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Author

Pei Ke

Observed name: Ke, Pei
ORCID: 0009-0006-3749-6080
Observed ORCID: 0009-0006-3749-6080
OpenAlex ID: A5140796928
CharacterBench: Benchmarking Character Customization of Large Language Models
2025 · Jinfeng Zhou, Yongkang Huang, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2
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From Single- to Cross-Document: Benchmarking Multi-Granularity Event Analysis of Large Language Models
2026 · Tao Wen, Shuai Shao, et al. · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
CAT: Confidence-Adaptive Thinking for Efficient Reasoning of Large Reasoning Models
2026 · Jiang, Qizhi, Wang, Shuo, et al. · arXiv (Cornell University)
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IF-CRITIC: Towards a Fine-Grained LLM Critic for Instruction-Following Evaluation
2026 · Association for Computational Linguistics 2026, Huang, Minlie, et al. · Underline Science Inc.
IF-RewardBench: Benchmarking Judge Models for Instruction-Following Evaluation
2026 · Association for Computational Linguistics 2026, Huang, Minlie, et al. · Underline Science Inc.
CAT: Confidence-Adaptive Thinking for Efficient Reasoning of Large Reasoning Models
2026 · Association for Computational Linguistics 2026, Jiang, Qizhi, et al. · Underline Science Inc.
Benchmarking and enhancing the ability of large language models on event generalization
2026 · Shuai Shao, Tao Wen, et al. · Information Processing & Management
IF-RewardBench: Benchmarking Judge Models for Instruction-Following Evaluation
2026 · Wen, Bosi, Niu, Yilin, et al. · arXiv (Cornell University)
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Rethinking LLM-Driven Heuristic Design: Generating Efficient and Specialized Solvers via Dynamics-Aware Optimization
2026 · Wang, Rongzheng, Huang, Yihong, et al. · arXiv (Cornell University)
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CAT: Confidence-Adaptive Thinking for Efficient Reasoning of Large Reasoning Models
2026 · Qizhi Jiang, Shuo Wang, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
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IF-RewardBench: Benchmarking Judge Models for Instruction-Following Evaluation
2026 · Bosi Wen, Yilin Niu, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
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From Topical Relevance to Answerability: Entailment Distillation for Conversational Retrieval
2026 · Shuai Qin, Guojia An, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
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When and What to Teach: Budget-Aware Online Adaptation for Web Agents
2026 · Jianwei Zhang, Sihan Cao, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
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Falcon: A Cross-Modal Evaluation Dataset for Comprehensive Safety Perception
2025 · Xue, Qi, Jiang, Minrui, et al. · arXiv (Cornell University)
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Works count: 14
Citation count: 2
H-index: 1
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