conftrace_

Sewon Min

41 papers · 2017–2026 · 8 conferences · across top CS/AI conferences

Achievements

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+16 more ↓ 🌍 Conference Polyglot (7) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (8)
🏃 Academic Marathon (8) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🤝 Dynamic Duo (27) 👥 Mega-Team (30) 🏆 Grand Slam 🌱 Topic Pioneer 🔬 Deep Specialist (17) 🏆 Keyword Champion (2) 🗃️ Keyword Collector (147) The Questioner 💎 Century Club (40) 📈 Trend Setter 🔥 Unstoppable (9) Prolific Year (6) 🚀 Conference Pioneer

Conferences

ACL (13) EMNLP (13) NAACL (6) ICLR (5) AAAI (1) ICML (1) IJCNLP (1) NIPS (1)

Papers

DS SERVE: A Framework for Efficient and Scalable Neural Retrieval AAAI 2026 Organize the Web: Constructing Domains Enhances Pre-Training Data Curation ICML 2025 OLMoTrace: Tracing Language Model Outputs Back to Trillions of Training Tokens ACL 2025 A Novel Multi-Document Retrieval Benchmark: Journalist Source-Selection in Newswriting NAACL 2025 OLMoE: Open Mixture-of-Experts Language Models ICLR 2025 REPLUG: Retrieval-Augmented Black-Box Language Models NAACL 2024 Scaling Retrieval-Based Language Models with a Trillion-Token Datastore NIPS 2024 In-Context Pretraining: Language Modeling Beyond Document Boundaries ICLR 2024 CopyBench: Measuring Literal and Non-Literal Reproduction of Copyright-Protected Text in Language Model Generation EMNLP 2024 BTR: Binary Token Representations for Efficient Retrieval Augmented Language Models ICLR 2024 SILO Language Models: Isolating Legal Risk In a Nonparametric Datastore ICLR 2024 CREPE: Open-Domain Question Answering with False Presuppositions ACL 2023 Z-ICL: Zero-Shot In-Context Learning with Pseudo-Demonstrations ACL 2023 Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters ACL 2023 Retrieval-based Language Models and Applications ACL 2023 Nonparametric Masked Language Modeling ACL 2023 FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation EMNLP 2023 Measuring and Narrowing the Compositionality Gap in Language Models EMNLP 2023 FaVIQ: FAct Verification from Information-seeking Questions ACL 2022 Noisy Channel Language Model Prompting for Few-Shot Text Classification ACL 2022 Prompt Waywardness: The Curious Case of Discretized Interpretation of Continuous Prompts NAACL 2022 MetaICL: Learning to Learn In Context NAACL 2022 Zero- and Few-Shot NLP with Pretrained Language Models ACL 2022 Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? EMNLP 2022 Re-Examining Calibration: The Case of Question Answering EMNLP 2022 Exploring The Landscape of Distributional Robustness for Question Answering Models EMNLP 2022 Joint Passage Ranking for Diverse Multi-Answer Retrieval EMNLP 2021 RECONSIDER: Improved Re-Ranking using Span-Focused Cross-Attention for Open Domain Question Answering NAACL 2021 Beyond Paragraphs: NLP for Long Sequences NAACL 2021 Efficient One-Pass End-to-End Entity Linking for Questions EMNLP 2020 UNIFIEDQA: Crossing Format Boundaries with a Single QA System EMNLP 2020 AmbigQA: Answering Ambiguous Open-domain Questions EMNLP 2020 Dense Passage Retrieval for Open-Domain Question Answering EMNLP 2020 A Discrete Hard EM Approach for Weakly Supervised Question Answering IJCNLP 2019 Compositional Questions Do Not Necessitate Multi-hop Reasoning ACL 2019 A Discrete Hard EM Approach for Weakly Supervised Question Answering EMNLP 2019 Multi-hop Reading Comprehension through Question Decomposition and Rescoring ACL 2019 On Making Reading Comprehension More Comprehensive EMNLP 2019 Neural Speed Reading via Skim-RNN ICLR 2018 Efficient and Robust Question Answering from Minimal Context over Documents ACL 2018 Question Answering through Transfer Learning from Large Fine-grained Supervision Data ACL 2017