Delta-MFP: counterfactual-replay failure diagnosis for local tool-use agents (FAGEN @ ICML 2026)
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Updated
Oct 3, 2026 - Python
Delta-MFP: counterfactual-replay failure diagnosis for local tool-use agents (FAGEN @ ICML 2026)
Research prototype for trace-based observability and failure analysis in retrieval-augmented generation.
Quantify the compute and developer-time cost of flaky tests from JUnit XML - classify flakes vs genuine failures across reruns, rank them by cost. Python 3.11, stdlib only.
Autonomous failure investigation, root-cause analysis, and validated interventions for LLMs, VLMs, and agents.
Giving Every Modality a Voice in Microservice Failure Diagnosis via Multimodal Adaptive Optimization
[IJCNN'24] Official repository of "FashionFail: Addressing Failure Cases in Fashion Object Detection and Segmentation".
Automated AI-powered root cause analysis for GitHub Actions workflow failures.
GenPark AI Agent Skill - Episodic verbal self-reflection memory, failure trajectory analyzer, and self-correction prompt optimizer.
A framework for per-modality failure analysis and missing-data evaluation in multimodal clinical AI.
GenPark AI Agent Skill - Episodic verbal self-reflection memory, failure trajectory analyzer, and self-correction prompt optimizer.
Failure Compiler for AI agents: turn failed outputs into replayable regression cases.
MedFailBench exposes critical safety boundary failures in medical AI through clinician built, reproducible open source evaluation.
A graph-based failure modeling and deterministic detection system for LLM agent runtimes.
Post-hoc audit of a 22.3σ val_bpb false-positive in a 19M-parameter knowledge distillation experiment. Dual-dimension attribution: token-level gradient + sample-level pass@k.
AI agent for failure analysis and O&M indicators in wind farms. Developed for the Alura Challenge during the Oracle Next Education AI Tech Builder training program.
Toolkit for analysing trajectory predictors: trajectory metrics and rule checks, input-novelty percentiles, risk maps and decision-tree failure rules behind a Python library, CLI, FastAPI service and Streamlit dashboard.
Software-only embodied AI evaluation stack for benchmark trajectories, ROS-compatible logs, replay, failure analysis, and comparison reports.
Benchmarking multi-agent orchestration reliability: routing, failure recovery, cascade propagation, and decomposition quality.
Evaluation-driven Agent Runtime & Formal Evaluation platform for CI/Test Failure Triage, with reproducible trajectories, evidence attribution and controlled ablations.
A model-agnostic benchmark for sealed, re playable AI reasoning failures and tamper-evident failure history.
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