5 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.CR2025
To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems
Pengfei He, Zhenwei Dai, Xianfeng Tang +9
Large Language Model-based Multi-Agent Systems (LLM-MAS) have demonstrated strong capabilities in solving complex tasks but remain vulnerable when agents receive unreliable message…
cs.IR2024
REAPER: Reasoning based Retrieval Planning for Complex RAG Systems
Ashutosh Joshi, Sheikh Muhammad Sarwar, Samarth Varshney +3
Complex dialog systems often use retrieved evidence to facilitate factual responses. Such RAG (Retrieval Augmented Generation) systems retrieve from massive heterogeneous data stor…
cs.CL2023★ 5 cited
Are LLMs the Master of All Trades? : Exploring Domain-Agnostic Reasoning Skills of LLMs
Shrivats Agrawal
The potential of large language models (LLMs) to reason like humans has been a highly contested topic in Machine Learning communities. However, the reasoning abilities of humans ar…