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Ran He

Venus-DefakerOne2: A Vision-Forensics Foundation Model with Broader Coverage
2026 · Qu, Chenfan, Liang, Yachao, et al. · arXiv (Cornell University)
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Video-MemComp: Taylor-Guided Sensitivity-Aware Memory Management for Streaming Video Understanding
2026 · Niu, Yonghui, Ji, Yuhao, et al. · arXiv (Cornell University)
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Smaller Models, Better Rejects: Preference Distillation Scaling
2026 · Cai, Rui, Zhu, Wenhui, et al. · arXiv (Cornell University)
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TGRL: Temperature-Grouped Reinforcement Learning for Efficient Exploration in LLMs
2026 · Lin, Zihan, Wang, Xiaohan, et al. · arXiv (Cornell University)
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The GUI Is Not the State: Diagnosing State Aliasing in GUI World Models
2026 · Liu, Dongsheng, Jin, Chao, et al. · arXiv (Cornell University)
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VLM-in-Sandbox: Visual Workspaces for Agentic Visual Reasoning
2026 · Yang, Hexiong, Chen, Mingrui, et al. · arXiv (Cornell University)
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FlashPrefill V2: Block-Sparse Prefill Attention for Long-Context LLM Serving
2026 · Fan, Qihang, Huang, Huaibo, et al. · arXiv (Cornell University)
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Topological collapse of higher-order interactions bottlenecks collective intelligence in AI agent societies
2026 · Lu, Shuo, Meng, Weicheng, et al. · arXiv (Cornell University)
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AgentStream: How Well Do Self-Evolving LLM Agents Perform Under Streaming Tasks?
2026 · Yan, Dong, Liang, Jian, et al. · arXiv (Cornell University)
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TREK: Distill to Explore, Reinforce to Refine
2026 · Xu, Yuanda, Zhou, Zhengze, et al. · arXiv (Cornell University)
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USE: A Unified Self-Ensembling Framework for Test-Time Prompt Tuning
2026 · Jiang, Siru, Liang, Jian, et al. · arXiv (Cornell University)
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OmniVideo-100K: A Dataset for Audio-Visual Reasoning through Structured Scripts and Evidence Chains
2026 · Cai, Xinyue, Fu, Chaoyou, et al. · arXiv (Cornell University)
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What If Consensus Lies? Selective-Complementary Reinforcement Learning at Test Time
2026 · Association for Computational Linguistics 2026, He, Ran, et al. · Underline Science Inc.
MVPBench: A Multi-Video Perception Evaluation Benchmark for Multi-Modal Video Understanding
2026 · Purui Bai, Tao Wu, et al. · International Joint Conference on Neural Networks (IJCNN)
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WorldCoder-Bench: Benchmarking Physically Grounded 3D World Synthesis
2026 · Lu, Shuo, Xu, Yinuo, et al. · arXiv (Cornell University)
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Bidirectional intervention attention network for audio–visual matching
2026 · Jiaxiang Wang, Aihua Zheng, et al. · Pattern Recognition
Understanding and Mitigating Spurious Signal Amplification in Test-Time Reinforcement Learning for Math Reasoning
2026 · Yu, Yongcan, He, Lingxiao, et al. · arXiv (Cornell University)
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SpeechParaling-Bench: A Comprehensive Benchmark for Paralinguistic-Aware Speech Generation
2026 · Liu, Ruohan, Yin, Shukang, et al. · arXiv (Cornell University)
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Video-MME-v2: Towards the Next Stage in Benchmarks for Comprehensive Video Understanding
2026 · Fu, Chaoyou, Yuan, Haozhi, et al. · arXiv (Cornell University)
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Safety in Embodied AI: A Survey of Risks, Attacks, and Defenses
2026 · Li, Xiao, Zheng, Xiang, et al. · arXiv (Cornell University)
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Think 360°: Evaluating the Width-centric Reasoning Capability of MLLMs Beyond Depth
2026 · Chen, Mingrui, Yang, Hexiong, et al. · arXiv (Cornell University)
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VideoDetective: Clue Hunting via both Extrinsic Query and Intrinsic Relevance for Long Video Understanding
2026 · Yang, Ruoliu, Wu, Chu, et al. · arXiv (Cornell University)
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What If Consensus Lies? Selective-Complementary Reinforcement Learning at Test Time
2026 · Yan, Dong, Liang, Jian, et al. · arXiv (Cornell University)
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The Trinity of Consistency as a Defining Principle for General World Models
2026 · Wei, Jingxuan, Li, Siyuan, et al. · arXiv (Cornell University)
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Mitigating the Safety-utility Trade-off in LLM Alignment via Adaptive Safe Context Learning
2026 · Wang, Yanbo, Wang, Minzheng, et al. · arXiv (Cornell University)
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Works count: 28
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