Form with Higher-Order Unification. | Tom Kwiatkowski, Luke Zettlemoyer, Sharon Goldwater, Mark Steedman |
| 2009 | ACL | Reinforcement Learning for Mapping Instructions to Actions. | S. R. K. Branavan, Harr Chen, Luke Zettlemoyer, Regina Barzilay |
| 2009 | ACL | Learning Context-Dependent Mappings from Sentences to Logical Form. | Luke Zettlemoyer, Michael Collins |
| 2007 | EMNLP | Online Learning of Relaxed CCG Grammars for Parsing to Logical Form. | Luke Zettlemoyer, Michael Collins |
| 2007 | NAACL | Selective Phrase Pair Extraction for Improved Statistical Machine Translation. | Luke Zettlemoyer, Robert Moore |