3 papers
cs.CL2026
TRE: Encouraging Exploration in the Trust Region
Chao Huang, Yujing Lu, Quangang Li +8
Entropy regularization is a standard technique in reinforcement learning (RL) to enhance exploration, yet it yields negligible effects or even degrades performance in Large Languag…
cs.CV2025
How Auxiliary Reasoning Unleashes GUI Grounding in VLMs
Weiming Li, Yan Shao, Jing Yang +6
Graphical user interface (GUI) grounding is a fundamental task for building GUI agents. However, general vision-language models (VLMs) struggle with this task due to a lack of spec…
cs.CL2025
DomainCQA: Crafting Knowledge-Intensive QA from Domain-Specific Charts
Yujing Lu, Ling Zhong, Jing Yang +5
Chart Question Answering (CQA) evaluates Multimodal Large Language Models (MLLMs) on visual understanding and reasoning over chart data. However, existing benchmarks mostly test su…