Gabriel Stanovsky

Leveraging Digitized Newspapers to Collect Summarization Data in Low-Resource Languages EACL 2026 ScheMatiQ: From Research Question to Structured Data through Interactive Schema Discovery ACL 2026 Can LLMs Help Uncover Insights about LLMs? A Large-Scale, Evolving Literature Analysis of Frontier LLMs ACL 2025 More Documents, Same Length: Isolating the Challenge of Multiple Documents in RAG EMNLP 2025 Trust Me, I’m Wrong: LLMs Hallucinate with Certainty Despite Knowing the Answer EMNLP 2025 Time to Talk: LLM Agents for Asynchronous Group Communication in Mafia Games EMNLP 2025 ReliableEval: A Recipe for Stochastic LLM Evaluation via Method of Moments EMNLP 2025 PromptSuite: A Task-Agnostic Framework for Multi-Prompt Generation EMNLP 2025 DOVE: A Large-Scale Multi-Dimensional Predictions Dataset Towards Meaningful LLM Evaluation ACL 2025 In-Context Learning on a Budget: A Case Study in Token Classification NAACL 2025 The State and Fate of Summarization Datasets: A Survey NAACL 2025 Looking Beyond the Top-1: Transformers Determine Top Tokens in Order ICML 2025 Applying Intrinsic Debiasing on Downstream Tasks: Challenges and Considerations for Machine Translation EMNLP 2024 Navigating the Modern Evaluation Landscape: Considerations in Benchmarks and Frameworks for Large Language Models (LLMs) COLING 2024 Schema-Driven Information Extraction from Heterogeneous Tables EMNLP 2024 Do Zombies Understand? A Choose-Your-Own-Adventure Exploration of Machine Cognition ACL 2024 Leveraging Collection-Wide Similarities for Unsupervised Document Structure Extraction ACL 2024 K-QA: A Real-World Medical Q&A Benchmark ACL 2024 A Large-Scale Multilingual Study of Visual Constraints on Linguistic Selection of Descriptions EACL 2023 VASR: Visual Analogies of Situation Recognition AAAI 2023 Exploring the Impact of Training Data Distribution and Subword Tokenization on Gender Bias in Machine Translation AACL 2023 Are Layout-Infused Language Models Robust to Layout Distribution Shifts? A Case Study with Scientific Documents ACL 2023 Evaluating and Improving the Coreference Capabilities of Machine Translation Models EACL 2023 You Can Have Your Data and Balance It Too: Towards Balanced and Efficient Multilingual Models EACL 2023 Breaking Common Sense: WHOOPS! A Vision-and-Language Benchmark of Synthetic and Compositional Images ICCV 2023 Exploring the Impact of Training Data Distribution and Subword Tokenization on Gender Bias in Machine Translation IJCNLP 2023 On the Limitations of Dataset Balancing: The Lost Battle Against Spurious Correlations NAACL 2022 WinoGAViL: Gamified Association Benchmark to Challenge Vision-and-Language Models NIPS 2022 A Balanced Data Approach for Evaluating Cross-Lingual Transfer: Mapping the Linguistic Blood Bank NAACL 2022 “Covid vaccine is against Covid but Oxford vaccine is made at Oxford!” Semantic Interpretation of Proper Noun Compounds EMNLP 2022 GENIE: Toward Reproducible and Standardized Human Evaluation for Text Generation EMNLP 2022 A Computational Acquisition Model for Multimodal Word Categorization NAACL 2022 Collecting a Large-Scale Gender Bias Dataset for Coreference Resolution and Machine Translation EMNLP 2021 Data Efficient Masked Language Modeling for Vision and Language EMNLP 2021 Automated Extraction of Sentencing Decisions from Court Cases in the Hebrew Language EMNLP 2021 Cross-document Coreference Resolution over Predicted Mentions IJCNLP 2021 Realistic Evaluation Principles for Cross-document Coreference Resolution IJCNLP 2021 Realistic Evaluation Principles for Cross-document Coreference Resolution ACL 2021 Cross-document Coreference Resolution over Predicted Mentions ACL 2021 Automatic Generation of Contrast Sets from Scene Graphs: Probing the Compositional Consistency of GQA NAACL 2021 Process-Level Representation of Scientific Protocols with Interactive Annotation EACL 2021 Filling the Gaps in Ancient Akkadian Texts: A Masked Language Modelling Approach EMNLP 2021 Controlled Crowdsourcing for High-Quality QA-SRL Annotation ACL 2020 MOCHA: A Dataset for Training and Evaluating Generative Reading Comprehension Metrics EMNLP 2020 Gender Coreference and Bias Evaluation at WMT 2020 EMNLP 2020 Active Learning for Coreference Resolution using Discrete Annotation ACL 2020 The Right Tool for the Job: Matching Model and Instance Complexities ACL 2020 SemEval-2019 Task 10: Math Question Answering SEMEVAL 2019 Evaluating Gender Bias in Machine Translation ACL 2019 On the Limits of Learning to Actively Learn Semantic Representations CONLL 2019 DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs NAACL 2019 Evaluating Question Answering Evaluation EMNLP 2019 Y’all should read this! Identifying Plurality in Second-Person Personal Pronouns in English Texts EMNLP 2019 Semantics as a Foreign Language EMNLP 2018 Supervised Open Information Extraction NAACL 2018 Crowdsourcing Question-Answer Meaning Representations NAACL 2018 Spot the Odd Man Out: Exploring the Associative Power of Lexical Resources EMNLP 2018 Recognizing Mentions of Adverse Drug Reaction in Social Media Using Knowledge-Infused Recurrent Models EACL 2017 Integrating Deep Linguistic Features in Factuality Prediction over Unified Datasets ACL 2017 Modeling Extractive Sentence Intersection via Subtree Entailment COLING 2016 Porting an Open Information Extraction System from English to German EMNLP 2016 Annotating and Predicting Non-Restrictive Noun Phrase Modifications ACL 2016 Specifying and Annotating Reduced Argument Span Via QA-SRL ACL 2016 Creating a Large Benchmark for Open Information Extraction EMNLP 2016 Open IE as an Intermediate Structure for Semantic Tasks ACL 2015 Open IE as an Intermediate Structure for Semantic Tasks IJCNLP 2015