Tweet2Vec: Character-Based Distributed Representations for Social Media. - Bhuwan Dhingra; Zhong Zhou; Dylan J. Fitzpatrick; Michael Muehl; William W. Cohen (ACL (2), 2016)

Using Graphs of Classifiers to Impose Constraints on Semi-supervised Relation Extraction. - Lidong Bing; William W. Cohen; Bhuwan Dhingra; Richard C. Wang (AKBC@NAACL-HLT, 2016)

Gated-Attention Readers for Text Comprehension. - Bhuwan Dhingra; Hanxiao Liu; William W. Cohen; Ruslan Salakhutdinov (CoRR, 2016)

End-to-End Reinforcement Learning of Dialogue Agents for Information Access. - Bhuwan Dhingra; Lihong Li 001; Xiujun Li; Jianfeng Gao 001; Yun-Nung Chen; Faisal Ahmed 001; Li Deng 001 (CoRR, 2016)

A User Simulator for Task-Completion Dialogues. - Xiujun Li; Zachary C. Lipton; Bhuwan Dhingra; Lihong Li 001; Jianfeng Gao 001; Yun-Nung Chen (CoRR, 2016)

Bootstrapping Distantly Supervised IE Using Joint Learning and Small Well-Structured Corpora. - Lidong Bing; Bhuwan Dhingra; Kathryn Mazaitis; Jong Hyuk Park 004; William W. Cohen (AAAI, 2017)

Towards End-to-End Reinforcement Learning of Dialogue Agents for Information Access. - Bhuwan Dhingra; Lihong Li 001; Xiujun Li; Jianfeng Gao 001; Yun-Nung Chen; Faisal Ahmed 001; Li Deng 001 (ACL (1), 2017)

Gated-Attention Readers for Text Comprehension. - Bhuwan Dhingra; Hanxiao Liu; Zhilin Yang 001; William W. Cohen; Ruslan Salakhutdinov (ACL (1), 2017)

Words or Characters? Fine-grained Gating for Reading Comprehension. - Zhilin Yang 001; Bhuwan Dhingra; Ye Yuan; Junjie Hu 001; William W. Cohen; Ruslan Salakhutdinov (ICLR (Poster), 2017)

Using Graphs of Classifiers to Impose Declarative Constraints on Semi-supervised Learning. - Lidong Bing; William W. Cohen; Bhuwan Dhingra (IJCAI, 2017)

A Comparative Study of Word Embeddings for Reading Comprehension. - Bhuwan Dhingra; Hanxiao Liu; Ruslan Salakhutdinov; William W. Cohen (CoRR, 2017)

Quasar: Datasets for Question Answering by Search and Reading. - Bhuwan Dhingra; Kathryn Mazaitis; William W. Cohen (CoRR, 2017)

Linguistic Knowledge as Memory for Recurrent Neural Networks. - Bhuwan Dhingra; Zhilin Yang 001; William W. Cohen; Ruslan Salakhutdinov (CoRR, 2017)

Question Answering from Unstructured Text by Retrieval and Comprehension. - Yusuke Watanabe; Bhuwan Dhingra; Ruslan Salakhutdinov (CoRR, 2017)

Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text. - Haitian Sun; Bhuwan Dhingra; Manzil Zaheer; Kathryn Mazaitis; Ruslan Salakhutdinov; William W. Cohen (EMNLP, 2018)

Neural Models for Reasoning over Multiple Mentions Using Coreference. - Bhuwan Dhingra; Qiao Jin 001; Zhilin Yang 001; William W. Cohen; Ruslan Salakhutdinov (NAACL-HLT (2), 2018)

Simple and Effective Semi-Supervised Question Answering. - Bhuwan Dhingra; Danish Pruthi; Dheeraj Rajagopal (NAACL-HLT (2), 2018)

GLoMo: Unsupervised Learning of Transferable Relational Graphs. - Zhilin Yang 001; Junbo Jake Zhao; Bhuwan Dhingra; Kaiming He; William W. Cohen; Ruslan Salakhutdinov; Yann LeCun (NeurIPS, 2018)

Embedding Text in Hyperbolic Spaces. - Bhuwan Dhingra; Christopher J. Shallue; Mohammad Norouzi 002; Andrew M. Dai; George E. Dahl (TextGraphs@NAACL-HLT, 2018)

GLoMo: Unsupervisedly Learned Relational Graphs as Transferable Representations. - Zhilin Yang 001; Junbo Jake Zhao; Bhuwan Dhingra; Kaiming He; William W. Cohen; Ruslan Salakhutdinov; Yann LeCun (CoRR, 2018)

Handling Divergent Reference Texts when Evaluating Table-to-Text Generation. - Bhuwan Dhingra; Manaal Faruqui; Ankur P. Parikh; Ming-Wei Chang; Dipanjan Das 001; William W. Cohen (ACL (1), 2019)

Combating Adversarial Misspellings with Robust Word Recognition. - Danish Pruthi; Bhuwan Dhingra; Zachary C. Lipton (ACL (1), 2019)

PubMedQA: A Dataset for Biomedical Research Question Answering. - Qiao Jin 001; Bhuwan Dhingra; Zhengping Liu; William W. Cohen; Xinghua Lu 001 (EMNLP/IJCNLP (1), 2019)

Text Generation with Exemplar-based Adaptive Decoding. - Hao Peng; Ankur P. Parikh; Manaal Faruqui; Bhuwan Dhingra; Dipanjan Das 001 (NAACL-HLT (1), 2019)

Probing Biomedical Embeddings from Language Models. - Qiao Jin 001; Bhuwan Dhingra; William W. Cohen; Xinghua Lu 001 (CoRR, 2019)

Learning to Deceive with Attention-Based Explanations. - Danish Pruthi; Mansi Gupta; Bhuwan Dhingra; Graham Neubig; Zachary C. Lipton (ACL, 2020)

ToTTo: A Controlled Table-To-Text Generation Dataset. - Ankur P. Parikh; Xuezhi Wang 002; Sebastian Gehrmann; Manaal Faruqui; Bhuwan Dhingra; Diyi Yang; Dipanjan Das 001 (EMNLP (1), 2020)

Weakly- and Semi-supervised Evidence Extraction. - Danish Pruthi; Bhuwan Dhingra; Graham Neubig; Zachary C. Lipton (EMNLP (Findings), 2020)

Differentiable Reasoning over a Virtual Knowledge Base. - Bhuwan Dhingra; Manzil Zaheer; Vidhisha Balachandran; Graham Neubig; Ruslan Salakhutdinov; William W. Cohen (ICLR, 2020)

Evaluating Explanations: How much do explanations from the teacher aid students? - Danish Pruthi; Bhuwan Dhingra; Livio Baldini Soares; Michael Collins 001; Zachary C. Lipton; Graham Neubig; William W. Cohen (CoRR, 2020)

Investigating the Effect of Background Knowledge on Natural Questions. - Vidhisha Balachandran; Bhuwan Dhingra; Haitian Sun; Michael Collins 001; William W. Cohen (DeeLIO@NAACL-HLT, 2021)

Siamese Bert for Authorship Verification. - Jacob Tyo; Bhuwan Dhingra; Zachary C. Lipton (CLEF (Working Notes), 2021)

Reasoning Over Virtual Knowledge Bases With Open Predicate Relations. - Haitian Sun; Patrick Verga; Bhuwan Dhingra; Ruslan Salakhutdinov; William W. Cohen (ICML, 2021)

Fool Me Twice: Entailment from Wikipedia Gamification. - Julian Martin Eisenschlos; Bhuwan Dhingra; Jannis Bulian; Benjamin Börschinger; Jordan L. Boyd-Graber (NAACL-HLT, 2021)

Differentiable Open-Ended Commonsense Reasoning. - Bill Yuchen Lin; Haitian Sun; Bhuwan Dhingra; Manzil Zaheer; Xiang Ren 001; William W. Cohen (NAACL-HLT, 2021)

ASQA: Factoid Questions Meet Long-Form Answers. - Ivan Stelmakh; Yi Luan; Bhuwan Dhingra; Ming-Wei Chang (EMNLP, 2022)

Characterizing the Efficiency vs. Accuracy Trade-off for Long-Context NLP Models. - Phyllis Ang; Bhuwan Dhingra; Lisa Wu Wills (CoRR, 2022)

On the State of the Art in Authorship Attribution and Authorship Verification. - Jacob Tyo; Bhuwan Dhingra; Zachary C. Lipton (CoRR, 2022)

Time-Aware Language Models as Temporal Knowledge Bases. - Bhuwan Dhingra; Jeremy R. Cole; Julian Martin Eisenschlos; Daniel Gillick; Jacob Eisenstein; William W. Cohen (Trans. Assoc. Comput. Linguistics, 2022)

Evaluating Explanations: How Much Do Explanations from the Teacher Aid Students? - Danish Pruthi; Rachit Bansal; Bhuwan Dhingra; Livio Baldini Soares; Michael Collins 001; Zachary C. Lipton; Graham Neubig; William W. Cohen (Trans. Assoc. Comput. Linguistics, 2022)

Interface Design for Crowdsourcing Hierarchical Multi-Label Text Annotations. - Rickard Stureborg; Bhuwan Dhingra; Jun Yang 001 (CHI, 2023)

Salient Span Masking for Temporal Understanding. - Jeremy R. Cole; Aditi Chaudhary; Bhuwan Dhingra; Partha Talukdar (EACL, 2023)

DiffQG: Generating Questions to Summarize Factual Changes. - Jeremy R. Cole; Palak Jain 006; Julian Martin Eisenschlos; Michael J. Q. Zhang; Eunsol Choi; Bhuwan Dhingra (EACL, 2023)

Learning the Legibility of Visual Text Perturbations. - Dev Seth; Rickard Stureborg; Danish Pruthi; Bhuwan Dhingra (EACL, 2023)

Selectively Answering Ambiguous Questions. - Jeremy R. Cole; Michael J. Q. Zhang; Daniel Gillick; Julian Eisenschlos; Bhuwan Dhingra; Jacob Eisenstein (EMNLP, 2023)

Valla: Standardizing and Benchmarking Authorship Attribution and Verification Through Empirical Evaluation and Comparative Analysis. - Jacob Tyo; Bhuwan Dhingra; Zachary C. Lipton (IJCNLP (1), 2023)

Hierarchical Multi-Instance Multi-Label Learning for Detecting Propaganda Techniques. - Anni Chen; Bhuwan Dhingra (RepL4NLP@ACL, 2023)

End-to-End Learning with Text & Knowledge Bases - Bhuwan Dhingra (2023)

Extracting Polymer Nanocomposite Samples from Full-Length Documents. - Ghazal Khalighinejad; Defne Circi; L. Catherine Brinson; Bhuwan Dhingra (ACL (Findings), 2024)

Raccoon: Prompt Extraction Benchmark of LLM-Integrated Applications. - Junlin Wang; Tianyi Yang; Roy Xie; Bhuwan Dhingra (ACL (Findings), 2024)

Sequence Reducible Holdout Loss for Language Model Pretraining. - Raghuveer Thirukovalluru; Nicholas Monath; Bhuwan Dhingra; Sam Wiseman (LREC/COLING, 2024)

Calibrating Long-form Generations From Large Language Models. - Yukun Huang; Yixin Liu 003; Raghuveer Thirukovalluru; Arman Cohan; Bhuwan Dhingra (EMNLP (Findings), 2024)

Atomic Self-Consistency for Better Long Form Generations. - Raghuveer Thirukovalluru; Yukun Huang; Bhuwan Dhingra (EMNLP, 2024)

Adversarial Math Word Problem Generation. - Roy Xie; Chengxuan Huang; Junlin Wang; Bhuwan Dhingra (EMNLP (Findings), 2024)

ReCaLL: Membership Inference via Relative Conditional Log-Likelihoods. - Roy Xie; Junlin Wang; Ruomin Huang; Minxing Zhang; Rong Ge; Jian Pei 001; Neil Gong 001; Bhuwan Dhingra (EMNLP, 2024)

Tailoring Vaccine Messaging with Common-Ground Opinions. - Rickard Stureborg; Sanxing Chen; Roy Xie; Aayushi Patel; Christopher Li; Chloe Qinyu Zhu; Tingnan Hu; Jun Yang; Bhuwan Dhingra (NAACL-HLT (Findings), 2024)

SumCSE: Summary as a transformation for Contrastive Learning. - Raghuveer Thirukovalluru; Xiaolan Wang; Jun Chen; Shuyang Li; Jie Lei; Rong Jin; Bhuwan Dhingra (NAACL-HLT (Findings), 2024)

Stratified Prediction-Powered Inference for Effective Hybrid Evaluation of Language Models. - Adam Fisch; Joshua Maynez; R. Alex Hofer; Bhuwan Dhingra; Amir Globerson; William W. Cohen (NeurIPS, 2024)

Hierarchical Multi-Label Classification of Online Vaccine Concerns. - Chloe Qinyu Zhu; Rickard Stureborg; Bhuwan Dhingra (CoRR, 2024)

LLM-Resistant Math Word Problem Generation via Adversarial Attacks. - Roy Xie; Chengxuan Huang; Junlin Wang; Bhuwan Dhingra (CoRR, 2024)

IsoBench: Benchmarking Multimodal Foundation Models on Isomorphic Representations. - Deqing Fu; Ghazal Khalighinejad; Ollie Liu; Bhuwan Dhingra; Dani Yogatama; Robin Jia; Willie Neiswanger (CoRR, 2024)

ChatShop: Interactive Information Seeking with Language Agents. - Sanxing Chen; Sam Wiseman; Bhuwan Dhingra (CoRR, 2024)

Bayesian Prediction-Powered Inference. - R. Alex Hofer; Joshua Maynez; Bhuwan Dhingra; Adam Fisch; Amir Globerson; William W. Cohen (CoRR, 2024)

Tailoring Vaccine Messaging with Common-Ground Opinions. - Rickard Stureborg; Sanxing Chen; Ruoyu Xie; Aayushi Patel; Christopher Li; Chloe Qinyu Zhu; Tingnan Hu; Jun Yang; Bhuwan Dhingra (CoRR, 2024)

Stratified Prediction-Powered Inference for Hybrid Language Model Evaluation. - Adam Fisch; Joshua Maynez; R. Alex Hofer; Bhuwan Dhingra; Amir Globerson; William W. Cohen (CoRR, 2024)

Real-time Fake News from Adversarial Feedback. - Sanxing Chen; Yukun Huang; Bhuwan Dhingra (CoRR, 2024)

Enhancing Large Language Models' Situated Faithfulness to External Contexts. - Yukun Huang; Sanxing Chen; Hongyi Cai; Bhuwan Dhingra (CoRR, 2024)

Real-time Factuality Assessment from Adversarial Feedback. - Sanxing Chen; Yukun Huang; Bhuwan Dhingra (ACL (1), 2025)

Fuzzy Speculative Decoding for a Tunable Accuracy-Runtime Tradeoff. - Maximilian Holsman; Yukun Huang; Bhuwan Dhingra (ACL (Findings), 2025)

Close or Cloze? Assessing the Robustness of Large Language Models to Adversarial Perturbations via Word Recovery. - Luke Moffett; Bhuwan Dhingra (COLING, 2025)

To Trust or Not to Trust? Enhancing Large Language Models' Situated Faithfulness to External Contexts. - Yukun Huang; Sanxing Chen; Hongyi Cai; Bhuwan Dhingra (ICLR, 2025)

Evaluating Morphological Compositional Generalization in Large Language Models. - Mete Ismayilzada; Defne Circi; Jonne Sälevä; Hale Sirin; Abdullatif Köksal; Bhuwan Dhingra; Antoine Bosselut; Duygu Ataman; Lonneke van der Plas (NAACL (Long Papers), 2025)

MatViX: Multimodal Information Extraction from Visually Rich Articles. - Ghazal Khalighinejad; Sharon Scott; Ollie Liu; Kelly L. Anderson; Rickard Stureborg; Aman Tyagi; Bhuwan Dhingra (NAACL (Long Papers), 2025)

GenEOL: Harnessing the Generative Power of LLMs for Training-Free Sentence Embeddings. - Raghuveer Thirukovalluru; Bhuwan Dhingra (NAACL (Findings), 2025)

Knowing When to Stop: Dynamic Context Cutoff for Large Language Models. - Roy Xie; Junlin Wang; Paul Rosu; Chunyuan Deng; Bolun Sun; Zihao Lin; Bhuwan Dhingra (CoRR, 2025)

Think Deep, Think Fast: Investigating Efficiency of Verifier-free Inference-time-scaling Methods. - Junlin Wang; Shang Zhu; Jon Saad-Falcon; Ben Athiwaratkun; Qingyang Wu; Jue Wang; Shuaiwen Leon Song; Ce Zhang 001; Bhuwan Dhingra; James Zou 001 (CoRR, 2025)

Improving Model Alignment Through Collective Intelligence of Open-Source LLMS. - Junlin Wang; Roy Xie; Shang Zhu; Jue Wang; Ben Athiwaratkun; Bhuwan Dhingra; Shuaiwen Leon Song; Ce Zhang 001; James Zou 001 (CoRR, 2025)

Atomic Consistency Preference Optimization for Long-Form Question Answering. - Jingfeng Chen; Raghuveer Thirukovalluru; Junlin Wang; Kaiwei Luo; Bhuwan Dhingra (CoRR, 2025)

Breaking the Batch Barrier (B3) of Contrastive Learning via Smart Batch Mining. - Raghuveer Thirukovalluru; Rui Meng; Ye Liu; Karthikeyan K; Mingyi Su; Ping Nie; Semih Yavuz; Yingbo Zhou; Wenhu Chen; Bhuwan Dhingra (CoRR, 2025)

Interleaved Reasoning for Large Language Models via Reinforcement Learning. - Roy Xie; David Qiu; Deepak Gopinath; Dong Lin; Yanchao Sun; Chong Wang; Saloni Potdar; Bhuwan Dhingra (CoRR, 2025)

How Much Backtracking is Enough? Exploring the Interplay of SFT and RL in Enhancing LLM Reasoning. - Hongyi James Cai; Junlin Wang; Xiaoyin Chen; Bhuwan Dhingra (CoRR, 2025)

A Platform for Investigating Public Health Content with Efficient Concern Classification. - Christopher Li; Rickard Stureborg; Bhuwan Dhingra; Jun Yang (CoRR, 2025)

Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models. - Yukun Huang; Sanxing Chen; Jian Pei 001; Manzil Zaheer; Bhuwan Dhingra (CoRR, 2025)