works on

From the 1 of 6 linked papers with an AI index.

collaborators

6 papers

cs.CV2026

When Vision Overrides Language: Evaluating and Mitigating Counterfactual Failures in VLAs

Yu Fang, Yuchun Feng, Dong Jing +5

The paper studies how Vision-Language-Action (VLA) models often ignore language instructions by relying on visual shortcuts, introduces a counterfactual benchmark (LIBERO-CF) to ev…

cs.AI2026

REDSearcher: A Scalable and Cost-Efficient Framework for Long-Horizon Search Agents

Zheng Chu, Xiao Wang, Jack Hong +11

Large language models are transitioning from generalpurpose knowledge engines to realworld problem solvers, yet optimizing them for deep search tasks remains challenging. The centr…

cs.AI2026

Detecting RLVR Training Data via Structural Convergence of Reasoning

Hongbo Zhang, Yue Yang, Jianhao Yan +2

Reinforcement learning with verifiable rewards (RLVR) is central to training modern reasoning models, but the undisclosed training data raises concerns about benchmark contaminatio…

cs.CL2026

HyperWalker: Dynamic Hypergraph-Based Deep Diagnosis for Multi-Hop Clinical Modeling across EHR and X-Ray in Medical VLMs

Yuezhe Yang, Hao Wang, Yige Peng +2

Automated clinical diagnosis remains a core challenge in medical AI, which usually requires models to integrate multi-modal data and reason across complex, case-specific contexts.…

cs.LG2026

Milestones over Outcome: Unlocking Geometric Reasoning with Sub-Goal Verifiable Reward

Jianlong Chen, Daocheng Fu, Shengze Xu +6

Multimodal Large Language Models (MLLMs) struggle with complex geometric reasoning, largely because "black box" outcome-based supervision fails to distinguish between lucky guesses…

cs.CV2025

GeoBench: Rethinking Multimodal Geometric Problem-Solving via Hierarchical Evaluation

Yuan Feng, Yue Yang, Xiaohan He +8

Geometric problem solving constitutes a critical branch of mathematical reasoning, requiring precise analysis of shapes and spatial relationships. Current evaluations of geometric…