4 papers
Lost in Execution: On the Multilingual Robustness of Tool Calling in Large Language Models
Zheng Luo, T Pranav Kutralingam, Ogochukwu N Okoani +3
Large Language Models (LLMs) are increasingly deployed as agents that invoke external tools through structured function calls. While recent work reports strong tool-calling perform…
When Simulation Lies: A Sim-to-Real Benchmark and Domain-Randomized RL Recipe for Tool-Use Agents
Xiaolin Zhou, Aojie Yuan, Zheng Luo +12
Tool-use language agents are evaluated on benchmarks that assume clean inputs, unambiguous tool registries, and reliable APIs. Real deployments violate all these assumptions: user…
Fairness or Fluency? An Investigation into Language Bias of Pairwise LLM-as-a-Judge
Xiaolin Zhou, Zheng Luo, Yicheng Gao +4
Recent advances in Large Language Models (LLMs) have incentivized the development of LLM-as-a-judge, an application of LLMs where they are used as judges to decide the quality of a…
Pay More Attention To Audio: Mitigating Imbalance of Cross-Modal Attention in Large Audio Language Models
Junyu Wang, Ziyang Ma, Zhengding Luo +4
Large Audio-Language Models (LALMs) often suffer from audio-textual attention imbalance, prioritizing text over acoustic information, particularly in the multi-modal fusion layers…