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cs.AI2025
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…
cs.AI2025
Tournament of Prompts: Evolving LLM Instructions Through Structured Debates and Elo Ratings
Anirudh Nair, Adi Banerjee, Laurent Mombaerts +2
Prompt engineering represents a critical bottleneck to harness the full potential of Large Language Models (LLMs) for solving complex tasks, as it requires specialized expertise, s…