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Yuan Wu

RPCBench: A Benchmark for Proactive Premise Critique in LLM-based Recommendation
2026 · Chen, Zhongru, Wu, Yuan, et al. · arXiv (Cornell University)
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CaSKG: Counterfactual-Causal Skill Graphs for Scalable Agent Skill Retrieval
2026 · Li, Zhiyuan, Gao, Linyuan, et al. · arXiv (Cornell University)
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ToolRobustBench: Stage-Wise Perturbation Evaluation and Failure Diagnosis for Tool-Calling Agents
2026 · Zheng, YiShan, Wu, Yuan, et al. · arXiv (Cornell University)
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Thinking vs. NoThinking: Towards Interpreting Reasoning Mechanisms of Large Language Models via Sparse Autoencoders
2026 · Cheng, Bo, Lu, Qiaolin, et al. · arXiv (Cornell University)
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BV-Blend: Uncertainty-Weighted Historical Baselines for Stable Critic-Free RL with Verifiable Rewards
2026 · Chang, Yupeng, Wu, Yuan, et al. · arXiv (Cornell University)
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SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling
2026 · Chang, Yupeng, Wu, Yuan, et al. · arXiv (Cornell University)
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AuRA: Internalizing Audio Understanding into LLMs as LoRA
2026 · Cheng, Bo, Shi, Lei, et al. · arXiv (Cornell University)
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Convergence Rates for Neural-Network Estimation with Current-Status Data
2026 · Wu, Yuan, Zhou, Tianhui · arXiv (Cornell University)
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A Systematic Evaluation of Positional Bias in Multi-Video Summarization with MLLMs
2026 · Xu, Huangchen, Wu, Yuan, et al. · arXiv (Cornell University)
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SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling
2026 · Association for Computational Linguistics 2026, Chang, Yi, et al. · Underline Science Inc.
SpatioTemporal Difference Network for Video Depth Super-Resolution
2026 · Zhengxue Wang, Yuan Wu, et al. · Proceedings of the AAAI Conference on Artificial Intelligence
AGGC: Adaptive Group Gradient Clipping for Stabilizing Large Language Model Training
2026 · Li, Zhiyuan, Wu, Yuan, et al. · arXiv (Cornell University)
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VCIFBench: Evaluating Complex Instruction Following for Video Understanding
2026 · Huangchen Xu, Yuan Wu, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
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How Robust is OCR-Reasoning? Evaluating OCR-Reasoning Robustness of Vision-Language Models under Visual Perturbations
2026 · Yuxing Cheng, Yuan Wu, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
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OCR-MetaReasoning Benchmark: Evaluating the Meta-Reasoning Ability of MLLMs in Text-Rich Image Understanding
2026 · Gengxu Li, Yuan Wu, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
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MMPCBench: Benchmarking Multimodal Large Language Models on Proactive Critique of Flawed Inputs
2026 · Jinzhe Li, Gengxu Li, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
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Beyond Blind Compliance: Benchmarking Task Verification in OCR Reasoning
2026 · Yue Zhou, Yuan Wu, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
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Works count: 17
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