Learning Bilingual Lexicons from Monolingual Corpora. - Aria Haghighi; Percy Liang; Taylor Berg-Kirkpatrick; Dan Klein 001 (ACL, 2008)

Phylogenetic Grammar Induction. - Taylor Berg-Kirkpatrick; Dan Klein 001 (ACL, 2010)

Painless Unsupervised Learning with Features. - Taylor Berg-Kirkpatrick; Alexandre Bouchard-Côté; John DeNero; Dan Klein 001 (HLT-NAACL, 2010)

Jointly Learning to Extract and Compress. - Taylor Berg-Kirkpatrick; Dan Gillick; Dan Klein 001 (ACL, 2011)

Simple Effective Decipherment via Combinatorial Optimization. - Taylor Berg-Kirkpatrick; Dan Klein 001 (EMNLP, 2011)

An Empirical Investigation of Statistical Significance in NLP. - Taylor Berg-Kirkpatrick; David Burkett; Dan Klein 001 (EMNLP-CoNLL, 2012)

Unsupervised Transcription of Historical Documents. - Taylor Berg-Kirkpatrick; Greg Durrett; Dan Klein 001 (ACL (1), 2013)

Decipherment with a Million Random Restarts. - Taylor Berg-Kirkpatrick; Dan Klein 001 (EMNLP, 2013)

Learning Whom to Trust with MACE. - Dirk Hovy; Taylor Berg-Kirkpatrick; Ashish Vaswani; Eduard H. Hovy (HLT-NAACL, 2013)

Improved Typesetting Models for Historical OCR. - Taylor Berg-Kirkpatrick; Dan Klein 001 (ACL (2), 2014)

Sparser, Better, Faster GPU Parsing. - David Hall 006; Taylor Berg-Kirkpatrick; Dan Klein 001 (ACL (1), 2014)

Unsupervised Transcription of Piano Music. - Taylor Berg-Kirkpatrick; Jacob Andreas; Dan Klein 001 (NIPS, 2014)

An Empirical Analysis of Optimization for Max-Margin NLP. - Jonathan K. Kummerfeld; Taylor Berg-Kirkpatrick; Dan Klein 001 (EMNLP, 2015)

GPU-Friendly Local Regression for Voice Conversion. - Taylor Berg-Kirkpatrick; Dan Klein 001 (HLT-NAACL, 2015)

Unsupervised Code-Switching for Multilingual Historical Document Transcription. - Dan Garrette; Hannah Alpert-Abrams; Taylor Berg-Kirkpatrick; Dan Klein 001 (HLT-NAACL, 2015)

Learning-Based Single-Document Summarization with Compression and Anaphoricity Constraints. - Greg Durrett; Taylor Berg-Kirkpatrick; Dan Klein 001 (ACL (1), 2016)

Differentiable Scheduled Sampling for Credit Assignment. - Kartik Goyal; Chris Dyer; Taylor Berg-Kirkpatrick (ACL (2), 2017)

Automatic Compositor Attribution in the First Folio of Shakespeare. - Maria Ryskina; Hannah Alpert-Abrams; Dan Garrette; Taylor Berg-Kirkpatrick (ACL (2), 2017)

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 001; Damon McCoy; Kirill Levchenko; Vern Paxson (EMNLP, 2017)

Improved Variational Autoencoders for Text Modeling using Dilated Convolutions. - Zichao Yang; Zhiting Hu; Ruslan Salakhutdinov; Taylor Berg-Kirkpatrick (ICML, 2017)

Efficient Correlated Topic Modeling with Topic Embedding. - Junxian He; Zhiting Hu; Taylor Berg-Kirkpatrick; Ying Huang; Eric P. Xing (KDD, 2017)

Tools for Automated Analysis of Cybercriminal Markets. - Rebecca S. Portnoff; Sadia Afroz 001; Greg Durrett; Jonathan K. Kummerfeld; Taylor Berg-Kirkpatrick; Damon McCoy; Kirill Levchenko; Vern Paxson (WWW, 2017)

Using Syntax to Ground Referring Expressions in Natural Images. - Volkan Cirik; Taylor Berg-Kirkpatrick; Louis-Philippe Morency (AAAI, 2018)

A Continuous Relaxation of Beam Search for End-to-End Training of Neural Sequence Models. - Kartik Goyal; Graham Neubig; Chris Dyer; Taylor Berg-Kirkpatrick (AAAI, 2018)

SPINE: SParse Interpretable Neural Embeddings. - Anant Subramanian; Danish Pruthi; Harsh Jhamtani; Taylor Berg-Kirkpatrick; Eduard H. Hovy (AAAI, 2018)

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 (ACL (1), 2018)

Unsupervised Learning of Syntactic Structure with Invertible Neural Projections. - Junxian He; Graham Neubig; Taylor Berg-Kirkpatrick (EMNLP, 2018)

Learning to Describe Differences Between Pairs of Similar Images. - Harsh Jhamtani; Taylor Berg-Kirkpatrick (EMNLP, 2018)

Modeling Online Discourse with Coupled Distributed Topics. - Nikita Srivatsan; Zachary Wojtowicz; Taylor Berg-Kirkpatrick (EMNLP, 2018)

Visual Referring Expression Recognition: What Do Systems Actually Learn? - Volkan Cirik; Louis-Philippe Morency; Taylor Berg-Kirkpatrick (NAACL-HLT (2), 2018)

Speaker-Follower Models for Vision-and-Language Navigation. - Daniel Fried; Ronghang Hu; Volkan Cirik; Anna Rohrbach; Jacob Andreas; Louis-Philippe Morency; Taylor Berg-Kirkpatrick; Kate Saenko; Dan Klein 001; Trevor Darrell (NeurIPS, 2018)

Unsupervised Text Style Transfer using Language Models as Discriminators. - Zichao Yang; Zhiting Hu; Chris Dyer; Eric P. Xing; Taylor Berg-Kirkpatrick (NeurIPS, 2018)

OPERA: Operations-oriented Probabilistic Extraction, Reasoning, and Analysis. - Eduard H. Hovy; Taylor Berg-Kirkpatrick; Jaime G. Carbonell; Hans Chalupsky; Anatole Gershman; Alexander G. Hauptmann; Florian Metze; Teruko Mitamura; Aditi Chaudhary; Xianyang Chen; Bernie Po-Yao Huang; Hector Zhengzhong Liu; et al. (TAC, 2018)

Cross-Lingual Syntactic Transfer through Unsupervised Adaptation of Invertible Projections. - Junxian He; Zhisong Zhang; Taylor Berg-Kirkpatrick; Graham Neubig (ACL (1), 2019)

Beyond BLEU: Training Neural Machine Translation with Semantic Similarity. - John Wieting; Taylor Berg-Kirkpatrick; Kevin Gimpel; Graham Neubig (ACL (1), 2019)

Simple and Effective Paraphrastic Similarity from Parallel Translations. - John Wieting; Kevin Gimpel; Graham Neubig; Taylor Berg-Kirkpatrick (ACL (1), 2019)

Learning Rhyming Constraints using Structured Adversaries. - Harsh Jhamtani; Sanket Vaibhav Mehta; Jaime G. Carbonell; Taylor Berg-Kirkpatrick (EMNLP/IJCNLP (1), 2019)

A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text. - Bohan Li; Junxian He; Graham Neubig; Taylor Berg-Kirkpatrick; Yiming Yang (EMNLP/IJCNLP (1), 2019)

A Deep Factorization of Style and Structure in Fonts. - Nikita Srivatsan; Jonathan T. Barron; Dan Klein 001; Taylor Berg-Kirkpatrick (EMNLP/IJCNLP (1), 2019)

Lagging Inference Networks and Posterior Collapse in Variational Autoencoders. - Junxian He; Daniel Spokoyny; Graham Neubig; Taylor Berg-Kirkpatrick (ICLR (Poster), 2019)

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 (NAACL-HLT (1), 2019)

Refer360$^ circ$: A Referring Expression Recognition Dataset in 360$^ circ$ Images. - Volkan Cirik; Taylor Berg-Kirkpatrick; Louis-Philippe Morency (ACL, 2020)

A Probabilistic Generative Model for Typographical Analysis of Early Modern Printing. - Kartik Goyal; Chris Dyer; Christopher N. Warren; Max G'Sell; Taylor Berg-Kirkpatrick (ACL, 2020)

Phonetic and Visual Priors for Decipherment of Informal Romanization. - Maria Ryskina; Matthew R. Gormley; Taylor Berg-Kirkpatrick (ACL, 2020)

Domain Adaptation via Context Prediction for Engineering Diagram Search. - Harsh Jhamtani; Taylor Berg-Kirkpatrick (ECIR (2), 2020)

An Empirical Investigation of Contextualized Number Prediction. - Taylor Berg-Kirkpatrick; Daniel Spokoyny (EMNLP (1), 2020)

Narrative Text Generation with a Latent Discrete Plan. - Harsh Jhamtani; Taylor Berg-Kirkpatrick (EMNLP (Findings), 2020)

Like hiking? You probably enjoy nature: Persona-grounded Dialog with Commonsense Expansions. - Bodhisattwa Prasad Majumder; Harsh Jhamtani; Taylor Berg-Kirkpatrick; Julian J. McAuley (EMNLP (1), 2020)

A Bilingual Generative Transformer for Semantic Sentence Embedding. - John Wieting; Graham Neubig; Taylor Berg-Kirkpatrick (EMNLP (1), 2020)

A Probabilistic Formulation of Unsupervised Text Style Transfer. - Junxian He; Xinyi Wang 001; Graham Neubig; Taylor Berg-Kirkpatrick (ICLR, 2020)

Music SketchNet: Controllable Music Generation via Factorized Representations of Pitch and Rhythm. - Ke Chen 021; Cheng-i Wang; Taylor Berg-Kirkpatrick; Shlomo Dubnov (ISMIR, 2020)

MusPy: A Toolkit for Symbolic Music Generation. - Hao-Wen Dong; Ke Chen 021; Julian J. McAuley; Taylor Berg-Kirkpatrick (ISMIR, 2020)

Learning Sparse Prototypes for Text Generation. - Junxian He; Taylor Berg-Kirkpatrick; Graham Neubig (NeurIPS, 2020)

Where New Words Are Born: Distributional Semantic Analysis of Neologisms and Their Semantic Neighborhoods. - Maria Ryskina; Ella Rabinovich; Taylor Berg-Kirkpatrick; David R. Mortensen; Yulia Tsvetkov (CoRR, 2020)

Improving Automated Evaluation of Open Domain Dialog via Diverse Reference Augmentation. - Varun Gangal; Harsh Jhamtani; Eduard H. Hovy; Taylor Berg-Kirkpatrick (ACL/IJCNLP (Findings), 2021)

Unsupervised Enrichment of Persona-grounded Dialog with Background Stories. - Bodhisattwa Prasad Majumder; Taylor Berg-Kirkpatrick; Julian J. McAuley; Harsh Jhamtani (ACL/IJCNLP (2), 2021)

Efficient Nearest Neighbor Language Models. - Junxian He; Graham Neubig; Taylor Berg-Kirkpatrick (EMNLP (1), 2021)

Truth-Conditional Captions for Time Series Data. - Harsh Jhamtani; Taylor Berg-Kirkpatrick (EMNLP (1), 2021)

Investigating Robustness of Dialog Models to Popular Figurative Language Constructs. - Harsh Jhamtani; Varun Gangal; Eduard H. Hovy; Taylor Berg-Kirkpatrick (EMNLP (1), 2021)

Style Pooling: Automatic Text Style Obfuscation for Improved Classification Fairness. - Fatemehsadat Mireshghallah; Taylor Berg-Kirkpatrick (EMNLP (1), 2021)

Scalable Font Reconstruction with Dual Latent Manifolds. - Nikita Srivatsan; Si Wu; Jonathan T. Barron; Taylor Berg-Kirkpatrick (EMNLP (1), 2021)

Neural Representation Learning for Scribal Hands of Linear B. - Nikita Srivatsan; Jason Vega; Christina Skelton; Taylor Berg-Kirkpatrick (ICDAR Workshops (2), 2021)

Towards Automatic Instrumentation by Learning to Separate Parts in Symbolic Multitrack Music. - Hao-Wen Dong; Chris Donahue; Taylor Berg-Kirkpatrick; Julian J. McAuley (ISMIR, 2021)

An Empirical Evaluation of End-to-End Polyphonic Optical Music Recognition. - Sachinda Edirisooriya; Hao-Wen Dong; Julian J. McAuley; Taylor Berg-Kirkpatrick (ISMIR, 2021)

Privacy Regularization: Joint Privacy-Utility Optimization in LanguageModels. - Fatemehsadat Mireshghallah; Huseyin A. Inan; Marcello Hasegawa; Victor Rühle; Taylor Berg-Kirkpatrick; Robert Sim (NAACL-HLT, 2021)

Privacy Regularization: Joint Privacy-Utility Optimization in Language Models. - Fatemehsadat Mireshghallah; Huseyin A. Inan; Marcello Hasegawa; Victor Rühle; Taylor Berg-Kirkpatrick; Robert Sim (CoRR, 2021)

An Empirical Study of Extrapolation in Text Generation with Scalar Control. - Aashi Jain; Taylor Berg-Kirkpatrick (CoRR, 2021)

Comparative Error Analysis in Neural and Finite-state Models for Unsupervised Character-level Transduction. - Maria Ryskina; Eduard H. Hovy; Taylor Berg-Kirkpatrick; Matthew R. Gormley (CoRR, 2021)

Truth-Conditional Captioning of Time Series Data. - Harsh Jhamtani; Taylor Berg-Kirkpatrick (CoRR, 2021)

Bach Violin Dataset. - Hao-Wen Dong; Cong Zhou; Taylor Berg-Kirkpatrick; Julian J. McAuley (Zenodo, 2021)

Zero-Shot Audio Source Separation through Query-Based Learning from Weakly-Labeled Data. - Ke Chen 021; Xingjian Du; Bilei Zhu; Zejun Ma; Taylor Berg-Kirkpatrick; Shlomo Dubnov (AAAI, 2022)

HOLM: Hallucinating Objects with Language Models for Referring Expression Recognition in Partially-Observed Scenes. - Volkan Cirik; Louis-Philippe Morency; Taylor Berg-Kirkpatrick (ACL (1), 2022)

Achieving Conversational Goals with Unsupervised Post-hoc Knowledge Injection. - Bodhisattwa Prasad Majumder; Harsh Jhamtani; Taylor Berg-Kirkpatrick; Julian J. McAuley (ACL (1), 2022)

Mix and Match: Learning-free Controllable Text Generationusing Energy Language Models. - Fatemehsadat Mireshghallah; Kartik Goyal; Taylor Berg-Kirkpatrick (ACL (1), 2022)

HeLo: Learning-Free Lookahead Decoding for Conversation Infilling. - Ivan Lee; Taylor Berg-Kirkpatrick (EMNLP (Findings), 2022)

Quantifying Privacy Risks of Masked Language Models Using Membership Inference Attacks. - Fatemehsadat Mireshghallah; Kartik Goyal; Archit Uniyal; Taylor Berg-Kirkpatrick; Reza Shokri (EMNLP, 2022)

An Empirical Analysis of Memorization in Fine-tuned Autoregressive Language Models. - Fatemehsadat Mireshghallah; Archit Uniyal; Tianhao Wang 001; David E. Evans 001; Taylor Berg-Kirkpatrick (EMNLP, 2022)

Paraphrastic Representations at Scale. - John Wieting; Kevin Gimpel; Graham Neubig; Taylor Berg-Kirkpatrick (EMNLP (Demos), 2022)

Prompt Consistency for Zero-Shot Task Generalization. - Chunting Zhou; Junxian He; Xuezhe Ma; Taylor Berg-Kirkpatrick; Graham Neubig (EMNLP (Findings), 2022)

HTS-AT: A Hierarchical Token-Semantic Audio Transformer for Sound Classification and Detection. - Ke Chen 021; Xingjian Du; Bilei Zhu; Zejun Ma; Taylor Berg-Kirkpatrick; Shlomo Dubnov (ICASSP, 2022)

Tonet: Tone-Octave Network for Singing Melody Extraction from Polyphonic Music. - Ke Chen 021; Shuai Yu 002; Cheng-i Wang; Wei Li 012; Taylor Berg-Kirkpatrick; Shlomo Dubnov (ICASSP, 2022)

Deep Performer: Score-to-Audio Music Performance Synthesis. - Hao-Wen Dong; Cong Zhou; Taylor Berg-Kirkpatrick; Julian J. McAuley (ICASSP, 2022)

Exposing the Implicit Energy Networks behind Masked Language Models via Metropolis–Hastings. - Kartik Goyal; Chris Dyer; Taylor Berg-Kirkpatrick (ICLR, 2022)

Towards a Unified View of Parameter-Efficient Transfer Learning. - Junxian He; Chunting Zhou; Xuezhe Ma; Taylor Berg-Kirkpatrick; Graham Neubig (ICLR, 2022)

Improving Choral Music Separation through Expressive Synthesized Data from Sampled Instruments. - Ke Chen 021; Hao-Wen Dong; Yi Luo; Julian J. McAuley; Taylor Berg-Kirkpatrick; Miller S. Puckette; Shlomo Dubnov (ISMIR, 2022)

Checklist Models for Improved Output Fluency in Piano Fingering Prediction. - Nikita Srivatsan; Taylor Berg-Kirkpatrick (ISMIR, 2022)

UserIdentifier: Implicit User Representations for Simple and Effective Personalized Sentiment Analysis. - Fatemehsadat Mireshghallah; Vaishnavi Shrivastava; Milad Shokouhi; Taylor Berg-Kirkpatrick; Robert Sim; Dimitrios Dimitriadis (NAACL-HLT, 2022)

Masked Measurement Prediction: Learning to Jointly Predict Quantities and Units from Textual Context. - Daniel Spokoyny; Ivan Lee; Zhao Jin; Taylor Berg-Kirkpatrick (NAACL-HLT (Findings), 2022)

Lacuna Reconstruction: Self-Supervised Pre-Training for Low-Resource Historical Document Transcription. - Nikolai Vogler; Jonathan Parkes Allen; Matthew Thomas Miller; Taylor Berg-Kirkpatrick (NAACL-HLT (Findings), 2022)

An Unsupervised Masking Objective for Abstractive Multi-Document News Summarization. - Nikolai Vogler; Songlin Li; Yujie Xu; Yujian Mi; Taylor Berg-Kirkpatrick (CoRR, 2022)

Mix and Match: Learning-free Controllable Text Generation using Energy Language Models. - Fatemehsadat Mireshghallah; Kartik Goyal; Taylor Berg-Kirkpatrick (CoRR, 2022)

Memorization in NLP Fine-tuning Methods. - Fatemehsadat Mireshghallah; Archit Uniyal; Tianhao Wang 001; David Evans 001; Taylor Berg-Kirkpatrick (CoRR, 2022)

Multitrack Music Transformer: Learning Long-Term Dependencies in Music with Diverse Instruments. - Hao-Wen Dong; Ke Chen 021; Shlomo Dubnov; Julian J. McAuley; Taylor Berg-Kirkpatrick (CoRR, 2022)

Non-Parametric Temporal Adaptation for Social Media Topic Classification. - Fatemehsadat Mireshghallah; Nikolai Vogler; Junxian He; Omar Florez; Ahmed El-Kishky; Taylor Berg-Kirkpatrick (CoRR, 2022)

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 (AAAI, 2023)

Membership Inference Attacks against Language Models via Neighbourhood Comparison. - Justus Mattern; Fatemehsadat Mireshghallah; Zhijing Jin 001; Bernhard Schölkopf; Mrinmaya Sachan; Taylor Berg-Kirkpatrick (ACL (Findings), 2023)

Beyond Contrastive Learning: A Variational Generative Model for Multilingual Retrieval. - John Wieting; Jonathan H. Clark; William W. Cohen; Graham Neubig; Taylor Berg-Kirkpatrick (ACL (1), 2023)

A Block Metropolis-Hastings Sampler for Controllable Energy-based Text Generation. - Jarad Forristal; Fatemehsadat Mireshghallah; Greg Durrett; Taylor Berg-Kirkpatrick (CoNLL, 2023)

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 (EMNLP, 2023)

Multitrack Music Transformer. - Hao-Wen Dong; Ke Chen 021; Shlomo Dubnov; Julian J. McAuley; Taylor Berg-Kirkpatrick (ICASSP, 2023)

Large-Scale Contrastive Language-Audio Pretraining with Feature Fusion and Keyword-to-Caption Augmentation. - Yusong Wu; Ke Chen 021; Tianyu Zhang; Yuchen Hui; Taylor Berg-Kirkpatrick; Shlomo Dubnov (ICASSP, 2023)

EEBO-Verse: Sifting for Poetry in Large Early Modern Corpora Using Visual Features. - Danlu Chen; Nan Jiang; Taylor Berg-Kirkpatrick (ICDAR (5), 2023)

CLIPSep: Learning Text-queried Sound Separation with Noisy Unlabeled Videos. - Hao-Wen Dong; Naoya Takahashi; Yuki Mitsufuji; Julian J. McAuley; Taylor Berg-Kirkpatrick (ICLR, 2023)

Towards Improving Harmonic Sensitivity and Prediction Stability for Singing Melody Extraction. - Keren Shao; Ke Chen 021; Taylor Berg-Kirkpatrick; Shlomo Dubnov (ISMIR, 2023)

CLIPSonic: Text-to-Audio Synthesis with Unlabeled Videos and Pretrained Language-Vision Models. - Hao-Wen Dong; Xiaoyu Liu 003; Jordi Pons; Gautam Bhattacharya; Santiago Pascual; Joan Serrà; Taylor Berg-Kirkpatrick; Julian J. McAuley (WASPAA, 2023)

Jointly modeling products and resource pages for task-oriented recommendation. - Brendan Andrew Duncan; Surya Kallumadi; Taylor Berg-Kirkpatrick; Julian J. McAuley (WWW (Companion Volume), 2023)

ClimaBench: A Benchmark Dataset For Climate Change Text Understanding in English. - Tanmay Laud; Daniel Spokoyny; Tom Corringham; Taylor Berg-Kirkpatrick (CoRR, 2023)

Universal Source Separation with Weakly Labelled Data. - Qiuqiang Kong; Ke Chen 021; Haohe Liu; Xingjian Du; Taylor Berg-Kirkpatrick; Shlomo Dubnov; Mark D. Plumbley (CoRR, 2023)

Smaller Language Models are Better Black-box Machine-Generated Text Detectors. - Fatemehsadat Mireshghallah; Justus Mattern; Sicun Gao; Reza Shokri; Taylor Berg-Kirkpatrick (CoRR, 2023)

Text Conditional Alt-Text Generation for Twitter Images. - Nikita Srivatsan; Sofía Samaniego; Omar Florez; Taylor Berg-Kirkpatrick (CoRR, 2023)

Misusing Tools in Large Language Models With Visual Adversarial Examples. - Xiaohan Fu; Zihan Wang 001; Shuheng Li; Rajesh K. Gupta 001; Niloofar Mireshghallah; Taylor Berg-Kirkpatrick; Earlence Fernandes (CoRR, 2023)

Exploring the Relationship Between Model Architecture and In-Context Learning Ability. - Ivan Lee; Nan Jiang; Taylor Berg-Kirkpatrick (CoRR, 2023)

Unsupervised Lead Sheet Generation via Semantic Compression. - Zachary Novack; Nikita Srivatsan; Taylor Berg-Kirkpatrick; Julian J. McAuley (CoRR, 2023)

URL-BERT: Training Webpage Representations via Social Media Engagements. - Ayesha Qamar; Chetan Verma; Ahmed El-Kishky; Sumit Binnani; Sneha Mehta; Taylor Berg-Kirkpatrick (CoRR, 2023)

LogogramNLP: Comparing Visual and Textual Representations of Ancient Logographic Writing Systems for NLP. - Danlu Chen; Freda Shi; Aditi Agarwal; Jacobo Myerston; Taylor Berg-Kirkpatrick (ACL (1), 2024)

Smaller Language Models are Better Zero-shot Machine-Generated Text Detectors. - Niloofar Mireshghallah; Justus Mattern; Sicun Gao; Reza Shokri; Taylor Berg-Kirkpatrick (EACL (2), 2024)

MORL-Prompt: An Empirical Analysis of Multi-Objective Reinforcement Learning for Discrete Prompt Optimization. - Yasaman Jafari; Dheeraj Mekala; Rose Yu; Taylor Berg-Kirkpatrick (EMNLP (Findings), 2024)

MusicLDM: Enhancing Novelty in text-to-music Generation Using Beat-Synchronous mixup Strategies. - Ke Chen 021; Yusong Wu; Haohe Liu; Marianna Nezhurina; Taylor Berg-Kirkpatrick; Shlomo Dubnov (ICASSP, 2024)

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 (ICDAR (Workshops 2), 2024)

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 (ICDAR (3), 2024)

Is attention required for ICL? Exploring the Relationship Between Model Architecture and In-Context Learning Ability. - Ivan Lee; Nan Jiang; Taylor Berg-Kirkpatrick (ICLR, 2024)

Alt-Text with Context: Improving Accessibility for Images on Twitter. - Nikita Srivatsan; Sofía Samaniego; Omar Florez; Taylor Berg-Kirkpatrick (ICLR, 2024)

DITTO: Diffusion Inference-Time T-Optimization for Music Generation. - Zachary Novack; Julian J. McAuley; Taylor Berg-Kirkpatrick; Nicholas J. Bryan (ICML, 2024)

Retrieval Guided Music Captioning via Multimodal Prefixes. - Nikita Srivatsan; Ke Chen 021; Shlomo Dubnov; Taylor Berg-Kirkpatrick (IJCAI, 2024)

Improving Generalization of Speech Separation in Real-World Scenarios: Strategies in Simulation, Optimization, and Evaluation. - Ke Chen 021; Jiaqi Su; Taylor Berg-Kirkpatrick; Shlomo Dubnov; Zeyu Jin (INTERSPEECH, 2024)

DITTO-2: Distilled Diffusion Inference-Time T-Optimization for Music Generation. - Zachary Novack; Julian J. McAuley; Taylor Berg-Kirkpatrick; Nicholas J. Bryan (ISMIR, 2024)

HYSYNTH: Context-Free LLM Approximation for Guiding Program Synthesis. - Shraddha Barke; Emmanuel Anaya Gonzalez; Saketh Ram Kasibatla; Taylor Berg-Kirkpatrick; Nadia Polikarpova (NeurIPS, 2024)

Grammar-Aligned Decoding. - Kanghee Park; Jiayu Wang; Taylor Berg-Kirkpatrick; Nadia Polikarpova; Loris D'Antoni (NeurIPS, 2024)

MAWI Rec: Leveraging Severe Weather Data in Recommendation. - Brendan Andrew Duncan; Surya Kallumadi; Taylor Berg-Kirkpatrick; Julian J. McAuley (RecSys, 2024)

Generating Symbolic Music from Natural Language Prompts using an LLM-Enhanced Dataset. - Weihan Xu; Julian J. McAuley; Taylor Berg-Kirkpatrick; Shlomo Dubnov; Hao-Wen Dong (CoRR, 2024)

Imprompter: Tricking LLM Agents into Improper Tool Use. - Xiaohan Fu; Shuheng Li; Zihan Wang 001; Yihao Liu; Rajesh K. Gupta 001; Taylor Berg-Kirkpatrick; Earlence Fernandes (CoRR, 2024)

ClimaQA: An Automated Evaluation Framework for Climate Foundation Models. - Veeramakali Vignesh Manivannan; Yasaman Jafari; Srikar Eranky; Spencer Ho; Rose Yu; Duncan Watson-Parris; Yian Ma; Leon Bergen; Taylor Berg-Kirkpatrick (CoRR, 2024)

Adapting While Learning: Grounding LLMs for Scientific Problems with Intelligent Tool Usage Adaptation. - Bohan Lyu 001; Yadi Cao; Duncan Watson-Parris; Leon Bergen; Taylor Berg-Kirkpatrick; Rose Yu (CoRR, 2024)

CuneiML: A Cuneiform Dataset. - Danlu Chen; Aditi Agarwal; Taylor Berg-Kirkpatrick; Jacobo Myerston (Zenodo, 2024)

PDMX: A Large-Scale Public Domain MusicXML Dataset for Symbolic Music Processing. - Phillip Long; Zachary Novack; Julian J. McAuley; Taylor Berg-Kirkpatrick (Zenodo, 2024)

PDMX: A Large-Scale Public Domain MusicXML Dataset for Symbolic Music Processing. - Phillip Long; Zachary Novack; Julian J. McAuley; Taylor Berg-Kirkpatrick (Zenodo, 2024)

PDMX: A Large-Scale Public Domain MusicXML Dataset for Symbolic Music Processing. - Phillip Long; Zachary Novack; Julian J. McAuley; Taylor Berg-Kirkpatrick (Zenodo, 2024)

PDMX: A Large-Scale Public Domain MusicXML Dataset for Symbolic Music Processing. - Phillip Long; Zachary Novack; Julian J. McAuley; Taylor Berg-Kirkpatrick (Zenodo, 2024)

PDMX: A Large-Scale Public Domain MusicXML Dataset for Symbolic Music Processing. - Phillip Long; Zachary Novack; Taylor Berg-Kirkpatrick; Julian J. McAuley (ICASSP, 2025)

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 (ICLR, 2025)

Presto! Distilling Steps and Layers for Accelerating Music Generation. - Zachary Novack; Ge Zhu; Jonah Casebeer; Julian J. McAuley; Taylor Berg-Kirkpatrick; Nicholas J. Bryan (ICLR, 2025)

TeaserGen: Generating Teasers for Long Documentaries. - Weihan Xu; Paul Pu Liang; Haven Kim; Julian J. McAuley; Taylor Berg-Kirkpatrick; Hao-Wen Dong (ICLR, 2025)

Optimizing Hidden Markov Language Models: An Empirical Study of Reparameterization and Initialization Techniques. - Ivan Lee; Taylor Berg-Kirkpatrick (NAACL (Findings), 2025)

PDMX: A Large-Scale Public Domain MusicXML Dataset for Symbolic Music Processing. - Phillip Long; Zachary Novack; Julian John McAuley; Taylor Berg-Kirkpatrick (Zenodo, 2025)

PDMX: A Large-Scale Public Domain MusicXML Dataset for Symbolic Music Processing. - Phillip Long; Zachary Novack; Julian J. McAuley; Taylor Berg-Kirkpatrick (Zenodo, 2025)

Deriving Representative Structure from Music Corpora. - Ilana Shapiro; Ruanqianqian (Lisa) Huang; Zachary Novack; Cheng-i Wang; Hao-Wen Dong; Taylor Berg-Kirkpatrick; Shlomo Dubnov; Sorin Lerner (CoRR, 2025)

PDMX: A Large-Scale Public Domain MusicXML Dataset for Symbolic Music Processing. - Phillip Long; Zachary Novack; Julian J. McAuley; Taylor Berg-Kirkpatrick (Zenodo, 2025)

Are you really listening? Boosting Perceptual Awareness in Music-QA Benchmarks. - Yongyi Zang; Sean O'Brien; Taylor Berg-Kirkpatrick; Julian J. McAuley; Zachary Novack (CoRR, 2025)

Single-Pass Document Scanning for Question Answering. - Weili Cao; Jianyou Wang; Youze Zheng; Longtian Bao; Qirui Zheng; Taylor Berg-Kirkpatrick; Ramamohan Paturi; Leon Bergen (CoRR, 2025)

Fast Text-to-Audio Generation with Adversarial Post-Training. - Zachary Novack; Zach Evans; Zack Zukowski; Josiah Taylor; CJ Carr; Julian Parker; Adnan Al-Sinan; Gian Marco Iodice; Julian J. McAuley; Taylor Berg-Kirkpatrick; Jordi Pons (CoRR, 2025)

REGen: Multimodal Retrieval-Embedded Generation for Long-to-Short Video Editing. - Weihan Xu; Yimeng Ma; Jingyue Huang; Yang Li; Wenye Ma; Taylor Berg-Kirkpatrick; Julian J. McAuley; Paul Pu Liang; Hao-Wen Dong (CoRR, 2025)

The Surprising Soupability of Documents in State Space Models. - Yasaman Jafari; Zixian Wang; Leon Bergen; Taylor Berg-Kirkpatrick (CoRR, 2025)

Constrained Sampling for Language Models Should Be Easy: An MCMC Perspective. - Emmanuel Anaya Gonzalez; Sairam Vaidya; Kanghee Park; Ruyi Ji; Taylor Berg-Kirkpatrick; Loris D'Antoni (CoRR, 2025)

WildFX: A DAW-Powered Pipeline for In-the-Wild Audio FX Graph Modeling. - Qihui Yang; Taylor Berg-Kirkpatrick; Julian J. McAuley; Zachary Novack (CoRR, 2025)

Bob's Confetti: Phonetic Memorization Attacks in Music and Video Generation. - Jaechul Roh; Zachary Novack; Yuefeng Peng; Niloofar Mireshghallah; Taylor Berg-Kirkpatrick; Amir Houmansadr (CoRR, 2025)