collaborators

12 papers

cs.AI2026

Illusion of Alignment: Detecting Hidden Disagreement in Collaborative Dialogue

Kaiming Liu, Fuwen Luo, Ziyue Wang +6

Collaborative dialogue can end with apparent agreement while participants still differ on goals, assumptions, or execution plans, creating an \textbf{illusion of alignment (IoA)}.…

cs.LG2026

Enhancing LLM Metacognition via Cognitive Pairwise Training

Weitao Li, Hao Zhou, Xuanyu Lei +11

Reinforcement learning with verifiable rewards (RLVR) has become central to LLM reasoning, but its outcome-level rewards can make models more willing to give confident answers when…

cs.CV2026

Enabling Stroke-Level Structural Analysis of Hieroglyphic Scripts without Language-Specific Priors

Fuwen Luo, Zihao Wan, Ziyue Wang +6

Hieroglyphs, as logographic writing systems, encode rich semantic and cultural information within their internal structural composition. Yet, current advanced Large Language Models…

cs.CV2026

MUSEG: Reinforcing Video Temporal Understanding via Timestamp-Aware Multi-Segment Grounding

Fuwen Luo, Shengfeng Lou, Chi Chen +9

Video temporal understanding is crucial for multimodal large language models (MLLMs) to reason over events in videos. Despite recent advances in general video understanding, curren…

cs.CV2026

Evaluating Time Awareness and Cross-modal Active Perception of Large Models via 4D Escape Room Task

Yurui Dong, Ziyue Wang, Shuyun Lu +5

Multimodal Large Language Models (MLLMs) have recently made rapid progress toward unified Omni models that integrate vision, language, and audio. However, existing environments lar…

cs.CL2026

Browse and Concentrate: Comprehending Multimodal Content via prior-LLM Context Fusion

Ziyue Wang, Chi Chen, Yiqi Zhu +7

With the bloom of Large Language Models (LLMs), Multimodal Large Language Models (MLLMs) that incorporate LLMs with pre-trained vision models have recently demonstrated impressive…