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Author

Tao Feng

JevAgentHarness: Benchmarking, Deploying and Training Decision Models That Share Control with LLMs
2026 · Zhu, Kunlun, Feng, Tao, et al. · arXiv (Cornell University)
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MemComposer: Learning to Assemble Memories for LLM Agents via Reinforcement Learning
2026 · Xie, Yixuan, Xu, Xueqiang, et al. · arXiv (Cornell University)
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$\mathrm{S}^3$-PnP: Plug-and-Play Denoising for Scientific Imaging with Self-Supervised Score Priors
2026 · Cui, Yukun, Zhang, Jiangshe, et al. · arXiv (Cornell University)
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MemPilot: Orchestrating On-Demand Multimodal Memory Curation for LLM Agents
2026 · Zhang, Haozhen, Yue, Haodong, et al. · arXiv (Cornell University)
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Building LLM Agent Systems the Deep Learning Way: From Modular Design to Architecture Search
2026 · Feng, Tao, Han, Pengrui, et al. · arXiv (Cornell University)
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HappyWorld-Bench
2026 · Bai, Zhiqi, Cai, Junai, et al. · arXiv (Cornell University)
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Continual Learning in Transition
2026 · Hou, Zhiyan, Zhang, Dan, et al. · arXiv (Cornell University)
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Reinforcement Learning with Evolving Rubrics as Rewards for Audio Reasoning
2026 · Yu, Fangxu, Feng, Tao, et al. · arXiv (Cornell University)
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SERL-SQL: Selective Hindsight Distillation for Text-to-SQL Reinforcement Agentic Learning
2026 · Liu, Tao, Feng, Tao, et al. · arXiv (Cornell University)
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Fishing Out Free Riders: Shapley-Based Reward Attribution for Parallel Reasoning via Reinforcement Learning
2026 · Zhang, Wentao, Zhang, Haoyu, et al. · arXiv (Cornell University)
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TSRouter: Dynamic Modality-Model Selection for Time Series Reasoning
2026 · Yu, Fangxu, Feng, Tao, et al. · arXiv (Cornell University)
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KbSD: Knowledge Boundary aware Self-Distillation for Behavioral Calibration in Agentic Search
2026 · Feng, Tao, Jiang, Xinke, et al. · arXiv (Cornell University)
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5% > 100%: Flatness Preference is All You Need for Multimodal Parameter-Efficient Fine-Tuning
2026 · Zhu, Yifan, Lin, Can, et al. · arXiv (Cornell University)
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ExpWeaver: LLM Agents Learn from Experience via Latent RAG
2026 · Feng, Tao, Luo, Tianyang, et al. · arXiv (Cornell University)
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RotMoLE: Enhancing Mixture of Low-Rank Experts through Rotational Gating Mechanism
2026 · Sun, Mengyang, Dou, Maochuan, et al. · arXiv (Cornell University)
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Unveiling Fine-Grained Visual Traces: Evaluating Multimodal Interleaved Reasoning Chains in Multimodal STEM Tasks
2026 · Jin, Jing, Liu, Hao, et al. · arXiv (Cornell University)
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CoInteract: Physically-Consistent Human-Object Interaction Video Synthesis via Spatially-Structured Co-Generation
2026 · Luo, Xiangyang, Xin, Xiaozhe, et al. · arXiv (Cornell University)
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Why Does RL Generalize Better Than SFT? A Data-Centric Perspective on VLM Post-Training
2026 · Lu, Aojun, Feng, Tao, et al. · arXiv (Cornell University)
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Learning Query-Aware Budget-Tier Routing for Runtime Agent Memory
2026 · Zhang, Haozhen, Yue, Haodong, et al. · arXiv (Cornell University)
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MambaVF: State Space Model for Efficient Video Fusion
2026 · Zhao, Zixiang, Cui, Yukun, et al. · arXiv (Cornell University)
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MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents
2026 · Zhang, Haozhen, Long, Quanyu, et al. · arXiv (Cornell University)
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Probing the Knowledge Boundary: An Interactive Agentic Framework for Deep Knowledge Extraction
2026 · Yang, Yuheng, Zhu, Siqi, et al. · arXiv (Cornell University)
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Continual GUI Agents
2026 · Liu, Ziwei, Kang, Borui, et al. · arXiv (Cornell University)
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CE-RM: A Pointwise Generative Reward Model Optimized via Two-Stage Rollout and Unified Criteria
2026 · Hu, Xinyu, He, Yancheng, et al. · arXiv (Cornell University)
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A Survey of Agent Memory in the Second Half: Towards Self-Evolving and Long-Horizon Agents
2026 · Huang, Wei-Chieh, Zhang, Weizhi, et al. · arXiv (Cornell University)
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Works count: 30
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