collaborators

5 papers

cs.AI2026

Listen, See and Track: Spatio-Temporal Audio-Visual Sound Event Reasoning for Omni-Modal Language Models

Zhi Zeng, Cheng Zhang, Zesheng Yang +9

Understanding dynamic sound sources requires jointly determining what produces a sound, where the source is located, and how it moves over time. Yet existing audio-language models…

cs.CL2026

Dual-Cluster Memory Agent: Resolving Multi-Paradigm Ambiguity in Optimization Problem Solving

Xinyu Zhang, Yuchen Wan, Boxuan Zhang +4

Large Language Models (LLMs) often struggle with structural ambiguity in optimization problems, where a single problem admits multiple related but conflicting modeling paradigms, h…

cs.CV2026

ChartAct: A Benchmark for Dynamic Chart Understanding

Muye Huang, Lin Wu, Lingling Zhang +5

Charts are widely used to present complex data for analysis and decision making. Existing chart understanding benchmarks mainly focus on static charts, but real-world charts are of…

cs.CV2026

AnomalyClaw: A Universal Visual Anomaly Detection Agent via Tool-Grounded Refutation

Xi Jiang, Yinjie Zhao, Zesheng Yang +1

Visual anomaly detection (VAD) is crucial in many real-world fields, such as industrial inspection, medical imaging, infrastructure monitoring, and remote sensing. However, the spe…

cs.CL2026

GeoChallenge: A Multi-Answer Multiple-Choice Benchmark for Geometric Reasoning with Diagrams

Yushun Zhang, Weiping Fu, Zesheng Yang +6

Evaluating the symbolic reasoning of large language models (LLMs) calls for geometry benchmarks that require multi-step proofs grounded in both text and diagrams. However, existing…