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Wanli Ouyang

Beyond Retrieval Failure: Understanding Why LLMs Miss Evidence in Multi-Hop RAG
2026 · Wei, Jiaqi, Huang, Wenxuan, et al. · arXiv (Cornell University)
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RSI-Anything: Unlocking Recursive Self-Improvement with World Models
2026 · Cui, Taoyong, Zeng, Pinxian, et al. · arXiv (Cornell University)
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GRAM: Correcting Frozen Time-Series Foundation Models via Graph-Retrieved Amplitude Memory
2026 · Yu, Xiaoyun, Qiu, Xiangfei, et al. · arXiv (Cornell University)
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RoboBridge: A Self-Evolving Embodied Agent Framework for Sim-to-Real Transfer
2026 · Li, Chenxi, Zhao, Zhangrui, et al. · arXiv (Cornell University)
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SymbolicLM: Training Language Models as Symbolic Regressors
2026 · Yao, Jun, Hua, Yingfan, et al. · arXiv (Cornell University)
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Tool-Augmented On-Policy Distillation for LLM Domain Adaptation in Sequence-Based Omics Tasks
2026 · Ying, Jie, Wang, Zhefan, et al. · arXiv (Cornell University)
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JEPA-Anything: Learning Predictive Models across Different Worlds
2026 · Cui, Taoyong, Wang, Zhongyao, et al. · arXiv (Cornell University)
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An immune world model for multiscale forecasting and therapeutic hypothesis generation
2026 · Cui, Taoyong, Wang, Xi, et al. · arXiv (Cornell University)
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UniGIO: Unified Generative Global In-situ Weather Modeling from Spatiotemporal Incomplete Observations
2026 · Yang, Songru, Liu, Zili, et al. · arXiv (Cornell University)
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Orthogonal JEPA: Factorized Predictive States for Latent World Models
2026 · Cui, Taoyong, Heng, Pheng Ann, et al. · arXiv (Cornell University)
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SeekBrain: An Autonomous Multi-Agent System for Accelerating Neuroscience Discovery
2026 · Wu, Jiamin, Xiang, Peishan, et al. · arXiv (Cornell University)
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BrainJanus: A Unified Model for Understanding and Generation across Brain, Vision, and Language
2026 · Wu, Haitao, Zhang, Qirui, et al. · arXiv (Cornell University)
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Heterogeneous and Adept Snapshot Distillation for 3D Semantic Segmentation
2026 · Wu, Xiaopei, Hou, Yuenan, et al. · arXiv (Cornell University)
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LabOSBench: Benchmarking Computer Use Agents for Scientific Instrument Control
2026 · Zou, Anqi, Deng, Han, et al. · arXiv (Cornell University)
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A Scalable Multi-LLM Collaboration System with Retrieval-based Selection and Exploration-Exploitation-Driven Enhancement
2026 · Association for Computational Linguistics 2026, Bai, Lei, et al. · Underline Science Inc.
Nature-Inspired Population-Based Evolution of Large Language Models
2026 · Association for Computational Linguistics 2026, Bai, Lei, et al. · Underline Science Inc.
VocabTailor: Dynamic Vocabulary Selection for Downstream Tasks in Small Language Models
2026 · Association for Computational Linguistics 2026, Dai, Guohao, et al. · Underline Science Inc.
ResearchClawBench: A Benchmark for End-to-End Autonomous Scientific Research
2026 · Xu, Wanghan, Li, Shuo, et al. · arXiv (Cornell University)
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LECTOR: Joint Optimization of Scientific Reasoning Graphs and Introduction Generation
2026 · Xiao, Jiabei, Wang, Yizhou, et al. · arXiv (Cornell University)
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OmniLiDAR: A Unified Diffusion Framework for Multi-Domain 3D LiDAR Generation
2026 · Liu, Youquan, Yang, Weidong, et al. · arXiv (Cornell University)
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ReCrit: Transition-Aware Reinforcement Learning for Scientific Critic Reasoning
2026 · Xu, Wanghan, Zhou, Yuhao, et al. · arXiv (Cornell University)
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StraTA: Incentivizing Agentic Reinforcement Learning with Strategic Trajectory Abstraction
2026 · Xue, Xiangyuan, Zhou, Yifan, et al. · arXiv (Cornell University)
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When to Think, When to Speak: Learning Disclosure Policies for LLM Reasoning
2026 · Wei, Jiaqi, Guo, Xuehang, et al. · arXiv (Cornell University)
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Matrix-Game 3.0: Real-Time and Streaming Interactive World Model with Long-Horizon Memory
2026 · Wang, Zile, Liu, Zexiang, et al. · arXiv (Cornell University)
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ARCHE: A Novel Task to Evaluate LLMs on Latent Reasoning Chain Extraction
2026 · Liu, Jiaqi, Yu, Junchi, et al. · Carolina Digital Repository (University of North Carolina at Chapel Hill)
Works count: 39
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