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Sitao Cheng

Call Me When Necessary: LLMs can Efficiently and Faithfully Reason over Structured Environments
2024 · Sitao Cheng, Ziyuan Zhuang, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL) · 16
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Question Decomposition Tree for Answering Complex Questions over Knowledge Bases
2023 · Xiang Huang, Sitao Cheng, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 14
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EfficientRAG: Efficient Retriever for Multi-Hop Question Answering
2024 · Ziyuan Zhuang, Zhiyang Zhang, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 13
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Disentangling Memory and Reasoning Ability in Large Language Models
2025 · Mingyu Jin, Weidi Luo, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 8
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QueryAgent: A Reliable and Efficient Reasoning Framework with Environmental Feedback based Self-Correction
2024 · Xiang Huang, Sitao Cheng, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 8
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RuleArena: A Benchmark for Rule-Guided Reasoning with LLMs in Real-World Scenarios
2025 · Ruiwen Zhou, Wenyue Hua, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 7
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MarkQA: A large scale KBQA dataset with numerical reasoning
2023 · Xiang Huang, Sitao Cheng, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 4
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Understanding the Interplay between Parametric and Contextual Knowledge for Large Language Models
2024 · Cheng, Sitao, Pan, Liangming, et al. · arXiv (Cornell University) · 2
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Call Me When Necessary: LLMs can Efficiently and Faithfully Reason over Structured Environments
2024 · Cheng, Sitao, Zhuang, Ziyuan, et al. · arXiv (Cornell University) · 2
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EfficientRAG: Efficient Retriever for Multi-Hop Question Answering
2024 · Zhuang, Ziyuan, Zhang, Zhiyang, et al. · arXiv (Cornell University) · 1
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Epistemic Context Learning: Building Trust the Right Way in LLM-Based Multi-Agent Systems
2026 · Zhou, Ruiwen, Song, Maojia, et al. · arXiv (Cornell University)
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Dual-Evolving Reinforcement Learning for Automated Reward Design
2025 · Cheng, Sitao, Li, Tianle, et al. · arXiv (Cornell University)
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Atomic Skills are the Prerequisite: When Reinforcement Learning Synthesizes Compositional Reasoning, and When It Only Amplifies
2025 · Cheng, Sitao, Yin, Xunjian, et al. · arXiv (Cornell University)
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TARGA: Targeted Synthetic Data Generation for Practical Reasoning over Structured Data
2025 · Xiang Huang, Jiayu Shen, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
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Thread: A Logic-Based Data Organization Paradigm for How-To Question Answering with Retrieval Augmented Generation
2025 · Kaikai An, Fangkai Yang, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
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Disentangling Memory and Reasoning Ability in Large Language Models
2024 · Jin, Mingyu, Luo, Weidi, et al. · arXiv (Cornell University)
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Thread: A Logic-Based Data Organization Paradigm for How-To Question Answering with Retrieval Augmented Generation
2024 · An, Kaikai, Yang, Fangkai, et al. · arXiv (Cornell University)
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QueryAgent: A Reliable and Efficient Reasoning Framework with Environmental Feedback-based Self-Correction
2024 · Huang, Xiang, Cheng, Sitao, et al. · arXiv (Cornell University)
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Works count: 25
Citation count: 75
H-index: 6
I10-index: 3
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