| 2026 | ACL | Translation or Recitation? Calibrating Evaluation Scores for Machine Translation of Extremely Low-Resource Languages. | Danlu Chen, Ka Sing He, Jiahe Tian, Chenghao Xiao, Zhaofeng Wu, Taylor Berg-Kirkpatrick, Freda Shi |
| 2025 | ICASSP | PDMX: A Large-Scale Public Domain MusicXML Dataset for Symbolic Music Processing. | Phillip Long, Zachary Novack, Taylor Berg-Kirkpatrick, Julian J. McAuley |
| 2025 | ICLR | ClimaQA: An Automated Evaluation Framework for Climate Question Answering Models. | Veeramakali Vignesh Manivannan, Yasaman Jafari, Srikar Eranky, Spencer Ho, Rose Yu, Duncan Watson-Parris, Yian Ma, Leon Bergen, Taylor Berg-Kirkpatrick |
| 2025 | ICLR | Presto! Distilling Steps and Layers for Accelerating Music Generation. | Zachary Novack, Ge Zhu, Jonah Casebeer, Julian J. McAuley, Taylor Berg-Kirkpatrick, Nicholas J. Bryan |
| 2025 | ICLR | TeaserGen: Generating Teasers for Long Documentaries. | Weihan Xu, Paul Pu Liang, Haven Kim, Julian J. McAuley, Taylor Berg-Kirkpatrick, Hao-Wen Dong |
| 2025 | ICML | Adapting While Learning: Grounding LLMs for Scientific Problems with Tool Usage Adaptation. | Bohan Lyu, Yadi Cao, Duncan Watson-Parris, Leon Bergen, Taylor Berg-Kirkpatrick, Rose Yu |
| 2025 | IJCAI | Synthesizing Composite Hierarchical Structure from Symbolic Music Corpora. | Ilana Shapiro, Ruanqianqian (Lisa) Huang, Zachary Novack, Cheng-i Wang, Hao-Wen Dong, Taylor Berg-Kirkpatrick, Shlomo Dubnov, Sorin Lerner |
| 2025 | NAACL | Optimizing Hidden Markov Language Models: An Empirical Study of Reparameterization and Initialization Techniques. | Ivan Lee, Taylor Berg-Kirkpatrick |
| 2024 | ACL | LogogramNLP: Comparing Visual and Textual Representations of Ancient Logographic Writing Systems for NLP. | Danlu Chen, Freda Shi, Aditi Agarwal, Jacobo Myerston, Taylor Berg-Kirkpatrick |
| 2024 | EACL | Smaller Language Models are Better Zero-shot Machine-Generated Text Detectors. | Niloofar Mireshghallah, Justus Mattern, Sicun Gao, Reza Shokri, Taylor Berg-Kirkpatrick |
| 2024 | EMNLP | MORL-Prompt: An Empirical Analysis of Multi-Objective Reinforcement Learning for Discrete Prompt Optimization. | Yasaman Jafari, Dheeraj Mekala, Rose Yu, Taylor Berg-Kirkpatrick |
| 2024 | ICASSP | MusicLDM: Enhancing Novelty in text-to-music Generation Using Beat-Synchronous mixup Strategies. | Ke Chen, Yusong Wu, Haohe Liu, Marianna Nezhurina, Taylor Berg-Kirkpatrick, Shlomo Dubnov |
| 2024 | ICDAR | MONSTERMASH: Multidirectional, Overlapping, Nested, Spiral Text Extraction for Recognition Models of Arabic-Script Handwriting. | Danlu Chen, Jacob Murel, Taimoor Shahid, Xiang Zhang, Jonathan Parkes Allen, Taylor Berg-Kirkpatrick, David A. Smith |
| 2024 | ICDAR | Clustering Running Titles to Understand the Printing of Early Modern Books. | Nikolai Vogler, Kartik Goyal, Samuel V. Lemley, D. J. Schuldt, Christopher N. Warren, Max G'Sell, Taylor Berg-Kirkpatrick |
| 2024 | ICLR | Is attention required for ICL? Exploring the Relationship Between Model Architecture and In-Context Learning Ability. | Ivan Lee, Nan Jiang, Taylor Berg-Kirkpatrick |
| 2024 | ICLR | Alt-Text with Context: Improving Accessibility for Images on Twitter. | Nikita Srivatsan, Sofa Samaniego, Omar Florez, Taylor Berg-Kirkpatrick |
| 2024 | ICML | DITTO: Diffusion Inference-Time T-Optimization for Music Generation. | Zachary Novack, Julian J. McAuley, Taylor Berg-Kirkpatrick, Nicholas J. Bryan |
| 2024 | IJCAI | Retrieval Guided Music Captioning via Multimodal Prefixes. | Nikita Srivatsan, Ke Chen, Shlomo Dubnov, Taylor Berg-Kirkpatrick |
| 2024 | Interspeech | Improving Generalization of Speech Separation in Real-World Scenarios: Strategies in Simulation, Optimization, and Evaluation. | Ke Chen, Jiaqi Su, Taylor Berg-Kirkpatrick, Shlomo Dubnov, Zeyu Jin |
| 2024 | RecSys | MAWI Rec: Leveraging Severe Weather Data in Recommendation. | Brendan Andrew Duncan, Surya Kallumadi, Taylor Berg-Kirkpatrick, Julian J. McAuley |
| 2023 | AAAI | Contrastive Attention Networks for Attribution of Early Modern Print. | Nikolai Vogler, Kartik Goyal, Kishore PV Reddy, Elizaveta Pertseva, Samuel V. Lemley, Christopher N. Warren, Max G'Sell, Taylor Berg-Kirkpatrick |
| 2023 | ACL | Membership Inference Attacks against Language Models via Neighbourhood Comparison. | Justus Mattern, Fatemehsadat Mireshghallah, Zhijing Jin, Bernhard Schlkopf, Mrinmaya Sachan, Taylor Berg-Kirkpatrick |
| 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 | CoNLL | A Block Metropolis-Hastings Sampler for Controllable Energy-based Text Generation. | Jarad Forristal, Fatemehsadat Mireshghallah, Greg Durrett, Taylor Berg-Kirkpatrick |
| 2023 | EMNLP | Simple Temporal Adaptation to Changing Label Sets: Hashtag Prediction via Dense KNN. | Niloofar Mireshghallah, Nikolai Vogler, Junxian He, Omar Florez, Ahmed El-Kishky, Taylor Berg-Kirkpatrick |
| 2023 | ICASSP | Multitrack Music Transformer. | Hao-Wen Dong, Ke Chen, Shlomo Dubnov, Julian J. McAuley, Taylor Berg-Kirkpatrick |
| 2023 | ICASSP | Large-Scale Contrastive Language-Audio Pretraining with Feature Fusion and Keyword-to-Caption Augmentation. | Yusong Wu, Ke Chen, Tianyu Zhang, Yuchen Hui, Taylor Berg-Kirkpatrick, Shlomo Dubnov |
| 2023 | ICDAR | EEBO-Verse: Sifting for Poetry in Large Early Modern Corpora Using Visual Features. | Danlu Chen, Nan Jiang, Taylor Berg-Kirkpatrick |
| 2023 | ICLR | CLIPSep: Learning Text-queried Sound Separation with Noisy Unlabeled Videos. | Hao-Wen Dong, Naoya Takahashi, Yuki Mitsufuji, Julian J. McAuley, Taylor Berg-Kirkpatrick |
| 2023 | WWW | Jointly modeling products and resource pages for task-oriented recommendation. | Brendan Andrew Duncan, Surya Kallumadi, Taylor Berg-Kirkpatrick, Julian J. McAuley |
| 2022 | AAAI | Zero-Shot Audio Source Separation through Query-Based Learning from Weakly-Labeled Data. | Ke Chen, Xingjian Du, Bilei Zhu, Zejun Ma, Taylor Berg-Kirkpatrick, Shlomo Dubnov |
| 2022 | ACL | HOLM: Hallucinating Objects with Language Models for Referring Expression Recognition in Partially-Observed Scenes. | Volkan Cirik, Louis-Philippe Morency, Taylor Berg-Kirkpatrick |
| 2022 | ACL | Achieving Conversational Goals with Unsupervised Post-hoc Knowledge Injection. | Bodhisattwa Prasad Majumder, Harsh Jhamtani, Taylor Berg-Kirkpatrick, Julian J. McAuley |
| 2022 | ACL | Mix and Match: Learning-free Controllable Text Generationusing Energy Language Models. | Fatemehsadat Mireshghallah, Kartik Goyal, Taylor Berg-Kirkpatrick |
| 2022 | EMNLP | HeLo: Learning-Free Lookahead Decoding for Conversation Infilling. | Ivan Lee, Taylor Berg-Kirkpatrick |
| 2022 | EMNLP | Quantifying Privacy Risks of Masked Language Models Using Membership Inference Attacks. | Fatemehsadat Mireshghallah, Kartik Goyal, Archit Uniyal, Taylor Berg-Kirkpatrick, Reza Shokri |
| 2022 | EMNLP | An Empirical Analysis of Memorization in Fine-tuned Autoregressive Language Models. | Fatemehsadat Mireshghallah, Archit Uniyal, Tianhao Wang, David E. Evans, Taylor Berg-Kirkpatrick |
| 2022 | EMNLP | Paraphrastic Representations at Scale. | John Wieting, Kevin Gimpel, Graham Neubig, Taylor Berg-Kirkpatrick |
| 2022 | EMNLP | Prompt Consistency for Zero-Shot Task Generalization. | Chunting Zhou, Junxian He, Xuezhe Ma, Taylor Berg-Kirkpatrick, Graham Neubig |
| 2022 | ICASSP | HTS-AT: A Hierarchical Token-Semantic Audio Transformer for Sound Classification and Detection. | Ke Chen, Xingjian Du, Bilei Zhu, Zejun Ma, Taylor Berg-Kirkpatrick, Shlomo Dubnov |
| 2022 | ICASSP | Tonet: Tone-Octave Network for Singing Melody Extraction from Polyphonic Music. | Ke Chen, Shuai Yu, Cheng-i Wang, Wei Li, Taylor Berg-Kirkpatrick, Shlomo Dubnov |
| 2022 | ICASSP | Deep Performer: Score-to-Audio Music Performance Synthesis. | Hao-Wen Dong, Cong Zhou, Taylor Berg-Kirkpatrick, Julian J. McAuley |
| 2022 | ICLR | Exposing the Implicit Energy Networks behind Masked Language Models via Metropolis--Hastings. | Kartik Goyal, Chris Dyer, Taylor Berg-Kirkpatrick |
| 2022 | ICLR | Towards a Unified View of Parameter-Efficient Transfer Learning. | Junxian He, Chunting Zhou, Xuezhe Ma, Taylor Berg-Kirkpatrick, Graham Neubig |
| 2022 | NAACL | UserIdentifier: Implicit User Representations for Simple and Effective Personalized Sentiment Analysis. | Fatemehsadat Mireshghallah, Vaishnavi Shrivastava, Milad Shokouhi, Taylor Berg-Kirkpatrick, Robert Sim, Dimitrios Dimitriadis |
| 2022 | NAACL | Masked Measurement Prediction: Learning to Jointly Predict Quantities and Units from Textual Context. | Daniel Spokoyny, Ivan Lee, Zhao Jin, Taylor Berg-Kirkpatrick |
| 2022 | NAACL | Lacuna Reconstruction: Self-Supervised Pre-Training for Low-Resource Historical Document Transcription. | Nikolai Vogler, Jonathan Parkes Allen, Matthew Thomas Miller, Taylor Berg-Kirkpatrick |
| 2021 | ACL | Improving Automated Evaluation of Open Domain Dialog via Diverse Reference Augmentation. | Varun Gangal, Harsh Jhamtani, Eduard H. Hovy, Taylor Berg-Kirkpatrick |
| 2021 | ACL | Unsupervised Enrichment of Persona-grounded Dialog with Background Stories. | Bodhisattwa Prasad Majumder, Taylor Berg-Kirkpatrick, Julian J. McAuley, Harsh Jhamtani |
| 2021 | EMNLP | Efficient Nearest Neighbor Language Models. | Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick |
| 2021 | EMNLP | Truth-Conditional Captions for Time Series Data. | Harsh Jhamtani, Taylor Berg-Kirkpatrick |
| 2021 | EMNLP | Investigating Robustness of Dialog Models to Popular Figurative Language Constructs. | Harsh Jhamtani, Varun Gangal, Eduard H. Hovy, Taylor Berg-Kirkpatrick |
| 2021 | EMNLP | Style Pooling: Automatic Text Style Obfuscation for Improved Classification Fairness. | Fatemehsadat Mireshghallah, Taylor Berg-Kirkpatrick |
| 2021 | EMNLP | Scalable Font Reconstruction with Dual Latent Manifolds. | Nikita Srivatsan, Si Wu, Jonathan T. Barron, Taylor Berg-Kirkpatrick |
| 2021 | ICDAR | Neural Representation Learning for Scribal Hands of Linear B. | Nikita Srivatsan, Jason Vega, Christina Skelton, Taylor Berg-Kirkpatrick |
| 2021 | NAACL | Privacy Regularization: Joint Privacy-Utility Optimization in LanguageModels. | Fatemehsadat Mireshghallah, Huseyin A. Inan, Marcello Hasegawa, Victor Rhle, Taylor Berg-Kirkpatrick, Robert Sim |
| 2020 | ACL | Refer360$^\circ$: A Referring Expression Recognition Dataset in 360$^\circ$ Images. | Volkan Cirik, Taylor Berg-Kirkpatrick, Louis-Philippe Morency |
| 2020 | ACL | A Probabilistic Generative Model for Typographical Analysis of Early Modern Printing. | Kartik Goyal, Chris Dyer, Christopher N. Warren, Max G'Sell, Taylor Berg-Kirkpatrick |
| 2020 | ACL | Phonetic and Visual Priors for Decipherment of Informal Romanization. | Maria Ryskina, Matthew R. Gormley, Taylor Berg-Kirkpatrick |
| 2020 | ECIR | Domain Adaptation via Context Prediction for Engineering Diagram Search. | Harsh Jhamtani, Taylor Berg-Kirkpatrick |
| 2020 | EMNLP | An Empirical Investigation of Contextualized Number Prediction. | Taylor Berg-Kirkpatrick, Daniel Spokoyny |
| 2020 | EMNLP | Narrative Text Generation with a Latent Discrete Plan. | Harsh Jhamtani, Taylor Berg-Kirkpatrick |
| 2020 | EMNLP | Like hiking? You probably enjoy nature: Persona-grounded Dialog with Commonsense Expansions. | Bodhisattwa Prasad Majumder, Harsh Jhamtani, Taylor Berg-Kirkpatrick, Julian J. McAuley |
| 2020 | EMNLP | A Bilingual Generative Transformer for Semantic Sentence Embedding. | John Wieting, Graham Neubig, Taylor Berg-Kirkpatrick |
| 2020 | ICLR | A Probabilistic Formulation of Unsupervised Text Style Transfer. | Junxian He, Xinyi Wang, Graham Neubig, Taylor Berg-Kirkpatrick |
| 2019 | ACL | Cross-Lingual Syntactic Transfer through Unsupervised Adaptation of Invertible Projections. | Junxian He, Zhisong Zhang, Taylor Berg-Kirkpatrick, 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 | EMNLP | Learning Rhyming Constraints using Structured Adversaries. | Harsh Jhamtani, Sanket Vaibhav Mehta, Jaime G. Carbonell, Taylor Berg-Kirkpatrick |
| 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 | A Deep Factorization of Style and Structure in Fonts. | Nikita Srivatsan, Jonathan T. Barron, Dan Klein, Taylor Berg-Kirkpatrick |
| 2019 | ICLR | Lagging Inference Networks and Posterior Collapse in Variational Autoencoders. | Junxian He, Daniel Spokoyny, Graham Neubig, Taylor Berg-Kirkpatrick |
| 2019 | NAACL | An Empirical Investigation of Global and Local Normalization for Recurrent Neural Sequence Models Using a Continuous Relaxation to Beam Search. | Kartik Goyal, Chris Dyer, Taylor Berg-Kirkpatrick |
| 2018 | AAAI | Using Syntax to Ground Referring Expressions in Natural Images. | Volkan Cirik, Taylor Berg-Kirkpatrick, Louis-Philippe Morency |
| 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 | AAAI | SPINE: SParse Interpretable Neural Embeddings. | Anant Subramanian, Danish Pruthi, Harsh Jhamtani, Taylor Berg-Kirkpatrick, 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 | EMNLP | Unsupervised Learning of Syntactic Structure with Invertible Neural Projections. | Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick |
| 2018 | EMNLP | Learning to Describe Differences Between Pairs of Similar Images. | Harsh Jhamtani, Taylor Berg-Kirkpatrick |
| 2018 | EMNLP | Modeling Online Discourse with Coupled Distributed Topics. | Nikita Srivatsan, Zachary Wojtowicz, Taylor Berg-Kirkpatrick |
| 2018 | NAACL | Visual Referring Expression Recognition: What Do Systems Actually Learn? | Volkan Cirik, Louis-Philippe Morency, Taylor Berg-Kirkpatrick |
| 2017 | ACL | Differentiable Scheduled Sampling for Credit Assignment. | Kartik Goyal, Chris Dyer, Taylor Berg-Kirkpatrick |
| 2017 | ACL | Automatic Compositor Attribution in the First Folio of Shakespeare. | Maria Ryskina, Hannah Alpert-Abrams, Dan Garrette, Taylor Berg-Kirkpatrick |
| 2017 | EMNLP | Identifying Products in Online Cybercrime Marketplaces: A Dataset for Fine-grained Domain Adaptation. | Greg Durrett, Jonathan K. Kummerfeld, Taylor Berg-Kirkpatrick, Rebecca S. Portnoff, Sadia Afroz, Damon McCoy, Kirill Levchenko, Vern Paxson |
| 2017 | ICML | Improved Variational Autoencoders for Text Modeling using Dilated Convolutions. | Zichao Yang, Zhiting Hu, Ruslan Salakhutdinov, Taylor Berg-Kirkpatrick |
| 2017 | KDD | Efficient Correlated Topic Modeling with Topic Embedding. | Junxian He, Zhiting Hu, Taylor Berg-Kirkpatrick, Ying Huang, Eric P. Xing |
| 2017 | WWW | Tools for Automated Analysis of Cybercriminal Markets. | Rebecca S. Portnoff, Sadia Afroz, Greg Durrett, Jonathan K. Kummerfeld, Taylor Berg-Kirkpatrick, Damon McCoy, Kirill Levchenko, Vern Paxson |
| 2016 | ACL | Learning-Based Single-Document Summarization with Compression and Anaphoricity Constraints. | Greg Durrett, Taylor Berg-Kirkpatrick, Dan Klein |
| 2015 | EMNLP | An Empirical Analysis of Optimization for Max-Margin NLP. | Jonathan K. Kummerfeld, Taylor Berg-Kirkpatrick, Dan Klein |
| 2015 | NAACL | GPU-Friendly Local Regression for Voice Conversion. | Taylor Berg-Kirkpatrick, Dan Klein |
| 2015 | NAACL | Unsupervised Code-Switching for Multilingual Historical Document Transcription. | Dan Garrette, Hannah Alpert-Abrams, Taylor Berg-Kirkpatrick, Dan Klein |
| 2014 | ACL | Improved Typesetting Models for Historical OCR. | Taylor Berg-Kirkpatrick, Dan Klein |
| 2014 | ACL | Sparser, Better, Faster GPU Parsing. | David Hall, Taylor Berg-Kirkpatrick, Dan Klein |
| 2013 | ACL | Unsupervised Transcription of Historical Documents. | Taylor Berg-Kirkpatrick, Greg Durrett, Dan Klein |
| 2013 | EMNLP | Decipherment with a Million Random Restarts. | Taylor Berg-Kirkpatrick, Dan Klein |
| 2013 | NAACL | Learning Whom to Trust with MACE. | Dirk Hovy, Taylor Berg-Kirkpatrick, Ashish Vaswani, Eduard H. Hovy |
| 2012 | EMNLP | An Empirical Investigation of Statistical Significance in NLP. | Taylor Berg-Kirkpatrick, David Burkett, Dan Klein |
| 2011 | ACL | Jointly Learning to Extract and Compress. | Taylor Berg-Kirkpatrick, Dan Gillick, Dan Klein |
| 2011 | EMNLP | Simple Effective Decipherment via Combinatorial Optimization. | Taylor Berg-Kirkpatrick, Dan Klein |
| 2010 | ACL | Phylogenetic Grammar Induction. | Taylor Berg-Kirkpatrick, Dan Klein |
| 2010 | NAACL | Painless Unsupervised Learning with Features. | Taylor Berg-Kirkpatrick, Alexandre Bouchard-Ct, John DeNero, Dan Klein |
| 2008 | ACL | Learning Bilingual Lexicons from Monolingual Corpora. | Aria Haghighi, Percy Liang, Taylor Berg-Kirkpatrick, Dan Klein |