activity
20242026
collaborators

7 papers

cs.AI2026

Agentic Multi-Turn Reasoning: A Fairness Approach

Thanh-Dat Truong, Sankalp Pandey, Hugh Churchill +3

Recent advances in Large Language Models (LLMs) have enabled agentic systems capable of solving complex tasks through multi-turn planning, tool use, verification, and memory update…

cs.CV2026

Similarity Is Not Logic: Factored Inference for Dual-Encoder Vision-Language Models

Sultan Alshehri, Zhantao Yang, Han Zhang +1

Dual-encoder vision-language models (VLMs) expose a similarity interface that enables zero-shot retrieval but fails compositional constraints: queries like "umbrella and no person"…

cs.AI2026

PACE: Policy-Native Adaptive Decision Timing for Long-Horizon Reasoning

Chen Li, Zhantao Yang, Fangyi Chen +3

Long-horizon reasoning requires deciding not only what actions to take, but how many to execute open-loop before replanning. This number, the execution depth, balances replanning c…

cs.AI2025

MetaVLA: Unified Meta Co-training For Efficient Embodied Adaption

Chen Li, Zhantao Yang, Han Zhang +4

Vision-Language-Action (VLA) models show promise in embodied reasoning, yet remain far from true generalists-they often require task-specific fine-tuning, incur high compute costs,…

cs.RO2025

Reward Evolution with Graph-of-Thoughts: A Bi-Level Language Model Framework for Reinforcement Learning

Changwei Yao, Xinzi Liu, Chen Li +1

Designing effective reward functions remains a major challenge in reinforcement learning (RL), often requiring considerable human expertise and iterative refinement. Recent advance…

cs.AI2025

STELAR-VISION: Self-Topology-Aware Efficient Learning for Aligned Reasoning in Vision

Chen Li, Han Zhang, Zhantao Yang +4

Vision-language models (VLMs) have made significant strides in reasoning, yet they often struggle with complex multimodal tasks and tend to generate overly verbose outputs. A key l…

cs.AI2024

Hierarchical Knowledge Graph Construction from Images for Scalable E-Commerce

Zhantao Yang, Han Zhang, Fangyi Chen +2

Knowledge Graph (KG) is playing an increasingly important role in various AI systems. For e-commerce, an efficient and low-cost automated knowledge graph construction method is the…