| 2026 | ACL | Do Image-Text Metrics Respect Semantic Invariances? | Amit Agarwal, Hitesh Laxmichand Patel, Meizhu Liu, Jyotika Singh, Karan Dua, Hansa Meghwani, Matthew Rowe, Michael Avendi, Yassi Abbasi, Tao Sheng, Sujith Ravi, Dan Roth |
| 2026 | ACL | REaR : Retrieve, Expand and Refine for Effective Multitable Retrieval. | Rishita Agarwal, Himanshu Singhal, Peter Baile Chen, Manan Roy Choudhury, Dan Roth, Vivek Gupta |
| 2026 | ACL | JTPRO: A Joint Tool-Prompt Reflective Optimization Framework for Language Agents. | Sandip Ghoshal, Anshul Mittal, Jyotika Singh, Miguel Ballesteros, Weiyi Sun, Fang Tu, Shailender Singh, Yassine Benajiba, Fahad Shah, Sujeeth Bharadwaj, Sujith Ravi, Dan Roth |
| 2026 | ACL | ToolScope: Enhancing LLM Agent Tool Use through Tool Merging and Context-Aware Filtering. | Marianne Menglin Liu, Daniel Garcia, Fjona Parllaku, Vikas Upadhyay, Fahad Shah, Dan Roth |
| 2026 | ACL | PAR²-RAG: Planned Active Retrieval and Reasoning for Multi-Hop Question Answering. | Xingyu Li, Rongguang Wang, Yuying Wang, Mengqing Guo, Chenyang Li, Tao Sheng, Sujith Ravi, Dan Roth |
| 2026 | ACL | Decomposed Prompting Does Not Fix Knowledge Gaps, But Helps Models Say "I Don't Know". | Dhruv Madhwal, Lyuxin David Zhang, Dan Roth, Tomer Wolfson, Vivek Gupta |
| 2026 | ACL | Toward Robust Evaluation for Multilingual Grammatical Error Correction: Can Large Language Models Replace Human References? | Alla Rozovskaya, Dan Roth |
| 2026 | ACL | SPENCE: A Syntactic Probe for Detecting Contamination in NL2SQL Benchmarks. | Mohammadtaher Safarzadeh, Hitesh Laxmichand Patel, Afshin Oroojlooy, Graham Horwood, Dan Roth |
| 2026 | ACL | MT-OSC: Path for LLMs that Get Lost in Multi-Turn Conversation. | Jyotika Singh, Fang Tu, Miguel Ballesteros, Weiyi Sun, Sandip Ghoshal, Michelle Yuan, Yassine Benajiba, Sujith Ravi, Dan Roth |
| 2026 | ACL | LAD-RAG: Layout-aware Dynamic RAG for Visually-Rich Document Understanding. | Zhivar Sourati, Zheng Wang, Marianne Menglin Liu, Yazhe Hu, Mengqing Guo, Sujeeth Bharadwaj, Kyu J. Han, Tao Sheng, Sujith Ravi, Morteza Dehghani, Dan Roth |
| 2026 | ACL | Budget-Aware Anytime Reasoning with LLM-Synthesized Preference Data. | Xuanming Zhang, Shwan Ashrafi, Aziza Mirsaidova, Amir Rezaeian, Miguel Ballesteros, Lydia B. Chilton, Zhou Yu, Dan Roth |
| 2026 | ACL | When Vision-Language Models Judge Without Seeing: Exposing Informativeness Bias. | Xiaohan Zou, Roshan Sridhar, Mohammadtaher Safarzadeh, Dan Roth |
| 2026 | EACL | Program-of-Thought Reveals LLM Abstraction Ceilings. | Mike Zhou, Fenil Denish Bardoliya, Vivek Gupta, Dan Roth |
| 2025 | ACL | Can we Retrieve Everything All at Once? ARM: An Alignment-Oriented LLM-based Retrieval Method. | Peter Baile Chen, Yi Zhang, Mike Cafarella, Dan Roth |
| 2025 | ACL | DeAL: Decoding-time Alignment for Large Language Models. | James Y. Huang, Sailik Sengupta, Daniele Bonadiman, Yi-An Lai, Arshit Gupta, Nikolaos Pappas, Saab Mansour, Katrin Kirchhoff, Dan Roth |
| 2025 | ACL | LLM-Symbolic Integration for Robust Temporal Tabular Reasoning. | Atharv Kulkarni, Kushagra Dixit, Vivek Srikumar, Dan Roth, Vivek Gupta |
| 2025 | ACL | Talking Point based Ideological Discourse Analysis in News Events. | Nishanth Sridhar Nakshatri, Nikhil Mehta, Siyi Liu, Sihao Chen, Daniel Hopkins, Dan Roth, Dan Goldwasser |
| 2025 | ACL | PRAISE: Enhancing Product Descriptions with LLM-Driven Structured Insights. | Adnan Qidwai, Srija Mukhopadhyay, Prerana Khatiwada, Dan Roth, Vivek Gupta |
| 2025 | EMNLP | Aligning LLMs for Multilingual Consistency in Enterprise Applications. | Amit Agarwal, Hansa Meghwani, Hitesh Laxmichand Patel, Tao Sheng, Sujith Ravi, Dan Roth |
| 2025 | EMNLP | RCI: A Score for Evaluating Global and Local Reasoning in Multimodal Benchmarks. | Amit Agarwal, Hitesh Laxmichand Patel, Srikant Panda, Hansa Meghwani, Jyotika Singh, Karan Dua, Paul Li, Tao Sheng, Sujith Ravi, Dan Roth |
| 2025 | EMNLP | Rethinking LLM Uncertainty: A Multi-Agent Approach to Estimating Black-Box Model Uncertainty. | Yu Feng, Phu Mon Htut, Zheng Qi, Wei Xiao, Manuel Mager, Nikolaos Pappas, Kishaloy Halder, Yang Li, Yassine Benajiba, Dan Roth |
| 2025 | EMNLP | Weaver: Interweaving SQL and LLM for Table Reasoning. | Rohit Khoja, Devanshu Gupta, Yanjie Fu, Dan Roth, Vivek Gupta |
| 2025 | EMNLP | Conflicts in Texts: Data, Implications and Challenges. | Siyi Liu, Dan Roth |
| 2025 | EMNLP | AutoCT: Automating Interpretable Clinical Trial Prediction with LLM Agents. | Fengze Liu, Haoyu Wang, Joonhyuk Cho, Dan Roth, Andrew Lo |
| 2025 | EMNLP | PCRI: Measuring Context Robustness in Multimodal Models for Enterprise Applications. | Hitesh Laxmichand Patel, Amit Agarwal, Srikant Panda, Hansa Meghwani, Karan Dua, Paul Li, Tao Sheng, Sujith Ravi, Dan Roth |
| 2025 | EMNLP | Evaluating NL2SQL via SQL2NL. | Mohammadtaher Safarzadeh, Afshin Oroojlooy, Dan Roth |
| 2025 | EMNLP | LogiCoL: Logically-Informed Contrastive Learning for Set-based Dense Retrieval. | Yanzhen Shen, Sihao Chen, Xueqiang Xu, Yunyi Zhang, Chaitanya Malaviya, Dan Roth |
| 2025 | EMNLP | Can LLMs Narrate Tabular Data? An Evaluation Framework for Natural Language Representations of Text-to-SQL System Outputs. | Jyotika Singh, Weiyi Sun, Amit Agarwal, Viji Krishnamurthy, Yassine Benajiba, Sujith Ravi, Dan Roth |
| 2025 | EMNLP | MrGuard: A Multilingual Reasoning Guardrail for Universal LLM Safety. | Yahan Yang, Soham Dan, Shuo Li, Dan Roth, Insup Lee |
| 2025 | ICLR | BIRD: A Trustworthy Bayesian Inference Framework for Large Language Models. | Yu Feng, Ben Zhou, Weidong Lin, Dan Roth |
| 2025 | ICLR | Beyond correlation: The impact of human uncertainty in measuring the effectiveness of automatic evaluation and LLM-as-a-judge. | Aparna Elangovan, Lei Xu, Jongwoo Ko, Mahsa Elyasi, Ling Liu, Sravan Babu Bodapati, Dan Roth |
| 2025 | ICLR | MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding. | Fei Wang, Xingyu Fu, James Y. Huang, Zekun Li, Qin Liu, Xiaogeng Liu, Mingyu Derek Ma, Nan Xu, Wenxuan Zhou, Kai Zhang, Tianyi Lorena Yan, Wenjie Jacky Mo, Hsiang-Hui Liu, Pan Lu, Chunyuan Li, Chaowei Xiao, Kai-Wei Chang, Dan Roth, Sheng Zhang, Hoifung Poon, Muhao Chen |
| 2025 | ICML | ReFocus: Visual Editing as a Chain of Thought for Structured Image Understanding. | Xingyu Fu, Minqian Liu, Zhengyuan Yang, John Corring, Yijuan Lu, Jianwei Yang, Dan Roth, Dinei A. F. Florncio, Cha Zhang |
| 2025 | ICML | GIVE: Structured Reasoning of Large Language Models with Knowledge Graph Inspired Veracity Extrapolation. | Jiashu He, Mingyu Derek Ma, Jinxuan Fan, Dan Roth, Wei Wang, Alejandro Ribeiro |
| 2025 | IJCNLP | INTERCHART: Benchmarking Visual Reasoning Across Decomposed and Distributed Chart Information. | Anirudh Iyengar Kaniyar Narayana Iyengar, Srija Mukhopadhyay, Adnan Qidwai, Shubhankar Singh, Dan Roth, Vivek Gupta |
| 2025 | IJCNLP | No Universal Prompt: Unifying Reasoning through Adaptive Prompting for Temporal Table Reasoning. | Abhishek Rajgaria, Kushagra Dixit, Mayank Vyas, Harshavardhan Kalalbandi, Dan Roth, Vivek Gupta |
| 2025 | KDD | On Reasoning LLMs: Myths, Merits, and How to Move Forward. | Dan Roth |
| 2025 | NAACL | H-STAR: LLM-driven Hybrid SQL-Text Adaptive Reasoning on Tables. | Nikhil Abhyankar, Vivek Gupta, Dan Roth, Chandan K. Reddy |
| 2025 | NAACL | On Reference (In-)Determinacy in Natural Language Inference. | Sihao Chen, Chaitanya Malaviya, Alex Fabrikant, Hagai Taitelbaum, Tal Schuster, Senaka Buthpitiya, Dan Roth |
| 2025 | NAACL | Enhancing Temporal Understanding in LLMs for Semi-structured Tables. | Irwin Deng, Kushagra Dixit, Dan Roth, Vivek Gupta |
| 2025 | NAACL | Leveraging LLM For Synchronizing Information Across Multilingual Tables. | Siddharth Khincha, Tushar Kataria, Ankita Anand, Dan Roth, Vivek Gupta |
| 2025 | NAACL | Towards Long Context Hallucination Detection. | Siyi Liu, Kishaloy Halder, Zheng Qi, Wei Xiao, Nikolaos Pappas, Phu Mon Htut, Neha Anna John, Yassine Benajiba, Dan Roth |
| 2025 | NAACL | Open Domain Question Answering with Conflicting Contexts. | Siyi Liu, Qiang Ning, Kishaloy Halder, Zheng Qi, Wei Xiao, Phu Mon Htut, Yi Zhang, Neha Anna John, Bonan Min, Yassine Benajiba, Dan Roth |
| 2025 | NAACL | MAPWise: Evaluating Vision-Language Models for Advanced Map Queries. | Srija Mukhopadhyay, Abhishek Rajgaria, Prerana Khatiwada, Manish Shrivastava, Dan Roth, Vivek Gupta |
| 2025 | NAACL | NTSEBENCH: Cognitive Reasoning Benchmark for Vision Language Models. | Pranshu Pandya, Vatsal Gupta, Agney S. Talwarr, Tushar Kataria, Dan Roth, Vivek Gupta |
| 2025 | NAACL | TRANSIENTTABLES: Evaluating LLMs' Reasoning on Temporally Evolving Semi-structured Tables. | Abhilash Reddy Shankarampeta, Harsh Mahajan, Tushar Kataria, Dan Roth, Vivek Gupta |
| 2025 | NAACL | Aligning to Constraints for Data-Efficient Language Model Customization. | Fei Wang, Chao Shang, Shuai Wang, Sarthak Jain, Qiang Ning, Bonan Min, Vittorio Castelli, Yassine Benajiba, Dan Roth |
| 2024 | ACL | Is Table Retrieval a Solved Problem? Exploring Join-Aware Multi-Table Retrieval. | Peter Baile Chen, Yi Zhang, Dan Roth |
| 2024 | ACL | ConSiDERS-The-Human Evaluation Framework: Rethinking Human Evaluation for Generative Large Language Models. | Aparna Elangovan, Ling Liu, Lei Xu, Sravan Babu Bodapati, Dan Roth |
| 2024 | ACL | FlowVQA: Mapping Multimodal Logic in Visual Question Answering with Flowcharts. | Shubhankar Singh, Purvi Chaurasia, Yerram Varun, Pranshu Pandya, Vatsal Gupta, Vivek Gupta, Dan Roth |
| 2024 | ACL | Evaluating LLMs' Mathematical Reasoning in Financial Document Question Answering. | Pragya Srivastava, Manuj Malik, Vivek Gupta, Tanuja Ganu, Dan Roth |
| 2024 | COLING | CoCoMIC: Code Completion by Jointly Modeling In-file and Cross-file Context. | Yangruibo Ding, Zijian Wang, Wasi Uddin Ahmad, Murali Krishna Ramanathan, Ramesh Nallapati, Parminder Bhatia, Dan Roth, Bing Xiang |
| 2024 | EACL | Event Semantic Classification in Context. | Haoyu Wang, Hongming Zhang, Kaiqiang Song, Dong Yu, Dan Roth |
| 2024 | ECCV | BLINK: Multimodal Large Language Models Can See but Not Perceive. | Xingyu Fu, Yushi Hu, Bangzheng Li, Yu Feng, Haoyu Wang, Xudong Lin, Dan Roth, Noah A. Smith, Wei-Chiu Ma, Ranjay Krishna |
| 2024 | EMNLP | Enhancing LLM Capabilities Beyond Scaling Up. | Wenpeng Yin, Muhao Chen, Rui Zhang, Ben Zhou, Fei Wang, Dan Roth |
| 2024 | EMNLP | Evaluating Concurrent Robustness of Language Models Across Diverse Challenge Sets. | Vatsal Gupta, Pranshu Pandya, Tushar Kataria, Vivek Gupta, Dan Roth |
| 2024 | EMNLP | Event Causality Identification with Synthetic Control. | Haoyu Wang, Fengze Liu, Jiayao Zhang, Dan Roth, Kyle Richardson |
| 2024 | EMNLP | Devil's Advocate: Anticipatory Reflection for LLM Agents. | Haoyu Wang, Tao Li, Zhiwei Deng, Dan Roth, Yang Li |
| 2024 | EMNLP | A Peek into Token Bias: Large Language Models Are Not Yet Genuine Reasoners. | Bowen Jiang, Yangxinyu Xie, Zhuoqun Hao, Xiaomeng Wang, Tanwi Mallick, Weijie Su, Camillo J. Taylor, Dan Roth |
| 2024 | EMNLP | Knowledge-Aware Reasoning over Multimodal Semi-structured Tables. | Suyash Vardhan Mathur, Jainit Sushil Bafna, Kunal Kartik, Harshita Khandelwal, Manish Shrivastava, Vivek Gupta, Mohit Bansal, Dan Roth |
| 2024 | EMNLP | Unraveling the Truth: Do VLMs really Understand Charts? A Deep Dive into Consistency and Robustness. | Srija Mukhopadhyay, Adnan Qidwai, Aparna Garimella, Pritika Ramu, Vivek Gupta, Dan Roth |
| 2024 | ICLR | Code Representation Learning at Scale. | Dejiao Zhang, Wasi Uddin Ahmad, Ming Tan, Hantian Ding, Ramesh Nallapati, Dan Roth, Xiaofei Ma, Bing Xiang |
| 2024 | ICML | Fewer Truncations Improve Language Modeling. | Hantian Ding, Zijian Wang, Giovanni Paolini, Varun Kumar, Anoop Deoras, Dan Roth, Stefano Soatto |
| 2024 | NAACL | Sub-Sentence Encoder: Contrastive Learning of Propositional Semantic Representations. | Sihao Chen, Hongming Zhang, Tong Chen, Ben Zhou, Wenhao Yu, Dian Yu, Baolin Peng, Hongwei Wang, Dan Roth, Dong Yu |
| 2024 | NAACL | SocREval: Large Language Models with the Socratic Method for Reference-free Reasoning Evaluation. | Hangfeng He, Hongming Zhang, Dan Roth |
| 2024 | NAACL | Deceptive Semantic Shortcuts on Reasoning Chains: How Far Can Models Go without Hallucination? | Bangzheng Li, Ben Zhou, Fei Wang, Xingyu Fu, Dan Roth, Muhao Chen |
| 2024 | NAACL | ExpertQA: Expert-Curated Questions and Attributed Answers. | Chaitanya Malaviya, Subin Lee, Sihao Chen, Elizabeth Sieber, Mark Yatskar, Dan Roth |
| 2024 | NAACL | What if you said that differently?: How Explanation Formats Affect Human Feedback Efficacy and User Perception. | Chaitanya Malaviya, Subin Lee, Dan Roth, Mark Yatskar |
| 2024 | NAACL | ReEval: Automatic Hallucination Evaluation for Retrieval-Augmented Large Language Models via Transferable Adversarial Attacks. | Xiaodong Yu, Hao Cheng, Xiaodong Liu, Dan Roth, Jianfeng Gao |
| 2023 | AAAI | GLUECons: A Generic Benchmark for Learning under Constraints. | Hossein Rajaby Faghihi, Aliakbar Nafar, Chen Zheng, Roshanak Mirzaee, Yue Zhang, Andrzej Uszok, Alexander Wan, Tanawan Premsri, Dan Roth, Parisa Kordjamshidi |
| 2023 | ACL | ReCode: Robustness Evaluation of Code Generation Models. | Shiqi Wang, Zheng Li, Haifeng Qian, Chenghao Yang, Zijian Wang, Mingyue Shang, Varun Kumar, Samson Tan, Baishakhi Ray, Parminder Bhatia, Ramesh Nallapati, Murali Krishna Ramanathan, Dan Roth, Bing Xiang |
| 2023 | ACL | Rethinking the Role of Scale for In-Context Learning: An Interpretability-based Case Study at 66 Billion Scale. | Hritik Bansal, Karthik Gopalakrishnan, Saket Dingliwal, Sravan Bodapati, Katrin Kirchhoff, Dan Roth |
| 2023 | ACL | Characterizing and Measuring Linguistic Dataset Drift. | Tyler A. Chang, Kishaloy Halder, Neha Anna John, Yogarshi Vyas, Yassine Benajiba, Miguel Ballesteros, Dan Roth |
| 2023 | ACL | PropSegmEnt: A Large-Scale Corpus for Proposition-Level Segmentation and Entailment Recognition. | Sihao Chen, Senaka Buthpitiya, Alex Fabrikant, Dan Roth, Tal Schuster |
| 2023 | ACL | A Static Evaluation of Code Completion by Large Language Models. | Hantian Ding, Varun Kumar, Yuchen Tian, Zijian Wang, Rob Kwiatkowski, Xiaopeng Li, Murali Krishna Ramanathan, Baishakhi Ray, Parminder Bhatia, Sudipta Sengupta, Dan Roth, Bing Xiang |
| 2023 | ACL | Generic Temporal Reasoning with Differential Analysis and Explanation. | Yu Feng, Ben Zhou, Haoyu Wang, Helen Jin, Dan Roth |
| 2023 | ACL | Generate then Select: Open-ended Visual Question Answering Guided by World Knowledge. | Xingyu Fu, Sheng Zhang, Gukyeong Kwon, Pramuditha Perera, Henghui Zhu, Yuhao Zhang, Alexander Hanbo Li, William Yang Wang, Zhiguo Wang, Vittorio Castelli, Patrick Ng, Dan Roth, Bing Xiang |
| 2023 | ACL | RobustQA: Benchmarking the Robustness of Domain Adaptation for Open-Domain Question Answering. | Rujun Han, Peng Qi, Yuhao Zhang, Lan Liu, Juliette Burger, William Yang Wang, Zhiheng Huang, Bing Xiang, Dan Roth |
| 2023 | ACL | Few-Shot Data-to-Text Generation via Unified Representation and Multi-Source Learning. | Alexander Hanbo Li, Mingyue Shang, Evangelia Spiliopoulou, Jie Ma, Patrick Ng, Zhiguo Wang, Bonan Min, William Yang Wang, Kathleen R. McKeown, Vittorio Castelli, Dan Roth, Bing Xiang |
| 2023 | ACL | In and Out-of-Domain Text Adversarial Robustness via Label Smoothing. | Yahan Yang, Soham Dan, Dan Roth, Insup Lee |
| 2023 | EACL | Incorporating Question Answering-Based Signals into Abstractive Summarization via Salient Span Selection. | Daniel Deutsch, Dan Roth |
| 2023 | EACL | Zero-Shot On-the-Fly Event Schema Induction. | Rotem Dror, Haoyu Wang, Dan Roth |
| 2023 | EACL | Extracting or Guessing? Improving Faithfulness of Event Temporal Relation Extraction. | Haoyu Wang, Hongming Zhang, Yuqian Deng, Jacob R. Gardner, Dan Roth, Muhao Chen |
| 2023 | EACL | Event Linking: Grounding Event Mentions to Wikipedia. | Xiaodong Yu, Wenpeng Yin, Nitish Gupta, Dan Roth |
| 2023 | EACL | CIKQA: Learning Commonsense Inference with a Unified Knowledge-in-the-loop QA Paradigm. | Hongming Zhang, Yintong Huo, Yanai Elazar, Yangqiu Song, Yoav Goldberg, Dan Roth |
| 2023 | EMNLP | Are All Steps Equally Important? Benchmarking Essentiality Detection in Event Processes. | Haoyu Wang, Hongming Zhang, Yueguan Wang, Yuqian Deng, Muhao Chen, Dan Roth |
| 2023 | EMNLP | Taxonomy Expansion for Named Entity Recognition. | Karthikeyan K, Yogarshi Vyas, Jie Ma, Giovanni Paolini, Neha Anna John, Shuai Wang, Yassine Benajiba, Vittorio Castelli, Dan Roth, Miguel Ballesteros |
| 2023 | EMNLP | Comparing Biases and the Impact of Multilingual Training across Multiple Languages. | Sharon Levy, Neha Anna John, Ling Liu, Yogarshi Vyas, Jie Ma, Yoshinari Fujinuma, Miguel Ballesteros, Vittorio Castelli, Dan Roth |
| 2023 | EMNLP | Using LLM for Improving Key Event Discovery: Temporal-Guided News Stream Clustering with Event Summaries. | Nishanth Sridhar Nakshatri, Siyi Liu, Sihao Chen, Dan Roth, Dan Goldwasser, Daniel Hopkins |
| 2023 | EMNLP | Bootstrapping Small & High Performance Language Models with Unmasking-Removal Training Policy. | Yahan Yang, Elior Sulem, Insup Lee, Dan Roth |
| 2023 | ICLR | STREET: A Multi-Task Structured Reasoning and Explanation Benchmark. | Danilo Neves Ribeiro, Shen Wang, Xiaofei Ma, Henghui Zhu, Rui Dong, Deguang Kong, Juliette Burger, Anjelica Ramos, Zhiheng Huang, William Yang Wang, George Karypis, Bing Xiang, Dan Roth |
| 2023 | ICML | On Regularization and Inference with Label Constraints. | Kaifu Wang, Hangfeng He, Tin D. Nguyen, Piyush Kumar, Dan Roth |
| 2023 | IJCNLP | Privacy Adhering Machine Un-learning in NLP. | Vinayshekhar Bannihatti Kumar, Rashmi Gangadharaiah, Dan Roth |
| 2023 | IJCNLP | Conversation Style Transfer using Few-Shot Learning. | Shamik Roy, Raphael Shu, Nikolaos Pappas, Elman Mansimov, Yi Zhang, Saab Mansour, Dan Roth |
| 2022 | ACL | Benchmarking Answer Verification Methods for Question Answering-Based Summarization Evaluation Metrics. | Daniel Deutsch, Dan Roth |
| 2022 | ACL | There's a Time and Place for Reasoning Beyond the Image. | Xingyu Fu, Ben Zhou, Ishaan Preetam Chandratreya, Carl Vondrick, Dan Roth |
| 2022 | ACL | DQ-BART: Efficient Sequence-to-Sequence Model via Joint Distillation and Quantization. | Zheng Li, Zijian Wang, Ming Tan, Ramesh Nallapati, Parminder Bhatia, Andrew O. Arnold, Bing Xiang, Dan Roth |
| 2022 | ACL | Label Semantics for Few Shot Named Entity Recognition. | Jie Ma, Miguel Ballesteros, Srikanth Doss, Rishita Anubhai, Sunil Mallya, Yaser Al-Onaizan, Dan Roth |
| 2022 | ACL | Label Semantic Aware Pre-training for Few-shot Text Classification. | Aaron Mueller, Jason Krone, Salvatore Romeo, Saab Mansour, Elman Mansimov, Yi Zhang, Dan Roth |
| 2022 | CVPR | Cross-modal Map Learning for Vision and Language Navigation. | Georgios Georgakis, Karl Schmeckpeper, Karan Wanchoo, Soham Dan, Eleni Miltsakaki, Dan Roth, Kostas Daniilidis |
| 2022 | EMNLP | LawngNLI: A Long-Premise Benchmark for In-Domain Generalization from Short to Long Contexts and for Implication-Based Retrieval. | William Bruno, Dan Roth |
| 2022 | EMNLP | On the Limitations of Reference-Free Evaluations of Generated Text. | Daniel Deutsch, Rotem Dror, Dan Roth |
| 2022 | EMNLP | Learning to Decompose: Hypothetical Question Decomposition Based on Comparable Texts. | Ben Zhou, Kyle Richardson, Xiaodong Yu, Dan Roth |
| 2022 | ICLR | Weighted Training for Cross-Task Learning. | Shuxiao Chen, Koby Crammer, Hangfeng He, Dan Roth, Weijie J. Su |
| 2022 | ICML | ROCK: Causal Inference Principles for Reasoning about Commonsense Causality. | Jiayao Zhang, Hongming Zhang, Weijie J. Su, Dan Roth |
| 2022 | ICML | Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval. | Uri Alon, Frank F. Xu, Junxian He, Sudipta Sengupta, Dan Roth, Graham Neubig |
| 2022 | ICML | Understanding Robust Generalization in Learning Regular Languages. | Soham Dan, Osbert Bastani, Dan Roth |
| 2022 | NAACL | What Do Users Care About? Detecting Actionable Insights from User Feedback. | Kasturi Bhattacharjee, Rashmi Gangadharaiah, Kathleen R. McKeown, Dan Roth |
| 2022 | NAACL | Design Challenges for a Multi-Perspective Search Engine. | Sihao Chen, Siyi Liu, Xander Uyttendaele, Yi Zhang, William Bruno, Dan Roth |
| 2022 | NAACL | Re-Examining System-Level Correlations of Automatic Summarization Evaluation Metrics. | Daniel Deutsch, Rotem Dror, Dan Roth |
| 2022 | NAACL | PerKGQA: Question Answering over Personalized Knowledge Graphs. | Ritam Dutt, Kasturi Bhattacharjee, Rashmi Gangadharaiah, Dan Roth, Carolyn P. Ros |
| 2022 | NAACL | Entailment Tree Explanations via Iterative Retrieval-Generation Reasoner. | Danilo Neves Ribeiro, Shen Wang, Xiaofei Ma, Rui Dong, Xiaokai Wei, Henghui Zhu, Xinchi Chen, Peng Xu, Zhiheng Huang, Andrew O. Arnold, Dan Roth |
| 2022 | NAACL | Yes, No or IDK: The Challenge of Unanswerable Yes/No Questions. | Elior Sulem, Jamaal Hay, Dan Roth |
| 2021 | AAAI | Visual Pivoting for (Unsupervised) Entity Alignment. | Fangyu Liu, Muhao Chen, Dan Roth, Nigel Collier |
| 2021 | ACL | Constrained Labeled Data Generation for Low-Resource Named Entity Recognition. | Ruohao Guo, Dan Roth |
| 2021 | ACL | Zero-shot Event Extraction via Transfer Learning: Challenges and Insights. | Qing Lyu, Hongming Zhang, Elior Sulem, Dan Roth |
| 2021 | ACL | Coreference Reasoning in Machine Reading Comprehension. | Mingzhu Wu, Nafise Sadat Moosavi, Dan Roth, Iryna Gurevych |
| 2021 | ACL | What is Your Article Based On? Inferring Fine-grained Provenance. | Yi Zhang, Zachary G. Ives, Dan Roth |
| 2021 | ACL | Zero-shot Label-Aware Event Trigger and Argument Classification. | Hongming Zhang, Haoyu Wang, Dan Roth |
| 2021 | CoNLL | Understanding the Extent to which Content Quality Metrics Measure the Information Quality of Summaries. | Daniel Deutsch, Dan Roth |
| 2021 | CoNLL | BabyBERTa: Learning More Grammar With Small-Scale Child-Directed Language. | Philip A. Huebner, Elior Sulem, Cynthia Fisher, Dan Roth |
| 2021 | CVPR | Learning Contextual Causality Between Daily Events From Time-Consecutive Images. | Hongming Zhang, Yintong Huo, Xinran Zhao, Yangqiu Song, Dan Roth |
| 2021 | EACL | Cross-lingual Entity Alignment with Incidental Supervision. | Muhao Chen, Weijia Shi, Ben Zhou, Dan Roth |
| 2021 | EACL | How Good (really) are Grammatical Error Correction Systems? | Alla Rozovskaya, Dan Roth |
| 2021 | EMNLP | Few-Shot Novel Concept Learning for Semantic Parsing. | Soham Dan, Osbert Bastani, Dan Roth |
| 2021 | EMNLP | Compositional Data and Task Augmentation for Instruction Following. | Soham Dan, Xinran Han, Dan Roth |
| 2021 | EMNLP | On the Effects of Transformer Size on In- and Out-of-Domain Calibration. | Soham Dan, Dan Roth |
| 2021 | EMNLP | Back to Square One: Artifact Detection, Training and Commonsense Disentanglement in the Winograd Schema. | Yanai Elazar, Hongming Zhang, Yoav Goldberg, Dan Roth |
| 2021 | EMNLP | Paired Examples as Indirect Supervision in Latent Decision Models. | Nitish Gupta, Sameer Singh, Matt Gardner, Dan Roth |
| 2021 | EMNLP | ESTER: A Machine Reading Comprehension Dataset for Reasoning about Event Semantic Relations. | Rujun Han, I-Hung Hsu, Jiao Sun, Julia Baylon, Qiang Ning, Dan Roth, Nanyun Peng |
| 2021 | EMNLP | Foreseeing the Benefits of Incidental Supervision. | Hangfeng He, Mingyuan Zhang, Qiang Ning, Dan Roth |
| 2021 | EMNLP | Do We Know What We Don't Know? Studying Unanswerable Questions beyond SQuAD 2.0. | Elior Sulem, Jamaal Hay, Dan Roth |
| 2021 | EMNLP | Learning Constraints and Descriptive Segmentation for Subevent Detection. | Haoyu Wang, Hongming Zhang, Muhao Chen, Dan Roth |
| 2021 | ICWSM | Context-Based Quotation Recommendation. | Ansel MacLaughlin, Tao Chen, Burcu Karagol Ayan, Dan Roth |
| 2021 | NAACL | Improving Faithfulness in Abstractive Summarization with Contrast Candidate Generation and Selection. | Sihao Chen, Fan Zhang, Kazoo Sone, Dan Roth |
| 2021 | NAACL | Generalization in Instruction Following Systems. | Soham Dan, Michael Zhou, Dan Roth |
| 2021 | NAACL | MultiOpEd: A Corpus of Multi-Perspective News Editorials. | Siyi Liu, Sihao Chen, Xander Uyttendaele, Dan Roth |
| 2021 | NAACL | RESIN: A Dockerized Schema-Guided Cross-document Cross-lingual Cross-media Information Extraction and Event Tracking System. | Haoyang Wen, Ying Lin, Tuan Manh Lai, Xiaoman Pan, Sha Li, Xudong Lin, Ben Zhou, Manling Li, Haoyu Wang, Hongming Zhang, Xiaodong Yu, Alexander Dong, Zhenhailong Wang, Yi Ren Fung, Piyush Mishra, Qing Lyu, Ddac Surs, Brian Chen, Susan Windisch Brown, Martha Palmer, Chris Callison-Burch, Carl Vondrick, Jiawei Han, Dan Roth, Shih-Fu Chang, Heng Ji |
| 2021 | NAACL | Event Time Extraction and Propagation via Graph Attention Networks. | Haoyang Wen, Yanru Qu, Heng Ji, Qiang Ning, Jiawei Han, Avi Sil, Hanghang Tong, Dan Roth |
| 2021 | NAACL | Learning to Decompose and Organize Complex Tasks. | Yi Zhang, Sujay Kumar Jauhar, Julia Kiseleva, Ryen White, Dan Roth |
| 2021 | NAACL | Temporal Reasoning on Implicit Events from Distant Supervision. | Ben Zhou, Kyle Richardson, Qiang Ning, Tushar Khot, Ashish Sabharwal, Dan Roth |
| 2020 | AAAI | Robust Named Entity Recognition with Truecasing Pretraining. | Stephen Mayhew, Nitish Gupta, Dan Roth |
| 2020 | ACL | Not All Claims are Created Equal: Choosing the Right Statistical Approach to Assess Hypotheses. | Erfan Sadeqi Azer, Daniel Khashabi, Ashish Sabharwal, Dan Roth |
| 2020 | ACL | QuASE: Question-Answer Driven Sentence Encoding. | Hangfeng He, Qiang Ning, Dan Roth |
| 2020 | ACL | Commonsense Reasoning for Natural Language Processing. | Maarten Sap, Vered Shwartz, Antoine Bosselut, Yejin Choi, Dan Roth |
| 2020 | ACL | "Who said it, and Why?" Provenance for Natural Language Claims. | Yi Zhang, Zachary G. Ives, Dan Roth |
| 2020 | ACL | Temporal Common Sense Acquisition with Minimal Supervision. | Ben Zhou, Qiang Ning, Daniel Khashabi, Dan Roth |
| 2020 | COLING | Is Killed More Significant than Fled? A Contextual Model for Salient Event Detection. | Disha Jindal, Daniel Deutsch, Dan Roth |
| 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 | CoNLL | What Are You Trying to Do? Semantic Typing of Event Processes. | Muhao Chen, Hongming Zhang, Haoyu Wang, Dan Roth |
| 2020 | EMNLP | Do Language Embeddings capture Scales? | Xikun Zhang, Deepak Ramachandran, Ian Tenney, Yanai Elazar, Dan Roth |
| 2020 | EMNLP | Design Challenges in Low-resource Cross-lingual Entity Linking. | Xingyu Fu, Weijia Shi, Xiaodong Yu, Zian Zhao, Dan Roth |
| 2020 | EMNLP | Pruning Redundant Mappings in Transformer Models via Spectral-Normalized Identity Prior. | Zi Lin, Jeremiah Z. Liu, Zi Yang, Nan Hua, Dan Roth |
| 2020 | EMNLP | "I'd rather just go to bed": Understanding Indirect Answers. | Annie Louis, Dan Roth, Filip Radlinski |
| 2020 | EMNLP | TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions. | Qiang Ning, Hao Wu, Rujun Han, Nanyun Peng, Matt Gardner, Dan Roth |
| 2020 | EMNLP | What do we expect from Multiple-choice QA Systems? | Krunal Shah, Nitish Gupta, Dan Roth |
| 2020 | EMNLP | Joint Constrained Learning for Event-Event Relation Extraction. | Haoyu Wang, Muhao Chen, Hongming Zhang, Dan Roth |
| 2020 | EMNLP | Extending Multilingual BERT to Low-Resource Languages. | Zihan Wang, Karthikeyan K, Stephen Mayhew, Dan Roth |
| 2020 | EMNLP | Analogous Process Structure Induction for Sub-event Sequence Prediction. | Hongming Zhang, Muhao Chen, Haoyu Wang, Yangqiu Song, Dan Roth |
| 2020 | ICLR | Neural Module Networks for Reasoning over Text. | Nitish Gupta, Kevin Lin, Dan Roth, Sameer Singh, Matt Gardner |
| 2020 | ICLR | Cross-Lingual Ability of Multilingual BERT: An Empirical Study. | Karthikeyan K, Zihan Wang, Stephen Mayhew, Dan Roth |
| 2020 | IJCAI | TransOMCS: From Linguistic Graphs to Commonsense Knowledge. | Hongming Zhang, Daniel Khashabi, Yangqiu Song, Dan Roth |
| 2020 | LREC | Understanding Spatial Relations through Multiple Modalities. | Soham Dan, Hangfeng He, Dan Roth |
| 2020 | LREC | From Spatial Relations to Spatial Configurations. | Soham Dan, Parisa Kordjamshidi, Julia Bonn, Archna Bhatia, Zheng Cai, Martha Palmer, Dan Roth |
| 2019 | ACL | PerspectroScope: A Window to the World of Diverse Perspectives. | Sihao Chen, Daniel Khashabi, Chris Callison-Burch, Dan Roth |
| 2019 | ACL | How Large Are Lions? Inducing Distributions over Quantitative Attributes. | Yanai Elazar, Abhijit Mahabal, Deepak Ramachandran, Tania Bedrax-Weiss, Dan Roth |
| 2019 | ACL | Evidence-based Trustworthiness. | Yi Zhang, Zachary G. Ives, Dan Roth |
| 2019 | CoNLL | A General-Purpose Algorithm for Constrained Sequential Inference. | Daniel Deutsch, Shyam Upadhyay, Dan Roth |
| 2019 | CoNLL | Named Entity Recognition with Partially Annotated Training Data. | Stephen Mayhew, Snigdha Chaturvedi, Chen-Tse Tsai, Dan Roth |
| 2019 | CoNLL | KnowSemLM: A Knowledge Infused Semantic Language Model. | Haoruo Peng, Qiang Ning, Dan Roth |
| 2019 | CoNLL | Evidence Sentence Extraction for Machine Reading Comprehension. | Hai Wang, Dian Yu, Kai Sun, Jianshu Chen, Dong Yu, David A. McAllester, Dan Roth |
| 2019 | EMNLP | Summary Cloze: A New Task for Content Selection in Topic-Focused Summarization. | Daniel Deutsch, Dan Roth |
| 2019 | EMNLP | ner and pos when nothing is capitalized. | Stephen Mayhew, Tatiana Tsygankova, Dan Roth |
| 2019 | EMNLP | An Improved Neural Baseline for Temporal Relation Extraction. | Qiang Ning, Sanjay Subramanian, Dan Roth |
| 2019 | EMNLP | Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach. | Wenpeng Yin, Jamaal Hay, Dan Roth |
| 2019 | EMNLP | "Going on a vacation" takes longer than "Going for a walk": A Study of Temporal Commonsense Understanding. | Ben Zhou, Daniel Khashabi, Qiang Ning, Dan Roth |
| 2019 | IJCAI | Randomized Greedy Search for Structured Prediction: Amortized Inference and Learning. | Chao Ma, F. A. Rezaur Rahman Chowdhury, Aryan Deshwal, Md. Rakibul Islam, Janardhan Rao Doppa, Dan Roth |
| 2019 | IJCAI | Learning and Inference for Structured Prediction: A Unifying Perspective. | Aryan Deshwal, Janardhan Rao Doppa, Dan Roth |
| 2019 | LAK | DiAd: Domain Adaptation for Learning at Scale. | Ziheng Zeng, Snigdha Chaturvedi, Suma Bhat, Dan Roth |
| 2019 | NAACL | Seeing Things from a Different Angle: Discovering Diverse Perspectives about Claims. | Sihao Chen, Daniel Khashabi, Wenpeng Yin, Chris Callison-Burch, Dan Roth |
| 2019 | NAACL | Text Classification with Few Examples using Controlled Generalization. | Abhijit Mahabal, Jason Baldridge, Burcu Karagol Ayan, Vincent Perot, Dan Roth |
| 2019 | NAACL | Partial Or Complete, That's The Question. | Qiang Ning, Hangfeng He, Chuchu Fan, Dan Roth |
| 2018 | AAAI | Question Answering as Global Reasoning Over Semantic Abstractions. | Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Dan Roth |
| 2018 | AAAI | Learning Better Name Translation for Cross-Lingual Wikification. | Chen-Tse Tsai, Dan Roth |
| 2018 | ACL | TALEN: Tool for Annotation of Low-resource ENtities. | Stephen Mayhew, Dan Roth |
| 2018 | ACL | A Distributional and Orthographic Aggregation Model for English Derivational Morphology. | Daniel Deutsch, John Hewitt, Dan Roth |
| 2018 | ACL | A Multi-Axis Annotation Scheme for Event Temporal Relations. | Qiang Ning, Hao Wu, Dan Roth |
| 2018 | ACL | Joint Reasoning for Temporal and Causal Relations. | Qiang Ning, Zhili Feng, Hao Wu, Dan Roth |
| 2018 | ACL | Multi-lingual Entity Discovery and Linking. | Avirup Sil, Heng Ji, Dan Roth, Silviu-Petru Cucerzan |
| 2018 | ACL | End-Task Oriented Textual Entailment via Deep Explorations of Inter-Sentence Interactions. | Wenpeng Yin, Dan Roth, Hinrich Schtze |
| 2018 | COLING | Gold Standard Annotations for Preposition and Verb Sense with Semantic Role Labels in Adult-Child Interactions. | Lori Moon, Christos Christodoulopoulos, Cynthia Fisher, Sandra Franco, Dan Roth |
| 2018 | EMNLP | TwoWingOS: A Two-Wing Optimization Strategy for Evidential Claim Verification. | Wenpeng Yin, Dan Roth |
| 2018 | EMNLP | CogCompTime: A Tool for Understanding Time in Natural Language. | Qiang Ning, Ben Zhou, Zhili Feng, Haoruo Peng, Dan Roth |
| 2018 | EMNLP | Joint Multilingual Supervision for Cross-lingual Entity Linking. | Shyam Upadhyay, Nitish Gupta, Dan Roth |
| 2018 | EMNLP | Bootstrapping Transliteration with Guided Discovery for Low-Resource Languages. | Shyam Upadhyay, Jordan Kodner, Dan Roth |
| 2018 | EMNLP | On the Strength of Character Language Models for Multilingual Named Entity Recognition. | Xiaodong Yu, Stephen Mayhew, Mark Sammons, Dan Roth |
| 2018 | EMNLP | Zero-Shot Open Entity Typing as Type-Compatible Grounding. | Ben Zhou, Daniel Khashabi, Chen-Tse Tsai, Dan Roth |
| 2018 | IJCAI | Systems AI: A Declarative Learning Based Programming Perspective. | Parisa Kordjamshidi, Dan Roth, Kristian Kersting |
| 2018 | LREC | CogCompNLP: Your Swiss Army Knife for NLP. | Daniel Khashabi, Mark Sammons, Ben Zhou, Tom Redman, Christos Christodoulopoulos, Vivek Srikumar, Nicholas Rizzolo, Lev-Arie Ratinov, Guanheng Luo, Quang Do, Chen-Tse Tsai, Subhro Roy, Stephen Mayhew, Zhili Feng, John Wieting, Xiaodong Yu, Yangqiu Song, Shashank Gupta, Shyam Upadhyay, Naveen Arivazhagan, Qiang Ning, Shaoshi Ling, Dan Roth |
| 2018 | NAACL | Where Have I Heard This Story Before? Identifying Narrative Similarity in Movie Remakes. | Snigdha Chaturvedi, Shashank Srivastava, Dan Roth |
| 2018 | NAACL | Looking Beyond the Surface: A Challenge Set for Reading Comprehension over Multiple Sentences. | Daniel Khashabi, Snigdha Chaturvedi, Michael Roth, Shyam Upadhyay, Dan Roth |
| 2018 | NAACL | Improving Temporal Relation Extraction with a Globally Acquired Statistical Resource. | Qiang Ning, Hao Wu, Haoruo Peng, Dan Roth |
| 2018 | NAACL | Robust Cross-Lingual Hypernymy Detection Using Dependency Context. | Shyam Upadhyay, Yogarshi Vyas, Marine Carpuat, Dan Roth |
| 2017 | AAAI | Active Preference Elicitation for Planning. | Mayukh Das, Md. Rakibul Islam, Janardhan Rao Doppa, Dan Roth, Sriraam Natarajan |
| 2017 | AAAI | Incidental Supervision: Moving beyond Supervised Learning. | Dan Roth |
| 2017 | AAAI | Unit Dependency Graph and Its Application to Arithmetic Word Problem Solving. | Subhro Roy, Dan Roth |
| 2017 | ACL | Towards Problem Solving Agents that Communicate and Learn. | Anjali Narayan-Chen, Colin Graber, Mayukh Das, Md. Rakibul Islam, Soham Dan, Sriraam Natarajan, Janardhan Rao Doppa, Julia Hockenmaier, Martha Palmer, Dan Roth |
| 2017 | CoNLL | Learning What is Essential in Questions. | Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Dan Roth |
| 2017 | CoNLL | A Joint Model for Semantic Sequences: Frames, Entities, Sentiments. | Haoruo Peng, Snigdha Chaturvedi, Dan Roth |
| 2017 | EACL | A Consolidated Open Knowledge Representation for Multiple Texts. | Rachel Wities, Vered Shwartz, Gabriel Stanovsky, Meni Adler, Ori Shapira, Shyam Upadhyay, Dan Roth, Eugenio Martnez-Cmara, Iryna Gurevych, Ido Dagan |
| 2017 | EMNLP | Story Comprehension for Predicting What Happens Next. | Snigdha Chaturvedi, Haoruo Peng, Dan Roth |
| 2017 | EMNLP | Entity Linking via Joint Encoding of Types, Descriptions, and Context. | Nitish Gupta, Sameer Singh, Dan Roth |
| 2017 | EMNLP | Cheap Translation for Cross-Lingual Named Entity Recognition. | Stephen Mayhew, Chen-Tse Tsai, Dan Roth |
| 2017 | EMNLP | A Structured Learning Approach to Temporal Relation Extraction. | Qiang Ning, Zhili Feng, Dan Roth |
| 2016 | AAAI | Labeling the Semantic Roles of Commas. | Naveen Arivazhagan, Christos Christodoulopoulos, Dan Roth |
| 2016 | ACL | Word Embeddings with Limited Memory. | Shaoshi Ling, Yangqiu Song, Dan Roth |
| 2016 | ACL | Two Discourse Driven Language Models for Semantics. | Haoruo Peng, Dan Roth |
| 2016 | ACL | Grammatical Error Correction: Machine Translation and Classifiers. | Alla Rozovskaya, Dan Roth |
| 2016 | ACL | Cross-lingual Models of Word Embeddings: An Empirical Comparison. | Shyam Upadhyay, Manaal Faruqui, Chris Dyer, Dan Roth |
| 2016 | COLING | Better call Saul: Flexible Programming for Learning and Inference in NLP. | Parisa Kordjamshidi, Daniel Khashabi, Christos Christodoulopoulos, Bhargav Mangipudi, Sameer Singh, Dan Roth |
| 2016 | COLING | Illinois Cross-Lingual Wikifier: Grounding Entities in Many Languages to the English Wikipedia. | Chen-Tse Tsai, Dan Roth |
| 2016 | COLING | Revisiting the Evaluation for Cross Document Event Coreference. | Shyam Upadhyay, Nitish Gupta, Christos Christodoulopoulos, Dan Roth |
| 2016 | CoNLL | Cross-Lingual Named Entity Recognition via Wikification. | Chen-Tse Tsai, Stephen Mayhew, Dan Roth |
| 2016 | EMNLP | Event Detection and Co-reference with Minimal Supervision. | Haoruo Peng, Yangqiu Song, Dan Roth |
| 2016 | EMNLP | Equation Parsing : Mapping Sentences to Grounded Equations. | Subhro Roy, Shyam Upadhyay, Dan Roth |
| 2016 | ICDM | Will I Get in? Modeling the Graduate Admission Process for American Universities. | Narender Gupta, Aman Sawhney, Dan Roth |
| 2016 | IJCAI | Question Answering via Integer Programming over Semi-Structured Knowledge. | Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Peter Clark, Oren Etzioni, Dan Roth |
| 2016 | IJCAI | Cross-Lingual Dataless Classification for Many Languages. | Yangqiu Song, Shyam Upadhyay, Haoruo Peng, Dan Roth |
| 2016 | LREC | EDISON: Feature Extraction for NLP, Simplified. | Mark Sammons, Christos Christodoulopoulos, Parisa Kordjamshidi, Daniel Khashabi, Vivek Srikumar, Dan Roth |
| 2016 | NAACL | Illinois Math Solver: Math Reasoning on the Web. | Subhro Roy, Dan Roth |
| 2016 | NAACL | Cross-lingual Wikification Using Multilingual Embeddings. | Chen-Tse Tsai, Dan Roth |
| 2016 | POPL | Learning invariants using decision trees and implication counterexamples. | Pranav Garg, Daniel Neider, P. Madhusudan, Dan Roth |
| 2016 | WWW | Entity Disambiguation with Linkless Knowledge Bases. | Yang Li, Shulong Tan, Huan Sun, Jiawei Han, Dan Roth, Xifeng Yan |
| 2015 | AAAI | Structural Learning with Amortized Inference. | Kai-Wei Chang, Shyam Upadhyay, Gourab Kundu, Dan Roth |
| 2015 | CoNLL | A Joint Framework for Coreference Resolution and Mention Head Detection. | Haoruo Peng, Kai-Wei Chang, Dan Roth |
| 2015 | CoNLL | Improving a Pipeline Architecture for Shallow Discourse Parsing. | Yangqiu Song, Haoruo Peng, Parisa Kordjamshidi, Mark Sammons, Dan Roth |
| 2015 | EMNLP | Joint Mention Extraction and Classification with Mention Hypergraphs. | Wei Lu, Dan Roth |
| 2015 | EMNLP | Solving General Arithmetic Word Problems. | Subhro Roy, Dan Roth |
| 2015 | ICML | Distributed Box-Constrained Quadratic Optimization for Dual Linear SVM. | Ching-Pei Lee, Dan Roth |
| 2015 | IJCAI | Saul: Towards Declarative Learning Based Programming. | Parisa Kordjamshidi, Dan Roth, Hao Wu |
| 2015 | IJCAI | Constrained Information-Theoretic Tripartite Graph Clustering to Identify Semantically Similar Relations. | Chenguang Wang, Yangqiu Song, Dan Roth, Chi Wang, Jiawei Han, Heng Ji, Ming Zhang |
| 2015 | KDD | Incorporating World Knowledge to Document Clustering via Heterogeneous Information Networks. | Chenguang Wang, Yangqiu Song, Ahmed El-Kishky, Dan Roth, Ming Zhang, Jiawei Han |
| 2015 | KDD | Debiasing Crowdsourced Batches. | Honglei Zhuang, Aditya G. Parameswaran, Dan Roth, Jiawei Han |
| 2015 | NAACL | Solving Hard Coreference Problems. | Haoruo Peng, Daniel Khashabi, Dan Roth |
| 2015 | NAACL | Unsupervised Sparse Vector Densification for Short Text Similarity. | Yangqiu Song, Dan Roth |
| 2015 | WWW | Visualization of Trustworthiness Graphs. | Stephen Mayhew, Dan Roth |
| 2014 | AAAI | On Dataless Hierarchical Text Classification. | Yangqiu Song, Dan Roth |
| 2014 | ACL | Wikification and Beyond: The Challenges of Entity and Concept Grounding. | Dan Roth, Heng Ji, Ming-Wei Chang, Taylor Cassidy |
| 2014 | CoNLL | The Illinois-Columbia System in the CoNLL-2014 Shared Task. | Alla Rozovskaya, Kai-Wei Chang, Mark Sammons, Dan Roth, Nizar Habash |
| 2014 | EACL | Correcting Grammatical Verb Errors. | Alla Rozovskaya, Dan Roth, Vivek Srikumar |
| 2014 | ICML | A Discriminative Latent Variable Model for Online Clustering. | Rajhans Samdani, Kai-Wei Chang, Dan Roth |
| 2014 | LREC | ILLINOISCLOUDNLP: Text Analytics Services in the Cloud. | Hao Wu, Zhiye Fei, Aaron Dai, Mark Sammons, Dan Roth, Stephen Mayhew |
| 2013 | ACL | Leveraging Domain-Independent Information in Semantic Parsing. | Dan Goldwasser, Dan Roth |
| 2013 | ACL | Margin-based Decomposed Amortized Inference. | Gourab Kundu, Vivek Srikumar, Dan Roth |
| 2013 | CIKM | Computational frameworks for semantic analysis and wikification: keynote abstract. | Dan Roth |
| 2013 | CIKM | Concept-based analysis of scientific literature. | Chen-Tse Tsai, Gourab Kundu, Dan Roth |
| 2013 | CoNLL | The University of Illinois System in the CoNLL-2013 Shared Task. | Alla Rozovskaya, Kai-Wei Chang, Mark Sammons, Dan Roth |
| 2013 | EMNLP | A Constrained Latent Variable Model for Coreference Resolution. | Kai-Wei Chang, Rajhans Samdani, Dan Roth |
| 2013 | EMNLP | Relational Inference for Wikification. | Xiao Cheng, Dan Roth |
| 2013 | EMNLP | Using Soft Constraints in Joint Inference for Clinical Concept Recognition. | Prateek Jindal, Dan Roth |
| 2013 | EMNLP | Joint Learning and Inference for Grammatical Error Correction. | Alla Rozovskaya, Dan Roth |
| 2013 | IJCAI | End-to-End Coreference Resolution for Clinical Narratives. | Prateek Jindal, Dan Roth |
| 2013 | KDD | Mining evidences for named entity disambiguation. | Yang Li, Chi Wang, Fangqiu Han, Jiawei Han, Dan Roth, Xifeng Yan |
| 2013 | KDD | Understanding evolution of research themes: a probabilistic generative model for citations. | Xiaolong Wang, Chengxiang Zhai, Dan Roth |
| 2013 | WWW | Latent credibility analysis. | Jeff Pasternack, Dan Roth |
| 2012 | ACL | Automatic Event Extraction with Structured Preference Modeling. | Wei Lu, Dan Roth |
| 2012 | CIKM | Unsupervised discovery of opposing opinion networks from forum discussions. | Yue Lu, Hongning Wang, ChengXiang Zhai, Dan Roth |
| 2012 | CIKM | BiasTrust: teaching biased users about controversial topics. | V. G. Vinod Vydiswaran, ChengXiang Zhai, Dan Roth, Peter Pirolli |
| 2012 | CogSci | New Frontiers in Computational Models of Grammatical Development. | Micah B. Goldwater, Scott E. Friedman, Dedre Gentner, Kenneth D. Forbus, Cynthia Fisher, Michael Connor, Dan Roth, Franklin Chang, Gary S. Dell |
| 2012 | COLING | Using Knowledge and Constraints To Find the Best Antecedent. | Prateek Jindal, Dan Roth |
| 2012 | CoNLL | Illinois-Coref: The UI System in the CoNLL-2012 Shared Task. | Kai-Wei Chang, Rajhans Samdani, Alla Rozovskaya, Mark Sammons, Dan Roth |
| 2012 | EMNLP | Joint Inference for Event Timeline Construction. | Quang Do, Wei Lu, Dan Roth |
| 2012 | EMNLP | A Discriminative Model for Query Spelling Correction with Latent Structural SVM. | Huizhong Duan, Yanen Li, ChengXiang Zhai, Dan Roth |
| 2012 | EMNLP | Learning-based Multi-Sieve Co-reference Resolution with Knowledge. | Lev-Arie Ratinov, Dan Roth |
| 2012 | EMNLP | On Amortizing Inference Cost for Structured Prediction. | Vivek Srikumar, Gourab Kundu, Dan Roth |
| 2012 | ICDM | Efficient Pattern-Based Time Series Classification on GPU. | Kai-Wei Chang, Biplab Deka, Wen-mei W. Hwu, Dan Roth |
| 2012 | ICML | Efficient Decomposed Learning for Structured Prediction. | Rajhans Samdani, Dan Roth |
| 2012 | LREC | An NLP Curator (or: How I Learned to Stop Worrying and Love NLP Pipelines). | James Clarke, Vivek Srikumar, Mark Sammons, Dan Roth |
| 2012 | NAACL | Predicting Structures in NLP: Constrained Conditional Models and Integer Linear Programming in NLP. | Dan Goldwasser, Vivek Srikumar, Dan Roth |
| 2012 | NAACL | Unified Expectation Maximization. | Rajhans Samdani, Ming-Wei Chang, Dan Roth |
| 2012 | NAACL | A Robust Shallow Temporal Reasoning System. | Ran Zhao, Quang Do, Dan Roth |
| 2011 | ACL | Exploiting Syntactico-Semantic Structures for Relation Extraction. | Yee Seng Chan, Dan Roth |
| 2011 | ACL | Confidence Driven Unsupervised Semantic Parsing. | Dan Goldwasser, Roi Reichart, James Clarke, Dan Roth |
| 2011 | ACL | Local and Global Algorithms for Disambiguation to Wikipedia. | Lev-Arie Ratinov, Dan Roth, Doug Downey, Mike Anderson |
| 2011 | ACL | Algorithm Selection and Model Adaptation for ESL Correction Tasks. | Alla Rozovskaya, Dan Roth |
| 2011 | CoNLL | Inference Protocols for Coreference Resolution. | Kai-Wei Chang, Rajhans Samdani, Alla Rozovskaya, Nick Rizzolo, Mark Sammons, Dan Roth |
| 2011 | CoNLL | Adapting Text instead of the Model: An Open Domain Approach. | Gourab Kundu, Dan Roth |
| 2011 | EMNLP | Minimally Supervised Event Causality Identification. | Quang Do, Yee Seng Chan, Dan Roth |
| 2011 | EMNLP | A Joint Model for Extended Semantic Role Labeling. | Vivek Srikumar, Dan Roth |
| 2011 | FUSION | Constrained conditional models for information fusion. | Gourab Kundu, Dan Roth, Rajhans Samdani |
| 2011 | FUSION | On Bayesian interpretation of fact-finding in information networks. | Dong Wang, Tarek F. Abdelzaher, Hossein Ahmadi, Jeff Pasternack, Dan Roth, Manish Gupta, Jiawei Han, Omid Fatemieh, Hieu Khac Le, Charu C. Aggarwal |
| 2011 | ICDM | Learning from Negative Examples in Set-Expansion. | Prateek Jindal, Dan Roth |
| 2011 | IJCAI | Online Latent Structure Training for Language Acquisition. | Michael Connor, Cynthia Fisher, Dan Roth |
| 2011 | IJCAI | Learning from Natural Instructions. | Dan Goldwasser, Dan Roth |
| 2011 | IJCAI | Making Better Informed Trust Decisions with Generalized Fact-Finding. | Jeff Pasternack, Dan Roth |
| 2011 | KDD | Selective block minimization for faster convergence of limited memory large-scale linear models. | Kai-Wei Chang, Dan Roth |
| 2011 | KDD | Content-driven trust propagation framework. | V. G. Vinod Vydiswaran, ChengXiang Zhai, Dan Roth |
| 2011 | WWW | Generalized fact-finding. | Jeff Pasternack, Dan Roth |
| 2010 | ACL | Starting from Scratch in Semantic Role Labeling. | Michael Connor, Yael Gertner, Cynthia Fisher, Dan Roth |
| 2010 | ACL | "Ask Not What Textual Entailment Can Do for You...". | Mark Sammons, V. G. Vinod Vydiswaran, Dan Roth |