#debugging2 articles

2 articles

AIBullisharXiv – CS AI · 6h ago11

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From Flat Logs to Causal Graphs: Hierarchical Failure Attribution for LLM-based Multi-Agent Systems

Researchers introduce CHIEF, a new framework that improves failure analysis in LLM-powered multi-agent systems by transforming execution logs into hierarchical causal graphs. The system uses oracle-guided backtracking and counterfactual attribution to better identify root causes of failures, outperforming existing methods on benchmark tests.

AINeutralarXiv – CS AI · 6h ago2

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User Misconceptions of LLM-Based Conversational Programming Assistants

Researchers analyzed user misconceptions about LLM-based programming assistants like ChatGPT, finding users often have misplaced expectations about web access, code execution, and debugging capabilities. The study examined Python programming conversations from WildChat dataset and identified the need for clearer communication of tool capabilities to prevent over-reliance and unproductive practices.