Benjamin Van Durme
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
212
Venues
24
Active years
2004–2026
Best venue rank
A*
Where they publish
- A*ACL55 papers
- A*EMNLP46 papers
- ANAACL29 papers
- AEACL15 papers
- A*AAAI14 papers
- A*SIGIR8 papers
- A*ICLR7 papers
- A*IJCAI6 papers
- BLREC4 papers
- A*CVPR4 papers
- BIJCNLP4 papers
- AECIR3 papers
- UnrankedICTIR2 papers
- BCOLING2 papers
- CICAIL2 papers
- A*ICML2 papers
- ACIKM2 papers
- A*ICCV1 paper
- BCogSci1 paper
- A*KDD1 paper
- BCoNLL1 paper
- MulticonferenceICASSP1 paper
- AInterspeech1 paper
- CASRU1 paper
Papers
212 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Can LLMs Identify Tax Abuse? | Andrew Blair-Stanek, Nils Holzenberger, Benjamin Van Durme |
| 2026 | AAAI | Language Models and Logic Programs for Trustworthy Tax Reasoning. | William Jurayj, Nils Holzenberger, Benjamin Van Durme |
| 2026 | AAAI | Bonsai: Interpretable Tree-Adaptive Grounded Reasoning. | Kate Sanders, Benjamin Van Durme |
| 2026 | ACL | WikiVideo: Article Generation from Multiple Videos. | Alexander Martin, Reno Kriz, William Gantt Walden, Kate Sanders, Hannah Recknor, Eugene Yang, Francis Ferraro, Benjamin Van Durme |
| 2026 | ACL | How Grounded is Wikipedia? A Study on Structured Evidential Support and Retrieval. | William Gantt Walden, Kathryn Ricci, Miriam Wanner, Zhengping Jiang, Chandler May, Rongkun Zhou, Benjamin Van Durme |
| 2026 | ACL | arXiv2Table: Toward Realistic Benchmarking and Evaluation for LLM-Based Literature-Review Table Generation. | Weiqi Wang, Jiefu Ou, Yangqiu Song, Benjamin Van Durme, Daniel Khashabi |
| 2026 | ECIR | Does Reasoning Make Search More Fair? Comparing Fairness in Reasoning and Non-reasoning Rerankers. | Saron Samuel, Benjamin Van Durme, Eugene Yang |
| 2026 | ICTIR | A Replicability Study of XTR. | Rohan Jha, Reno Kriz, Benjamin Van Durme |
| 2026 | ICTIR | Beyond Relevance: On the Relationship Between Retrieval and RAG Information Coverage. | Saron Samuel, Alexander Martin, Eugene Yang, Andrew Yates, Dawn Lawrie, Ian Soboroff, Laura Dietz, Benjamin Van Durme |
| 2026 | LREC | Synthetic Function Demonstrations Improve Generation in Low-Resource Programming Languages. | Nick McKenna, Xinnuo Xu, Jack Williams, Nicholas C. Wilson, Benjamin Van Durme, Christian Plitz |
| 2026 | SIGIR | Multi-Vector Index Compression in Any Modality. | Hanxiang Qin, Alexander Martin, Rohan Jha, Chunsheng Zuo, Reno Kriz, Benjamin Van Durme |
| 2026 | SIGIR | CoverageBench: Evaluating Information Coverage across Tasks and Domains. | Saron Samuel, Andrew Yates, Dawn J. Lawrie, Ian Soboroff, Trevor Adriaanse, Benjamin Van Durme, Eugene Yang |
| 2025 | AAAI | SELF-[IN]CORRECT: LLMs Struggle with Discriminating Self-Generated Responses. | Dongwei Jiang, Jingyu Zhang, Orion Weller, Nathaniel Weir, Benjamin Van Durme, Daniel Khashabi |
| 2025 | AAAI | WorldAPIs: The World Is Worth How Many APIs? A Thought Experiment. | Jiefu Ou, Arda Uzunoglu, Benjamin Van Durme, Daniel Khashabi |
| 2025 | ACL | LLM Agents for Coordinating Multi-User Information Gathering. | Harsh Jhamtani, Jacob Andreas, Benjamin Van Durme |
| 2025 | ACL | RATIONALYST: Pre-training Process-Supervision for Improving Reasoning. | Dongwei Jiang, Guoxuan Wang, Yining Lu, Andrew Wang, Jingyu Zhang, Chuyu Liu, Benjamin Van Durme, Daniel Khashabi |
| 2025 | ACL | Core: Robust Factual Precision with Informative Sub-Claim Identification. | Zhengping Jiang, Jingyu Zhang, Nathaniel Weir, Seth Ebner, Miriam Wanner, Kate Sanders, Daniel Khashabi, Anqi Liu, Benjamin Van Durme |
| 2025 | ACL | Is That Your Final Answer? Test-Time Scaling Improves Selective Question Answering. | William Jurayj, Jeffrey Cheng, Benjamin Van Durme |
| 2025 | COLING | ADAPTIVE IE: Investigating the Complementarity of Human-AI Collaboration to Adaptively Extract Information on-the-fly. | Ishani Mondal, Michelle Yuan, Anandhavelu Natarajan, Aparna Garimella, Francis Ferraro, Andrew Blair-Stanek, Benjamin Van Durme, Jordan Lee Boyd-Graber |
| 2025 | CVPR | MultiVENT 2.0: A Massive Multilingual Benchmark for Event-Centric Video Retrieval. | Reno Kriz, Kate Sanders, David Etter, Kenton Murray, Cameron Carpenter, Hannah Recknor, Jimena Guallar-Blasco, Alexander Martin, Eugene Yang, Benjamin Van Durme |
| 2025 | CVPR | Video-ColBERT: Contextualized Late Interaction for Text-to-Video Retrieval. | Arun V. Reddy, Alexander Martin, Eugene Yang, Andrew Yates, Kate Sanders, Kenton Murray, Reno Kriz, Celso M. de Melo, Benjamin Van Durme, Rama Chellappa |
| 2025 | ECIR | mFollowIR: A Multilingual Benchmark for Instruction Following in Retrieval. | Orion Weller, Benjamin Chang, Eugene Yang, Mahsa Yarmohammadi, Samuel Barham, Sean MacAvaney, Arman Cohan, Luca Soldaini, Benjamin Van Durme, Dawn J. Lawrie |
| 2025 | EMNLP | CLAIMCHECK: How Grounded are LLM Critiques of Scientific Papers? | Jiefu Ou, William Gantt Walden, Kate Sanders, Zhengping Jiang, Kaiser Sun, Jeffrey Cheng, William Jurayj, Miriam Wanner, Shaobo Liang, Candice Morgan, Seunghoon Han, Weiqi Wang, Chandler May, Hannah Recknor, Daniel Khashabi, Benjamin Van Durme |
| 2025 | EMNLP | DnDScore: Decontextualization and Decomposition for Factuality Verification in Long-Form Text Generation. | Miriam Wanner, Benjamin Van Durme, Mark Dredze |
| 2025 | EMNLP | Jailbreak Distillation: Renewable Safety Benchmarking. | Jingyu Zhang, Ahmed Elgohary, Xiawei Wang, A S. M. Iftekhar, Ahmed Magooda, Benjamin Van Durme, Daniel Khashabi, Kyle Jackson |
| 2025 | EMNLP | Certified Mitigation of Worst-Case LLM Copyright Infringement. | Jingyu Zhang, Jiacan Yu, Marc Marone, Benjamin Van Durme, Daniel Khashabi |
| 2025 | ICAIL | LLMs Provide Unstable Answers to Legal Questions. | Andrew Blair-Stanek, Benjamin Van Durme |
| 2025 | ICLR | Generative Adapter: Contextualizing Language Models in Parameters with A Single Forward Pass. | Tong Chen, Hao Fang, Patrick Xia, Xiaodong Liu, Benjamin Van Durme, Luke Zettlemoyer, Jianfeng Gao, Hao Cheng |
| 2025 | ICLR | Multi-Field Adaptive Retrieval. | Millicent Li, Tongfei Chen, Benjamin Van Durme, Patrick Xia |
| 2025 | ICLR | From Models to Microtheories: Distilling a Model's Topical Knowledge for Grounded Question-Answering. | Nathaniel Weir, Bhavana Dalvi Mishra, Orion Weller, Oyvind Tafjord, Sam Hornstein, Alexander Sabol, Peter A. Jansen, Benjamin Van Durme, Peter Clark |
| 2025 | ICLR | Promptriever: Instruction-Trained Retrievers Can Be Prompted Like Language Models. | Orion Weller, Benjamin Van Durme, Dawn J. Lawrie, Ashwin Paranjape, Yuhao Zhang, Jack Hessel |
| 2025 | ICLR | Controllable Safety Alignment: Inference-Time Adaptation to Diverse Safety Requirements. | Jingyu Zhang, Ahmed Elgohary, Ahmed Magooda, Daniel Khashabi, Benjamin Van Durme |
| 2025 | NAACL | CLERC: A Dataset for U. S. Legal Case Retrieval and Retrieval-Augmented Analysis Generation. | Abe Bohan Hou, Orion Weller, Guanghui Qin, Eugene Yang, Dawn J. Lawrie, Nils Holzenberger, Andrew Blair-Stanek, Benjamin Van Durme |
| 2025 | NAACL | MICE for CATs: Model-Internal Confidence Estimation for Calibrating Agents with Tools. | Nishant Subramani, Jason Eisner, Justin Svegliato, Benjamin Van Durme, Yu Su, Sam Thomson |
| 2025 | NAACL | FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions. | Orion Weller, Benjamin Chang, Sean MacAvaney, Kyle Lo, Arman Cohan, Benjamin Van Durme, Dawn J. Lawrie, Luca Soldaini |
| 2025 | NAACL | TurkingBench: A Challenge Benchmark for Web Agents. | Kevin Xu, Yeganeh Kordi, Tanay Nayak, Adi Asija, Yizhong Wang, Kate Sanders, Adam Byerly, Jingyu Zhang, Benjamin Van Durme, Daniel Khashabi |
| 2025 | NAACL | Verifiable by Design: Aligning Language Models to Quote from Pre-Training Data. | Jingyu Zhang, Marc Marone, Tianjian Li, Benjamin Van Durme, Daniel Khashabi |
| 2025 | SIGIR | RE-AdaptIR: Improving Information Retrieval through Reverse Engineered Adaptation. | William Fleshman, Benjamin Van Durme |
| 2024 | ACL | Do Androids Know They're Only Dreaming of Electric Sheep? | Sky CH-Wang, Benjamin Van Durme, Jason Eisner, Chris Kedzie |
| 2024 | ACL | LLM-Rubric: A Multidimensional, Calibrated Approach to Automated Evaluation of Natural Language Texts. | Helia Hashemi, Jason Eisner, Corby Rosset, Benjamin Van Durme, Chris Kedzie |
| 2024 | ACL | RORA: Robust Free-Text Rationale Evaluation. | Zhengping Jiang, Yining Lu, Hanjie Chen, Daniel Khashabi, Benjamin Van Durme, Anqi Liu |
| 2024 | ACL | Dodo: Dynamic Contextual Compression for Decoder-only LMs. | Guanghui Qin, Corby Rosset, Ethan C. Chau, Nikhil Rao, Benjamin Van Durme |
| 2024 | ACL | LLMs in the Imaginarium: Tool Learning through Simulated Trial and Error. | Boshi Wang, Hao Fang, Jason Eisner, Benjamin Van Durme, Yu Su |
| 2024 | CVPR | A Survey of Video Datasets for Grounded Event Understanding. | Kate Sanders, Benjamin Van Durme |
| 2024 | EACL | MultiMUC: Multilingual Template Filling on MUC-4. | William Gantt, Shabnam Behzad, Hannah Youngeun An, Yunmo Chen, Aaron Steven White, Benjamin Van Durme, Mahsa Yarmohammadi |
| 2024 | EACL | Localization vs. Semantics: Visual Representations in Unimodal and Multimodal Models. | Zhuowan Li, Cihang Xie, Benjamin Van Durme, Alan L. Yuille |
| 2024 | EACL | Defending Against Disinformation Attacks in Open-Domain Question Answering. | Orion Weller, Aleem Khan, Nathaniel Weir, Dawn J. Lawrie, Benjamin Van Durme |
| 2024 | EACL | NevIR: Negation in Neural Information Retrieval. | Orion Weller, Dawn J. Lawrie, Benjamin Van Durme |
| 2024 | EACL | When do Generative Query and Document Expansions Fail? A Comprehensive Study Across Methods, Retrievers, and Datasets. | Orion Weller, Kyle Lo, David Wadden, Dawn J. Lawrie, Benjamin Van Durme, Arman Cohan, Luca Soldaini |
| 2024 | EACL | "According to . . . ": Prompting Language Models Improves Quoting from Pre-Training Data. | Orion Weller, Marc Marone, Nathaniel Weir, Dawn J. Lawrie, Daniel Khashabi, Benjamin Van Durme |
| 2024 | EMNLP | Grounding Partially-Defined Events in Multimodal Data. | Kate Sanders, Reno Kriz, David Etter, Hannah Recknor, Alexander Martin, Cameron Carpenter, Jingyang Lin, Benjamin Van Durme |
| 2024 | EMNLP | TV-TREES: Multimodal Entailment Trees for Neuro-Symbolic Video Reasoning. | Kate Sanders, Nathaniel Weir, Benjamin Van Durme |
| 2024 | EMNLP | Language-to-Code Translation with a Single Labeled Example. | Kaj Bostrom, Harsh Jhamtani, Hao Fang, Sam Thomson, Richard Shin, Patrick Xia, Benjamin Van Durme, Jason Eisner, Jacob Andreas |
| 2024 | EMNLP | Learning to Retrieve Iteratively for In-Context Learning. | Yunmo Chen, Tongfei Chen, Harsh Jhamtani, Patrick Xia, Richard Shin, Jason Eisner, Benjamin Van Durme |
| 2024 | EMNLP | Enhancing Systematic Decompositional Natural Language Inference Using Informal Logic. | Nathaniel Weir, Kate Sanders, Orion Weller, Shreya Sharma, Dongwei Jiang, Zhengping Jiang, Bhavana Dalvi Mishra, Oyvind Tafjord, Peter A. Jansen, Peter Clark, Benjamin Van Durme |
| 2024 | EMNLP | Ontologically Faithful Generation of Non-Player Character Dialogues. | Nathaniel Weir, Ryan Thomas, Randolph D'Amore, Kellie Hill, Benjamin Van Durme, Harsh Jhamtani |
| 2024 | ICLR | Zero and Few-shot Semantic Parsing with Ambiguous Inputs. | Elias Stengel-Eskin, Kyle Rawlins, Benjamin Van Durme |
| 2024 | ICML | Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation. | Haoran Xu, Amr Sharaf, Yunmo Chen, Weiting Tan, Lingfeng Shen, Benjamin Van Durme, Kenton Murray, Young Jin Kim |
| 2024 | IJCAI | Natural Language Decomposition and Interpretation of Complex Utterances. | Harsh Jhamtani, Hao Fang, Patrick Xia, Eran Levy, Jacob Andreas, Benjamin Van Durme |
| 2024 | IJCAI | NELLIE: A Neuro-Symbolic Inference Engine for Grounded, Compositional, and Explainable Reasoning. | Nathaniel Weir, Peter Clark, Benjamin Van Durme |
| 2024 | NAACL | SemStamp: A Semantic Watermark with Paraphrastic Robustness for Text Generation. | Abe Bohan Hou, Jingyu Zhang, Tianxing He, Yichen Wang, Yung-Sung Chuang, Hongwei Wang, Lingfeng Shen, Benjamin Van Durme, Daniel Khashabi, Yulia Tsvetkov |
| 2024 | NAACL | Interpreting User Requests in the Context of Natural Language Standing Instructions. | Nikita Moghe, Patrick Xia, Jacob Andreas, Jason Eisner, Benjamin Van Durme, Harsh Jhamtani |
| 2024 | NAACL | Narrowing the Gap between Zero- and Few-shot Machine Translation by Matching Styles. | Weiting Tan, Haoran Xu, Lingfeng Shen, Shuyue Stella Li, Kenton Murray, Philipp Koehn, Benjamin Van Durme, Yunmo Chen |
| 2024 | NAACL | FAMuS: Frames Across Multiple Sources. | Siddharth Vashishtha, Alexander Martin, William Gantt, Benjamin Van Durme, Aaron Steven White |
| 2023 | ACL | Why Did the Chicken Cross the Road? Rephrasing and Analyzing Ambiguous Questions in VQA. | Elias Stengel-Eskin, Jimena Guallar-Blasco, Yi Zhou, Benjamin Van Durme |
| 2023 | ACL | Evaluating Paraphrastic Robustness in Textual Entailment Models. | Dhruv Verma, Yash Kumar Lal, Shreyashee Sinha, Benjamin Van Durme, Adam Poliak |
| 2023 | CVPR | Super-CLEVR: A Virtual Benchmark to Diagnose Domain Robustness in Visual Reasoning. | Zhuowan Li, Xingrui Wang, Elias Stengel-Eskin, Adam Kortylewski, Wufei Ma, Benjamin Van Durme, Alan L. Yuille |
| 2023 | EACL | Iterative Document-level Information Extraction via Imitation Learning. | Yunmo Chen, William Gantt, Weiwei Gu, Tongfei Chen, Aaron Steven White, Benjamin Van Durme |
| 2023 | EACL | The NLP Task Effectiveness of Long-Range Transformers. | Guanghui Qin, Yukun Feng, Benjamin Van Durme |
| 2023 | EMNLP | A Unified View of Evaluation Metrics for Structured Prediction. | Yunmo Chen, William Gantt, Tongfei Chen, Aaron Steven White, Benjamin Van Durme |
| 2023 | EMNLP | InstructExcel: A Benchmark for Natural Language Instruction in Excel. | Justin Payan, Swaroop Mishra, Mukul Singh, Carina Negreanu, Christian Plitz, Chitta Baral, Subhro Roy, Rasika Chakravarthy, Benjamin Van Durme, Elnaz Nouri |
| 2023 | EMNLP | Did You Mean...? Confidence-based Trade-offs in Semantic Parsing. | Elias Stengel-Eskin, Benjamin Van Durme |
| 2023 | EMNLP | When Do Decompositions Help for Machine Reading? | Kangda Wei, Dawn J. Lawrie, Benjamin Van Durme, Yunmo Chen, Orion Weller |
| 2023 | EMNLP | Condensing Multilingual Knowledge with Lightweight Language-Specific Modules. | Haoran Xu, Weiting Tan, Shuyue Stella Li, Yunmo Chen, Benjamin Van Durme, Philipp Koehn, Kenton Murray |
| 2023 | ICAIL | Can GPT-3 Perform Statutory Reasoning? | Andrew Blair-Stanek, Nils Holzenberger, Benjamin Van Durme |
| 2023 | ICML | Nugget: Neural Agglomerative Embeddings of Text. | Guanghui Qin, Benjamin Van Durme |
| 2022 | ACL | Guided K-best Selection for Semantic Parsing Annotation. | Anton Belyy, Chieh-Yang Huang, Jacob Andreas, Emmanouil Antonios Platanios, Sam Thomson, Richard Shin, Subhro Roy, Aleksandr Nisnevich, Charles Chen, Benjamin Van Durme |
| 2022 | ACL | Addressing Resource and Privacy Constraints in Semantic Parsing Through Data Augmentation. | Kevin Yang, Olivia Deng, Charles Chen, Richard Shin, Subhro Roy, Benjamin Van Durme |
| 2022 | ACL | Adapting Coreference Resolution Models through Active Learning. | Michelle Yuan, Patrick Xia, Chandler May, Benjamin Van Durme, Jordan L. Boyd-Graber |
| 2022 | EMNLP | Automatic Document Selection for Efficient Encoder Pretraining. | Yukun Feng, Patrick Xia, Benjamin Van Durme, Joo Sedoc |
| 2022 | EMNLP | An Empirical Study on Finding Spans. | Weiwei Gu, Boyuan Zheng, Yunmo Chen, Tongfei Chen, Benjamin Van Durme |
| 2022 | EMNLP | Calibrating Zero-shot Cross-lingual (Un-)structured Predictions. | Zhengping Jiang, Anqi Liu, Benjamin Van Durme |
| 2022 | EMNLP | The Curious Case of Control. | Elias Stengel-Eskin, Benjamin Van Durme |
| 2022 | EMNLP | When More Data Hurts: A Troubling Quirk in Developing Broad-Coverage Natural Language Understanding Systems. | Elias Stengel-Eskin, Emmanouil Antonios Platanios, Adam Pauls, Sam Thomson, Hao Fang, Benjamin Van Durme, Jason Eisner, Yu Su |
| 2022 | NAACL | Few-Shot Semantic Parsing with Language Models Trained on Code. | Richard Shin, Benjamin Van Durme |
| 2022 | NAACL | Pretrained Models for Multilingual Federated Learning. | Orion Weller, Marc Marone, Vladimir Braverman, Dawn J. Lawrie, Benjamin Van Durme |
| 2022 | NAACL | Visual Commonsense in Pretrained Unimodal and Multimodal Models. | Chenyu Zhang, Benjamin Van Durme, Zhuowan Li, Elias Stengel-Eskin |
| 2021 | ACL | Factoring Statutory Reasoning as Language Understanding Challenges. | Nils Holzenberger, Benjamin Van Durme |
| 2021 | EACL | LOME: Large Ontology Multilingual Extraction. | Patrick Xia, Guanghui Qin, Siddharth Vashishtha, Yunmo Chen, Tongfei Chen, Chandler May, Craig Harman, Kyle Rawlins, Aaron Steven White, Benjamin Van Durme |
| 2021 | ECIR | Complement Lexical Retrieval Model with Semantic Residual Embeddings. | Luyu Gao, Zhuyun Dai, Tongfei Chen, Zhen Fan, Benjamin Van Durme, Jamie Callan |
| 2021 | EMNLP | Constrained Language Models Yield Few-Shot Semantic Parsers. | Richard Shin, Christopher H. Lin, Sam Thomson, Charles Chen, Subhro Roy, Emmanouil Antonios Platanios, Adam Pauls, Dan Klein, Jason Eisner, Benjamin Van Durme |
| 2021 | EMNLP | Moving on from OntoNotes: Coreference Resolution Model Transfer. | Patrick Xia, Benjamin Van Durme |
| 2021 | EMNLP | BERT, mBERT, or BiBERT? A Study on Contextualized Embeddings for Neural Machine Translation. | Haoran Xu, Benjamin Van Durme, Kenton W. Murray |
| 2021 | EMNLP | Everything Is All It Takes: A Multipronged Strategy for Zero-Shot Cross-Lingual Information Extraction. | Mahsa Yarmohammadi, Shijie Wu, Marc Marone, Haoran Xu, Seth Ebner, Guanghui Qin, Yunmo Chen, Jialiang Guo, Craig Harman, Kenton Murray, Aaron Steven White, Mark Dredze, Benjamin Van Durme |
| 2021 | ICCV | Calibrating Concepts and Operations: Towards Symbolic Reasoning on Real Images. | Zhuowan Li, Elias Stengel-Eskin, Yixiao Zhang, Cihang Xie, Quan Tran, Benjamin Van Durme, Alan L. Yuille |
| 2020 | ACL | Script Induction as Association Rule Mining. | Anton Belyy, Benjamin Van Durme |
| 2020 | ACL | Hierarchical Entity Typing via Multi-level Learning to Rank. | Tongfei Chen, Yunmo Chen, Benjamin Van Durme |
| 2020 | ACL | Uncertain Natural Language Inference. | Tongfei Chen, Zhengping Jiang, Adam Poliak, Keisuke Sakaguchi, Benjamin Van Durme |
| 2020 | ACL | Multi-Sentence Argument Linking. | Seth Ebner, Patrick Xia, Ryan Culkin, Kyle Rawlins, Benjamin Van Durme |
| 2020 | ACL | Universal Decompositional Semantic Parsing. | Elias Stengel-Eskin, Aaron Steven White, Sheng Zhang, Benjamin Van Durme |
| 2020 | CogSci | Probing Neural Language Models for Human Tacit Assumptions. | Nathaniel Weir, Adam Poliak, Benjamin Van Durme |
| 2020 | EMNLP | Temporal Reasoning in Natural Language Inference. | Siddharth Vashishtha, Adam Poliak, Yash Kumar Lal, Benjamin Van Durme, Aaron Steven White |
| 2020 | EMNLP | Causal Inference of Script Knowledge. | Noah Weber, Rachel Rudinger, Benjamin Van Durme |
| 2020 | EMNLP | COD3S: Diverse Generation with Discrete Semantic Signatures. | Nathaniel Weir, Joo Sedoc, Benjamin Van Durme |
| 2020 | EMNLP | Incremental Neural Coreference Resolution in Constant Memory. | Patrick Xia, Joo Sedoc, Benjamin Van Durme |
| 2020 | EMNLP | Which *BERT? A Survey Organizing Contextualized Encoders. | Patrick Xia, Shijie Wu, Benjamin Van Durme |
| 2020 | EMNLP | Interactive Refinement of Cross-Lingual Word Embeddings. | Michelle Yuan, Mozhi Zhang, Benjamin Van Durme, Leah Findlater, Jordan L. Boyd-Graber |
| 2020 | IJCAI | Guided Generation of Cause and Effect. | Zhongyang Li, Xiao Ding, Ting Liu, J. Edward Hu, Benjamin Van Durme |
| 2020 | KDD | A Dataset for Statutory Reasoning in Tax Law Entailment and Question Answering. | Nils Holzenberger, Andrew Blair-Stanek, Benjamin Van Durme |
| 2020 | LREC | The Universal Decompositional Semantics Dataset and Decomp Toolkit. | Aaron Steven White, Elias Stengel-Eskin, Siddharth Vashishtha, Venkata Subrahmanyan Govindarajan, Dee Ann Reisinger, Tim Vieira, Keisuke Sakaguchi, Sheng Zhang, Francis Ferraro, Rachel Rudinger, Kyle Rawlins, Benjamin Van Durme |
| 2019 | AAAI | PARABANK: Monolingual Bitext Generation and Sentential Paraphrasing via Lexically-Constrained Neural Machine Translation. | J. Edward Hu, Rachel Rudinger, Matt Post, Benjamin Van Durme |
| 2019 | AAAI | Predicting the Argumenthood of English Prepositional Phrases. | Najoung Kim, Kyle Rawlins, Benjamin Van Durme, Paul Smolensky |
| 2019 | ACL | Don't Take the Premise for Granted: Mitigating Artifacts in Natural Language Inference. | Yonatan Belinkov, Adam Poliak, Stuart M. Shieber, Benjamin Van Durme, Alexander M. Rush |
| 2019 | ACL | Learning to Rank for Plausible Plausibility. | Zhongyang Li, Tongfei Chen, Benjamin Van Durme |
| 2019 | ACL | Fine-Grained Temporal Relation Extraction. | Siddharth Vashishtha, Benjamin Van Durme, Aaron Steven White |
| 2019 | ACL | Can You Tell Me How to Get Past Sesame Street? Sentence-Level Pretraining Beyond Language Modeling. | Alex Wang, Jan Hula, Patrick Xia, Raghavendra Pappagari, R. Thomas McCoy, Roma Patel, Najoung Kim, Ian Tenney, Yinghui Huang, Katherin Yu, Shuning Jin, Berlin Chen, Benjamin Van Durme, Edouard Grave, Ellie Pavlick, Samuel R. Bowman |
| 2019 | ACL | AMR Parsing as Sequence-to-Graph Transduction. | Sheng Zhang, Xutai Ma, Kevin Duh, Benjamin Van Durme |
| 2019 | CoNLL | Large-Scale, Diverse, Paraphrastic Bitexts via Sampling and Clustering. | J. Edward Hu, Abhinav Singh, Nils Holzenberger, Matt Post, Benjamin Van Durme |
| 2019 | EMNLP | A Discriminative Neural Model for Cross-Lingual Word Alignment. | Elias Stengel-Eskin, Tzu-Ray Su, Matt Post, Benjamin Van Durme |
| 2019 | EMNLP | Broad-Coverage Semantic Parsing as Transduction. | Sheng Zhang, Xutai Ma, Kevin Duh, Benjamin Van Durme |
| 2019 | ICLR | What do you learn from context? Probing for sentence structure in contextualized word representations. | Ian Tenney, Patrick Xia, Berlin Chen, Alex Wang, Adam Poliak, R. Thomas McCoy, Najoung Kim, Benjamin Van Durme, Samuel R. Bowman, Dipanjan Das, Ellie Pavlick |
| 2019 | NAACL | Improved Lexically Constrained Decoding for Translation and Monolingual Rewriting. | J. Edward Hu, Huda Khayrallah, Ryan Culkin, Patrick Xia, Tongfei Chen, Matt Post, Benjamin Van Durme |
| 2018 | ACL | Efficient Online Scalar Annotation with Bounded Support. | Keisuke Sakaguchi, Benjamin Van Durme |
| 2018 | EMNLP | Collecting Diverse Natural Language Inference Problems for Sentence Representation Evaluation. | Adam Poliak, Aparajita Haldar, Rachel Rudinger, J. Edward Hu, Ellie Pavlick, Aaron Steven White, Benjamin Van Durme |
| 2018 | EMNLP | Collecting Diverse Natural Language Inference Problems for Sentence Representation Evaluation. | Adam Poliak, Aparajita Haldar, Rachel Rudinger, J. Edward Hu, Ellie Pavlick, Aaron Steven White, Benjamin Van Durme |
| 2018 | EMNLP | Neural-Davidsonian Semantic Proto-role Labeling. | Rachel Rudinger, Adam R. Teichert, Ryan Culkin, Sheng Zhang, Benjamin Van Durme |
| 2018 | EMNLP | Lexicosyntactic inference in neural models. | Aaron Steven White, Rachel Rudinger, Kyle Rawlins, Benjamin Van Durme |
| 2018 | EMNLP | Cross-lingual Decompositional Semantic Parsing. | Sheng Zhang, Xutai Ma, Rachel Rudinger, Kevin Duh, Benjamin Van Durme |
| 2018 | NAACL | On the Evaluation of Semantic Phenomena in Neural Machine Translation Using Natural Language Inference. | Adam Poliak, Yonatan Belinkov, James R. Glass, Benjamin Van Durme |
| 2018 | NAACL | Gender Bias in Coreference Resolution. | Rachel Rudinger, Jason Naradowsky, Brian Leonard, Benjamin Van Durme |
| 2018 | NAACL | Neural Models of Factuality. | Rachel Rudinger, Aaron Steven White, Benjamin Van Durme |
| 2018 | SIGIR | Neural Variational Entity Set Expansion for Automatically Populated Knowledge Graphs. | Pushpendre Rastogi, Adam Poliak, Vince Lyzinski, Benjamin Van Durme |
| 2018 | SIGIR | A Test Collection for Coreferent Mention Retrieval. | Rashmi Sankepally, Tongfei Chen, Benjamin Van Durme, Douglas W. Oard |
| 2018 | SIGIR | Summarizing Entities using Distantly Supervised Information Extractors. | Travis Wolfe, Annabelle Carrell, Mark Dredze, Benjamin Van Durme |
| 2017 | AAAI | Robsut Wrod Reocginiton via Semi-Character Recurrent Neural Network. | Keisuke Sakaguchi, Kevin Duh, Matt Post, Benjamin Van Durme |
| 2017 | AAAI | Semantic Proto-Role Labeling. | Adam R. Teichert, Adam Poliak, Benjamin Van Durme, Matthew Gormley |
| 2017 | ACL | Bayesian Modeling of Lexical Resources for Low-Resource Settings. | Nicholas Andrews, Mark Dredze, Benjamin Van Durme, Jason Eisner |
| 2017 | ACL | Error-repair Dependency Parsing for Ungrammatical Texts. | Keisuke Sakaguchi, Matt Post, Benjamin Van Durme |
| 2017 | ACL | Pocket Knowledge Base Population. | Travis Wolfe, Mark Dredze, Benjamin Van Durme |
| 2017 | EACL | MT/IE: Cross-lingual Open Information Extraction with Neural Sequence-to-Sequence Models. | Sheng Zhang, Kevin Duh, Benjamin Van Durme |
| 2017 | EACL | Discriminative Information Retrieval for Question Answering Sentence Selection. | Tongfei Chen, Benjamin Van Durme |
| 2017 | EACL | Efficient, Compositional, Order-sensitive n-gram Embeddings. | Adam Poliak, Pushpendre Rastogi, M. Patrick Martin, Benjamin Van Durme |
| 2017 | EACL | The Semantic Proto-Role Linking Model. | Aaron Steven White, Kyle Rawlins, Benjamin Van Durme |
| 2017 | EACL | Explaining and Generalizing Skip-Gram through Exponential Family Principal Component Analysis. | Ryan Cotterell, Adam Poliak, Benjamin Van Durme, Jason Eisner |
| 2017 | IJCNLP | CADET: Computer Assisted Discovery Extraction and Translation. | Benjamin Van Durme, Tom Lippincott, Kevin Duh, Deana Burchfield, Adam Poliak, Cash Costello, Tim Finin, Scott Miller, James Mayfield, Philipp Koehn, Craig Harman, Dawn J. Lawrie, Chandler May, Max Thomas, Annabelle Carrell, Julianne Chaloux, Tongfei Chen, Alex Comerford, Mark Dredze, Benjamin Glass, Shudong Hao, Patrick Martin, Pushpendre Rastogi, Rashmi Sankepally, Travis Wolfe, Ying-Ying Tran, Ted Zhang |
| 2017 | IJCNLP | Grammatical Error Correction with Neural Reinforcement Learning. | Keisuke Sakaguchi, Matt Post, Benjamin Van Durme |
| 2017 | IJCNLP | Inference is Everything: Recasting Semantic Resources into a Unified Evaluation Framework. | Aaron Steven White, Pushpendre Rastogi, Kevin Duh, Benjamin Van Durme |
| 2017 | IJCNLP | Selective Decoding for Cross-lingual Open Information Extraction. | Sheng Zhang, Kevin Duh, Benjamin Van Durme |
| 2017 | SIGIR | Predicting Asymmetric Transitive Relations in Knowledge Bases. | Pushpendre Rastogi, Benjamin Van Durme |
| 2017 | SIGIR | Training Relation Embeddings under Logical Constraints. | Pushpendre Rastogi, Adam Poliak, Benjamin Van Durme |
| 2016 | AAAI | A Unified Bayesian Model of Scripts, Frames and Language. | Francis Ferraro, Benjamin Van Durme |
| 2016 | AAAI | Microsummarization of Online Reviews: An Experimental Study. | Rebecca Mason, Benjamin Gaska, Benjamin Van Durme, Pallavi Choudhury, Ted Hart, Bill Dolan, Kristina Toutanova, Margaret Mitchell |
| 2016 | EMNLP | Fluency detection on communication networks. | Tom Lippincott, Benjamin Van Durme |
| 2016 | EMNLP | Universal Decompositional Semantics on Universal Dependencies. | Aaron Steven White, Dee Ann Reisinger, Keisuke Sakaguchi, Tim Vieira, Sheng Zhang, Rachel Rudinger, Kyle Rawlins, Benjamin Van Durme |
| 2016 | EMNLP | A Study of Imitation Learning Methods for Semantic Role Labeling. | Travis Wolfe, Mark Dredze, Benjamin Van Durme |
| 2015 | AAAI | Online Bayesian Models for Personal Analytics in Social Media. | Svitlana Volkova, Benjamin Van Durme |
| 2015 | ACL | Adding Semantics to Data-Driven Paraphrasing. | Ellie Pavlick, Johan Bos, Malvina Nissim, Charley Beller, Benjamin Van Durme, Chris Callison-Burch |
| 2015 | ACL | Domain-Specific Paraphrase Extraction. | Ellie Pavlick, Juri Ganitkevitch, Tsz Ping Chan, Xuchen Yao, Benjamin Van Durme, Chris Callison-Burch |
| 2015 | ACL | PPDB 2.0: Better paraphrase ranking, fine-grained entailment relations, word embeddings, and style classification. | Ellie Pavlick, Pushpendre Rastogi, Juri Ganitkevitch, Benjamin Van Durme, Chris Callison-Burch |
| 2015 | ACL | FrameNet+: Fast Paraphrastic Tripling of FrameNet. | Ellie Pavlick, Travis Wolfe, Pushpendre Rastogi, Chris Callison-Burch, Mark Dredze, Benjamin Van Durme |
| 2015 | EMNLP | Topic Identification and Discovery on Text and Speech. | Chandler May, Francis Ferraro, Alan McCree, Jonathan Wintrode, Daniel Garcia-Romero, Benjamin Van Durme |
| 2015 | EMNLP | Script Induction as Language Modeling. | Rachel Rudinger, Pushpendre Rastogi, Francis Ferraro, Benjamin Van Durme |
| 2015 | ICASSP | Segmental acoustic indexing for zero resource keyword search. | Keith D. Levin, Aren Jansen, Benjamin Van Durme |
| 2015 | NAACL | A Concrete Chinese NLP Pipeline. | Nanyun Peng, Francis Ferraro, Mo Yu, Nicholas Andrews, Jay DeYoung, Max Thomas, Matthew R. Gormley, Travis Wolfe, Craig Harman, Benjamin Van Durme, Mark Dredze |
| 2015 | NAACL | Multiview LSA: Representation Learning via Generalized CCA. | Pushpendre Rastogi, Benjamin Van Durme, Raman Arora |
| 2015 | NAACL | Social Media Predictive Analytics. | Svitlana Volkova, Benjamin Van Durme, David Yarowsky, Yoram Bachrach |
| 2015 | NAACL | Predicate Argument Alignment using a Global Coherence Model. | Travis Wolfe, Mark Dredze, Benjamin Van Durme |
| 2014 | ACL | Predicting Fine-grained Social Roles with Selectional Preferences. | Charley Beller, Craig Harman, Benjamin Van Durme |
| 2014 | ACL | I'm a Belieber: Social Roles via Self-identification and Conceptual Attributes. | Charley Beller, Rebecca Knowles, Craig Harman, Shane Bergsma, Margaret Mitchell, Benjamin Van Durme |
| 2014 | ACL | Biases in Predicting the Human Language Model. | Alex B. Fine, Austin F. Frank, T. Florian Jaeger, Benjamin Van Durme |
| 2014 | ACL | Low-Resource Semantic Role Labeling. | Matthew R. Gormley, Margaret Mitchell, Benjamin Van Durme, Mark Dredze |
| 2014 | ACL | Particle Filter Rejuvenation and Latent Dirichlet Allocation. | Chandler May, Alex Clemmer, Benjamin Van Durme |
| 2014 | ACL | Exponential Reservoir Sampling for Streaming Language Models. | Miles Osborne, Ashwin Lall, Benjamin Van Durme |
| 2014 | ACL | Inferring User Political Preferences from Streaming Communications. | Svitlana Volkova, Glen Coppersmith, Benjamin Van Durme |
| 2014 | ACL | Information Extraction over Structured Data: Question Answering with Freebase. | Xuchen Yao, Benjamin Van Durme |
| 2014 | LREC | A Wikipedia-based Corpus for Contextualized Machine Translation. | Jennifer Drexler, Pushpendre Rastogi, Jacqueline Aguilar, Benjamin Van Durme, Matt Post |
| 2013 | ACL | Using Conceptual Class Attributes to Characterize Social Media Users. | Shane Bergsma, Benjamin Van Durme |
| 2013 | ACL | PARMA: A Predicate Argument Aligner. | Travis Wolfe, Benjamin Van Durme, Mark Dredze, Nicholas Andrews, Charley Beller, Chris Callison-Burch, Jay DeYoung, Justin Snyder, Jonathan Weese, Tan Xu, Xuchen Yao |
| 2013 | ACL | Automatic Coupling of Answer Extraction and Information Retrieval. | Xuchen Yao, Benjamin Van Durme, Peter Clark |
| 2013 | ACL | A Lightweight and High Performance Monolingual Word Aligner. | Xuchen Yao, Benjamin Van Durme, Chris Callison-Burch, Peter Clark |
| 2013 | CIKM | Reporting bias and knowledge acquisition. | Jonathan Gordon, Benjamin Van Durme |
| 2013 | EMNLP | Open Domain Targeted Sentiment. | Margaret Mitchell, Jacqui Aguilar, Theresa Wilson, Benjamin Van Durme |
| 2013 | EMNLP | Semi-Markov Phrase-Based Monolingual Alignment. | Xuchen Yao, Benjamin Van Durme, Chris Callison-Burch, Peter Clark |
| 2013 | NAACL | Broadly Improving User Classification via Communication-Based Name and Location Clustering on Twitter. | Shane Bergsma, Mark Dredze, Benjamin Van Durme, Theresa Wilson, David Yarowsky |
| 2013 | NAACL | PPDB: The Paraphrase Database. | Juri Ganitkevitch, Benjamin Van Durme, Chris Callison-Burch |
| 2013 | NAACL | Answer Extraction as Sequence Tagging with Tree Edit Distance. | Xuchen Yao, Benjamin Van Durme, Chris Callison-Burch, Peter Clark |
| 2012 | ACL | Statistical Modality Tagging from Rule-based Annotations and Crowdsourcing. | Vinodkumar Prabhakaran, Michael Bloodgood, Mona T. Diab, Bonnie J. Dorr, Lori S. Levin, Christine D. Piatko, Owen Rambow, Benjamin Van Durme |
| 2012 | EMNLP | Streaming Analysis of Discourse Participants. | Benjamin Van Durme |
| 2012 | Interspeech | Indexing Raw Acoustic Features for Scalable Zero Resource Search. | Aren Jansen, Benjamin Van Durme |
| 2012 | NAACL | Shared Components Topic Models. | Matthew R. Gormley, Mark Dredze, Benjamin Van Durme, Jason Eisner |
| 2012 | NAACL | Space Efficiencies in Discourse Modeling via Conditional Random Sampling. | Brian Kjersten, Benjamin Van Durme |
| 2012 | NAACL | Annotated Gigaword. | Courtney Napoles, Matthew Gormley, Benjamin Van Durme |
| 2012 | NAACL | Expectations of Word Sense in Parallel Corpora. | Xuchen Yao, Benjamin Van Durme, Chris Callison-Burch |
| 2011 | ACL | Efficient Online Locality Sensitive Hashing via Reservoir Counting. | Benjamin Van Durme, Ashwin Lall |
| 2011 | ACL | Paraphrastic Sentence Compression with a Character-based Metric: Tightening without Deletion. | Courtney Napoles, Chris Callison-Burch, Juri Ganitkevitch, Benjamin Van Durme |
| 2011 | ACL | Evaluating Sentence Compression: Pitfalls and Suggested Remedies. | Courtney Napoles, Benjamin Van Durme, Chris Callison-Burch |
| 2011 | ASRU | Efficient spoken term discovery using randomized algorithms. | Aren Jansen, Benjamin Van Durme |
| 2011 | EMNLP | Learning Sentential Paraphrases from Bilingual Parallel Corpora for Text-to-Text Generation. | Juri Ganitkevitch, Chris Callison-Burch, Courtney Napoles, Benjamin Van Durme |
| 2011 | IJCAI | Learning Bilingual Lexicons Using the Visual Similarity of Labeled Web Images. | Shane Bergsma, Benjamin Van Durme |
| 2010 | AAAI | Learning from the Web: Extracting General World Knowledge from Noisy Text. | Jonathan Gordon, Benjamin Van Durme, Lenhart K. Schubert |
| 2010 | ACL | Online Generation of Locality Sensitive Hash Signatures. | Benjamin Van Durme, Ashwin Lall |
| 2010 | NAACL | Evaluation of Commonsense Knowledge with Mechanical Turk. | Jonathan Gordon, Benjamin Van Durme, Lenhart K. Schubert |
| 2009 | EACL | Deriving Generalized Knowledge from Corpora Using WordNet Abstraction. | Benjamin Van Durme, Phillip Michalak, Lenhart K. Schubert |
| 2009 | IJCAI | Probabilistic Counting with Randomized Storage. | Benjamin Van Durme, Ashwin Lall |
| 2009 | NAACL | Building a Semantic Lexicon of English Nouns via Bootstrapping. | Ting Qian, Benjamin Van Durme, Lenhart K. Schubert |
| 2008 | AAAI | Finding Cars, Goddesses and Enzymes: Parametrizable Acquisition of Labeled Instances for Open-Domain Information Extraction. | Benjamin Van Durme, Marius Pasca |
| 2008 | ACL | Mining Parenthetical Translations from the Web by Word Alignment. | Dekang Lin, Shaojun Zhao, Benjamin Van Durme, Marius Pasca |
| 2008 | ACL | Weakly-Supervised Acquisition of Open-Domain Classes and Class Attributes from Web Documents and Query Logs. | Marius Pasca, Benjamin Van Durme |
| 2008 | COLING | Class-Driven Attribute Extraction. | Benjamin Van Durme, Ting Qian, Lenhart K. Schubert |
| 2007 | CIKM | The role of documents vs. queries in extracting class attributes from text. | Marius Pasca, Benjamin Van Durme, Nikesh Garera |
| 2007 | IJCAI | What You Seek Is What You Get: Extraction of Class Attributes from Query Logs. | Marius Pasca, Benjamin Van Durme |
| 2004 | LREC | Pronominal Anaphora Resolution for Unrestricted Text. | Anna Kupsc, Teruko Mitamura, Benjamin Van Durme, Eric Nyberg |