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Cheng Qian

A Survey of Agentic Reasoning for Large Language Models: Towards Recursively Self-Improving and Collective Agents
2026 · Wei, Tianxin, Li, Ting-Wei, et al. · arXiv (Cornell University) · 2
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Random Attention: Rethinking KV Cache Eviction for Efficient Reasoning
2026 · Wang, Heng, Qiu, Jielin, et al. · arXiv (Cornell University)
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Co-Evolution in Agentic Systems: Toward Self-Directed Evolution Beyond Human Design
2026 · Zong, Qing, Liu, Jiayu, et al. · arXiv (Cornell University)
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MS-Resampler: Multi-Scope Visual Resampling for Efficient Multimodal LLMs
2026 · Li, Zhongyang, Li, Yaqian, et al. · arXiv (Cornell University)
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Trimming the Long-Tail of Visual World Modeling Evaluation
2026 · Li, Bingxuan, Hong, Yining, et al. · arXiv (Cornell University)
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ACCORD: Action-Conditioned Contextual Grounding for Language Agents
2026 · Jiang, Lai, Qian, Cheng, et al. · arXiv (Cornell University)
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AdaPlanBench: Evaluating Adaptive Planning in Large Language Model Agents under World and User Constraints
2026 · Liu, Jiayu, Qian, Cheng, et al. · arXiv (Cornell University)
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Brick-Composer: Using MLLMs for Assembly with Diverse Bricks
2026 · Liu, Jiateng, Li, Bingxuan, et al. · arXiv (Cornell University)
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Instant-Fold: In-Context Imitation Learning for Deformable Object Manipulation
2026 · Wang, Yilong, Qian, Cheng, et al. · arXiv (Cornell University)
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Rethinking On-Policy Distillation of Large Language Models: Phenomenology, Mechanism, and Recipe
2026 · Li, Yaxuan, Zuo, Yuxin, et al. · arXiv (Cornell University)
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CreativityBench: Evaluating Agent Creative Reasoning via Affordance-Based Tool Repurposing
2026 · Qian, Cheng, Ha, Hyeonjeong, et al. · arXiv (Cornell University)
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PEARL: Self-Evolving Assistant for Time Management with Reinforcement Learning
2026 · Li, Bingxuan, Kim, Jeonghwan, et al. · arXiv (Cornell University)
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Current Agents Fail to Leverage World Model as Tool for Foresight
2026 · Qian, Cheng, Acikgoz, Emre Can, et al. · arXiv (Cornell University)
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MemGuard: Preventing Memory Contamination in Long-Term Memory-Augmented Large Language Models
2026 · Hyeonjeong Ha, Jeonghwan Kim, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
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UserHarness: Harnessing User Minds for Stronger Agent Theory-of-Mind
2026 · Cheng Qian, Jiayu Liu, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
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From Word to World: Can Large Language Models be Implicit Text-based World Models?
2025 · Li, Yixia, Wang, Hongru, et al. · arXiv (Cornell University)
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Works count: 16
Citation count: 2
H-index: 1
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