collaborators

14 papers

cs.RO2026

Look Before You Leap: Distilling Tree Search into Action Evaluation for Frozen VLA Models

Xinyi Xie, Zican Hu, Zhanyu Liu +7

Vision-Language-Action (VLA) models acquire broad embodied capabilities through large-scale pretraining, yet their generalization remains far more fragile than that of LLMs and VLM…

cs.AI2026

Bridging Interleaved Multi-Modal Reasoning as a Unified Decision Process

Zican Hu, Xuyang Hu, Yiming Liu +10

Unified multi-modal models (UMMs) have shown promising interleaved text-image reasoning capabilities, yet effectively optimizing such multi-turn generation via reinforcement learni…

cs.AI2026

Beyond Compilation: Evaluating Faithful Natural-Language-to-Lean Statement Formalization

Ke Zhang, Patricio Gallardo Candela, Sudhir Murthy +3

Theorem-proving benchmarks evaluate proof search against fixed formal statements, but natural-language-to-Lean formalization must generate the formal statement itself. In this sett…

cs.CL2026

From Conflict to Consensus: Boosting Medical Reasoning via Multi-Round Agentic RAG

Wenhao Wu, Zhentao Tang, Yafu Li +5

Large Language Models (LLMs) exhibit high reasoning capacity in medical question-answering, but their tendency to produce hallucinations and outdated knowledge poses critical risks…

cs.CL2026

Characterizing, Evaluating, and Optimizing Complex Reasoning

Haoran Zhang, Yafu Li, Zhi Wang +4

Large Reasoning Models (LRMs) increasingly rely on reasoning traces with complex internal structures. However, existing work lacks a unified answer to three fundamental questions:…

cs.SE2026

FailureMem: A Failure-Aware Multimodal Framework for Autonomous Software Repair

Ruize Ma, Yilei Jiang, Shilin Zhang +7

Multimodal Automated Program Repair (MAPR) extends traditional program repair by requiring models to jointly reason over source code, textual issue descriptions, and visual artifac…