6 citations · 6 across the 7 of their papers we have counts for
Showing 2025Show all
2 papers · 1 filter
cs.AI2025
Collaborative Belief Reasoning with LLMs for Efficient Multi-Agent Collaboration
Zhimin Wang, Duo Wu, Shaokang He +6
Effective real-world multi-agent collaboration requires not only accurate planning but also the ability to reason about collaborators' intents--a crucial capability for avoiding mi…
cs.LG2025
Detecting Instruction Fine-tuning Attacks using Influence Function
Jiawei Li
Instruction fine-tuning attacks pose a serious threat to large language models (LLMs) by subtly embedding poisoned examples in fine-tuning datasets, leading to harmful or unintende…