2 citations · 3 across the 3 of their papers we have counts for
3 papers
Where Did It All Go Wrong? A Hierarchical Look into Multi-Agent Error Attribution
Adi Banerjee, Anirudh Nair, Tarik Borogovac
Error attribution in Large Language Model (LLM) multi-agent systems presents a significant challenge in debugging and improving collaborative AI systems. Current approaches to pinp…
VERA: Validation and Evaluation of Retrieval-Augmented Systems
Tianyu Ding, Adi Banerjee, Laurent Mombaerts +3
The increasing use of Retrieval-Augmented Generation (RAG) systems in various applications necessitates stringent protocols to ensure RAG systems accuracy, safety, and alignment wi…
Meta Knowledge for Retrieval Augmented Large Language Models
Laurent Mombaerts, Terry Ding, Adi Banerjee +3
Retrieval Augmented Generation (RAG) is a technique used to augment Large Language Models (LLMs) with contextually relevant, time-critical, or domain-specific information without a…