Zhaoyu Yang — accepted AI-conference papers

2026

LENS: Multi-level Evaluation of Multimodal Reasoning with Large Language Models

Ruilin Yao, Bo Zhang, Jirui Huang, Xinwei Long, Yifang Zhang, Tianyu Zou +17

ICLR 2026poster

Multimodal Large Language Models (MLLMs) have achieved significant advances in integrating visual and linguistic information, yet their ability to reason about complex and real-world scenarios remains limited. Existing benchmarks are usually constructed in a task-oriented manner, without a guarantee…

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2026

Mitigating Tool Overuse for LLMs via Active Knowledge Boundary Probing

Zhaoyu Yang, Wenjun Ke, Yuanyao Li, Yuchen Liu, Junqi Xu, Peng Wang +1

IJCAI 2026

Tool-augmented methods aim to enhance the reasoning capabilities of large language models (LLMs) by invoking external tools, which can be broadly categorized into training-free and training-based methods. Training-free methods can directly instruct LLMs to invoke external tools, but they exhibit lim

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