collaborators

5 papers

cs.CV2026

TimeChat-Captioner: Scripting Multi-Scene Videos with Time-Aware and Structural Audio-Visual Captions

Linli Yao, Yuancheng Wei, Yaojie Zhang +12

This paper proposes Omni Dense Captioning, a novel task designed to generate continuous, fine-grained, and structured audio-visual narratives with explicit timestamps. To ensure de…

cs.AI2026

Claw-Eval: Towards Trustworthy Evaluation of Autonomous Agents

Bowen Ye, Rang Li, Qibin Yang +10

Large language models are increasingly deployed as autonomous agents for multi-step workflows in real-world software environments. However, existing agent benchmarks are limited by…

cs.CV2026

DiffCap-Bench: A Comprehensive, Challenging, Robust Benchmark for Image Difference Captioning

Yuancheng Wei, Haojie Zhang, Linli Yao +7

Image Difference Captioning (IDC) generates natural language descriptions that precisely identify differences between two images, serving as a key benchmark for fine-grained change…

cs.AI2026

CuraLight: Debate-Guided Data Curation for LLM-Centered Traffic Signal Control

Qing Guo, Xinhang Li, Junyu Chen +4

Traffic signal control (TSC) is a core component of intelligent transportation systems (ITS), aiming to reduce congestion, emissions, and travel time. Recent approaches based on re…

cs.CL2026

Learning to Interrupt in Language-based Multi-agent Communication

Danqing Wang, Da Yin, Ruta Desai +3

When a colleague starts explaining something you already understand, you interrupt them. This simple act, a listener taking control of the conversation, is natural in human communi…