DAAF: From Failure Localization to Editable System Assets in LLM Agents
cs.AI
Submitted: 2026-09-26
Updated: 2026-09-26
Terminology
Sources
- $\tau^2$-Bench: Evaluating Conversational Agents in a Dual-Control Environment
- CausalFlow: Causal Attribution and Counterfactual Repair for LLM Agent Failures
- Rethinking Failure Attribution in Multi-Agent Systems: A Multi-Perspective Benchmark and Evaluation
- DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines
- Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation
- When Agents Disagree With Themselves: Behavioral Consistency as an Uncertainty Signal for LLM Agents
- Detecting Silent Failures in Multi-Agentic AI Trajectories
- Causal Agent Replay: Counterfactual Attribution for LLM-Agent Failures
- Voyager: An Open-Ended Embodied Agent with Large Language Models
- From Flat Logs to Causal Graphs: Hierarchical Failure Attribution for LLM-based Multi-Agent Systems
- AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation
- DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence
- ReAct: Synergizing Reasoning and Acting in Language Models
- Tracing Agentic Failure from the Flow of Success
- Which Agent Causes Task Failures and When? On Automated Failure Attribution of LLM Multi-Agent Systems
- Where LLM Agents Fail and How They can Learn From Failures
- AgentDebugX: An Open-Source Toolkit for Failure Observability, Attribution, and Recovery in LLM Agents
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