3 papers
cs.AI2026
Exploring Weaknesses in Function Call Models via Reinforcement Learning: An Adversarial Data Augmentation Approach
Weiran Guo, Bing Bo, Shaoxiang Wu +1
Function call capabilities have become crucial for Large Language Models (LLMs), enabling them to interact more effectively with external tools and APIs. Existing methods for impro…
cs.IR2025
From Events to Trending: A Multi-Stage Hotspots Detection Method Based on Generative Query Indexing
Kaichun Wang, Yanguang Chen, Ting Zhang +7
LLM-based conversational systems have become a popular gateway for information access, yet most existing chatbots struggle to handle news-related trending queries effectively. To i…
cs.LG2025
ODIA: Oriented Distillation for Inline Acceleration of LLM-based Function Calling
Hanlong Zhang, Jingsheng Yang, Hao Li +2
Function Calling is a crucial technique that enables Large Language Models (LLMs) to interact with external systems through APIs. However, the high latency associated with LLM-base…