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Bingbing Wen

Know Your Limits: A Survey of Abstention in Large Language Models
2025 · Bingbing Wen, Jihan Yao, et al. · Transactions of the Association for Computational Linguistics · 44
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Characterizing LLM Abstention Behavior in Science QA with Context Perturbations
2024 · Bingbing Wen, Bill Howe, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP) · 5
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Do Language Models Mirror Human Confidence? Exploring Psychological Insights to Address Overconfidence in LLMs
2025 · Chenjun Xu, Bingbing Wen, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL) · 3
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HERA: Harness-Environment Co-Evolution for Reliable Agentic Abstention
2026 · Luo, Han, Wen, Bingbing, et al. · arXiv (Cornell University)
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You're Hired: Strategic Model Selection for LLM Collaboration
2026 · Cao, Zongwan, Yang, Ziyuan, et al. · arXiv (Cornell University)
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Spurious Tool Use: When RL Agents Learn the Wrong Reason to Act
2026 · Yang, Yiwei, Zhang, Haoxiang, et al. · arXiv (Cornell University)
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Agentic Abstention: Do Agents Know When to Stop Instead of Act?
2026 · Luo, Han, Wen, Bingbing, et al. · arXiv (Cornell University)
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Illusions of the Gold Standard: A Large-scale Analysis of Human Evaluation Protocols for Long-form Text Generation
2026 · Mei, Katelyn Xiaoying, Hsu, Yi-Li, et al. · arXiv (Cornell University)
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Illusions of the Gold Standard: A Large-scale Analysis of Human Evaluation Protocols for Long-form Text Generation
2026 · Association for Computational Linguistics 2026, Blodgett, Su Lin, et al. · Underline Science Inc.
MixAtlas: Uncertainty-aware Data Mixture Optimization for Multimodal LLM Midtraining
2026 · Wen, Bingbing, Salekin, Sirajul, et al. · arXiv (Cornell University)
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Towards Dynamic Dense Retrieval with Routing Strategy
2026 · Su, Zhan, Mo, Fengran, et al. · arXiv (Cornell University)
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Clarify or Answer: Reinforcement Learning for Agentic VQA with Context Under-specification
2026 · Cao, Zongwan, Wen, Bingbing, et al. · arXiv (Cornell University)
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STOP: Structured On-Policy Pruning of Long-Form Reasoning in Low-Data Regimes
2026 · Chenjun Xu, Zhennan Zhou, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
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Illusions of the Gold Standard: A Large-scale Analysis of Human Evaluation Protocols for Long-form Text Generation
2026 · Katelyn X. Mei, Yi-Li Hsu, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
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Escaping the SpuriVerse: Can Large Vision-Language Models Generalize Beyond Seen Spurious Correlations?
2025 · Yiwei Yang, Chung Peng Lee, et al. · neural information processing systems
Works count: 15
Citation count: 52
H-index: 3
I10-index: 1
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