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Xiaoxi Jiang

Trace2Skill: Distill Trajectory-Local Lessons into Transferable Agent Skills
2026 · Jingwei Ni, Yihao Liu, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 2
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Teacher-Student Gaps Are Not Enough: Outcome-Guided On-Policy Distillation for Multi-Turn Autonomous Agents
2026 · Zhang, Tong, Liu, Zhou, et al. · arXiv (Cornell University)
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SMOPD: Multi-Reward Reinforcement Learning via Specialize-and-Merge Online Policy Distillation
2026 · Wang, Wen, Bao, Jiahua, et al. · arXiv (Cornell University)
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Skill Self-Play: Pushing the Frontier of LLM Capability with Co-Evolving Skills
2026 · Huang, Siyuan, Cheng, Pengyu, et al. · arXiv (Cornell University)
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Skill-RM: Unifying Heterogeneous Evaluation Criteria via Agent Skill
2026 · Chen, Tao, Jiang, Gangwei, et al. · arXiv (Cornell University)
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Goldsmith: Gold-Loss-Guided Prompt Training for Agentic Annotation
2026 · Li, Yihan, Zhang, Hanyi, et al. · Zenodo (CERN European Organization for Nuclear Research)
Fill the GAP: A Granular Alignment Paradigm for Visual Reasoning in Multimodal Large Language Models
2026 · Miao, Yanting, Sun, Yutao, et al. · arXiv (Cornell University)
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MARCH: Multi-Agent Reinforced Self-Check for LLM Hallucination
2026 · Li, Zhuo, Zhang, Yupeng, et al. · arXiv (Cornell University)
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Rationale Matters: Learning Transferable Rubrics via Proxy-Guided Critique for VLM Reward Models
2026 · Qiu, Weijie, Guan, Dai, et al. · arXiv (Cornell University)
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Grounding the Score: Explicit Visual Premise Verification for Reliable Vision-Language Process Reward Models
2026 · Wang, Junxin, Guan, Dai, et al. · arXiv (Cornell University)
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CLIPO: Contrastive Learning in Policy Optimization Generalizes RLVR
2026 · Cui, Sijia, Cheng, Pengyu, et al. · arXiv (Cornell University)
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Open Rubric System: Scaling Reinforcement Learning with Pairwise Adaptive Rubric
2026 · Wen Wang, Ruipeng Jia, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
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ATP-Bench: Towards Agentic Tool Planning for MLLM Interleaved Generation
2026 · Yinuo Liu, Zi Qian, et al. · Lecture notes in computer science
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RiT: Rubrics-in-Thinking Reinforcement Learning for Improved Reasoning in Large Language Models
2026 · Xiaobin Tian, Shuai Yuan, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
Intent-Driven Generative Query Suggestion with Query-Level Credit Assignment
2026 · Xinpeng Liu, Lu Ma, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
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Token-Disentangled Latent Test-Time Scaling for Vision-Language Reasoning
2026 · Hao-Xuan Ma, Yihao Liu, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
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Eliminating Inductive Bias in Reward Models with Information-Theoretic Guidance
2025 · Li, Zhuo, Cheng, Pengyu, et al. · arXiv (Cornell University)
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Works count: 17
Citation count: 2
H-index: 1
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