CockpitHAT: Dependency-Graph-Driven Hierarchical Attribution for Embodied Multi-Agent Cockpits
cs.AI
Submitted: 2026-08-03
Updated: 2026-10-12
Project page: https://covesa.github.io/vehicle_signal_specification
Terminology
Sources
- Where Did It All Go Wrong? A Hierarchical Look into Multi-Agent Error Attribution
- AgentRx: Diagnosing AI Agent Failures from Execution Trajectories
- ChatGPT on the Road: Leveraging Large Language Model-Powered In-vehicle Conversational Agents for Safer and More Enjoyable Driving Experience
- AgentDrive: An Open Benchmark Dataset for Agentic AI Reasoning with LLM-Generated Scenarios in Autonomous Systems
- Who is Introducing the Failure? Automatically Attributing Failures of Multi-Agent Systems via Spectrum Analysis
- Benchmarking Contextual Understanding for In-Car Conversational Systems
- Rethinking Failure Attribution in Multi-Agent Systems: A Multi-Perspective Benchmark and Evaluation
- Solving math word problems with process- and outcome-based feedback
- Abduct, Act, Predict: Scaffolding Causal Inference for Automated Failure Attribution in Multi-Agent Systems
- AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation
- EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents
- ProcessBench: Identifying Process Errors in Mathematical Reasoning
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