Fault Localization

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3 papers in the last four weeks, down 25% on the four weeks before. 0.0% of all new papers.

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Automatic Harness Evolution for Hardware Design Verification: Can LLMs Consolidate Gains Across Discovered Harnesses?
Sep 24, 2026Kidus Seyoum, Ajay MitturFormal Hardware Verification Agent Harness Optimization
NVIDIA
EvEMTBench: An Open Benchmark for Machine Learning in Power System Protection
Sep 23, 2026Julian Oelhaf, Georg Kordowich, Christian Bergler +3Domain Generalization Fault Detection
Pattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen 91058, Germany · Institute of Electrical Energy Systems, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen 91058, Germany · Department of Electrical Engineering, Media and Computer Science, Ostbayerische Technische Hochschule Amberg-Weiden, Amberg 92224, Germany
A Systematic Evaluation of Machine Learning Methods for Fault Detection and Line Identification in Electrical Power Grids
Sep 15, 2026Julian Oelhaf, Georg Kordowich, Paula Andrea Pérez-Toro +4Fault Localization Fault Diagnosis
Pattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg · Institute of Electrical Energy Systems, Friedrich-Alexander-Universität Erlangen-Nürnberg
Diagnosing with Insights: Structured Analysis of Agent Failures via Behavioral Abstractions
Sep 2, 2026Jiayi Bi, Yanjie Gao, Yuanmin Xie +4Fault Localization LLM Agent Reliability
1Tsinghua University · 2Microsoft Research · 3Microsoft +1
Does Fault Localization Beat a Fresh Attempt? A Placebo-Controlled Study of Test-Guided Code Repair
Sep 1, 2026Anik JhaAutomated Program Repair Fault Localization
Independent Researcher
Cost-Effective Repository Exploration for Agentic Issue Localization
Aug 30, 2026Mohammad Nour Al Awad, Sergey IvanovAI Coding Agents Agentic Search
ITMO University Saint Petersburg, Russian Federation
ASCon: A Direction-Aware Reciprocal Agent--Step Contextualization Model for Failure Attribution in Multi-Agent Systems
Aug 11, 2026Shuyu Jiang, Yue Ran, Kaiyu Xu +5Agent Failure Analysis Multi-Agent LLM Systems
1Sichuan University, China · 2Nanyang Technological University, Singapore
TelemetrySuffBench: Is Agent Telemetry Sufficient for Failure-Origin Diagnosis?
Aug 8, 2026Yuxuan Zhu, Peng PuSelective Prediction Fault Detection
School of Data Science and Engineering East China Normal University Shanghai, China
Assessing the Generalization of Graph Neural Networks for Fault Location Across Increasing Distributed Energy Resource Penetration Levels
Jul 31, 2026Burak Karabulut, Olayiwola Arowolo, Carlo Manna +2OOD Generalization Fault Localization
Dept. of Information Technology, IDLab Ghent University – imec, Ghent, Belgium · Water and Energy Transition Unit VITO, Mol, Belgium · Dept. Electrical Sustainable Energy TU Delft, Delft, Netherlands
PhoenixRepair: Rethinking Repair Strategy Exploration in Software Agents
Jul 21, 2026Tianyue Jiang, Yanlin Wang, Xin He +7LLM Self-Correction Software Engineering Agents
Sun Yat-sen University, China · State Key Laboratory of Blockchain and Data Security, Zhejiang University, China · School of Cyber Science and Engineering, Huazhong University of Science and Technology, China +1
SHERLOC: Structured Diagnostic Localization for Code Repair Agents
Jun 23, 2026Hovhannes Tamoyan, Sean Narenthiran, Erik Arakelyan +2Software Engineering Agents AI Coding Agents
NVIDIA, Santa Clara, CA 95051, USA · 2TU Darmstadt, Darmstadt, Germany · 3hessian.AI & National Research Center for Applied Cybersecurity ATHENE
Holmes: Multimodal Agentic Diagnosis for Mixed-Language Mobile Crashes at Industrial Scale
Jun 20, 2026Jia Li, Wenyuan Ma, Ting Peng +2Multi-Agent LLM Systems Fault Localization
Tencent Inc. Shenzhen, China
A Unified Framework for Runtime Verification and Model-Based Diagnosis in LOLA
Jun 18, 2026Raik Hipler, Martin Leucker, Patrick RodlerFormal Verification Fault Localization
University of Luebeck, Luebeck, Germany · University of Klagenfurt, Klagenfurt, Austria
REFLECT: Intervention-Supported Error Attribution for Silent Failures in LLM Agent Traces
Jun 8, 2026Xiaofeng Lin, Yingxu Wang, Tung Sum Thomas Kwok +4LLM Agent Evaluation LLM Agents
University of California, Los Angeles, USA · Cisco, USA · University of Mississippi, USA
FLARE: Fine-Grained Diagnostic Feedback for LLM Code Refinement
Jun 2, 2026Yinsheng Yao, Hongxiang Zhang, Weixi Tong +1LLM Self-Refinement Automated Program Repair
Purdue University West Lafayette, IN, USA
FLARE: One-Shot PE-Level Fault Localization in Systolic Arrays via Algebraic Test Vectors
May 9, 2026Logashree Venkatasubramanian, Zishen Wan, Viveck CadambeAI Accelerator Inference Fault Localization
Georgia Institute of Technology · Georgia Institute of Technology School of Electrical and Computer Engineering Atlanta, Georgia, USA
ARISE: A Repository-level Graph Representation and Toolset for Agentic Program Repair and Fault Localization
May 4, 2026Shahd Seddik, Fahd Seddik, Amirrezza Esmaeili +2Automated Program Repair Static Code Analysis
FARD Lab, University of British Columbia, Kelowna, Canada
JFTA-Bench: Evaluate LLM's Ability of Tracking and Analyzing Malfunctions Using Fault Trees
Mar 24, 2026Yuhui Wang, Zhixiong Yang, Ming Zhang +10LLM Evaluation Multi-Turn Dialogue Evaluation
1Fudan University
AgentRx: Diagnosing AI Agent Failures from Execution Trajectories
Feb 2, 2026Shraddha Barke, Arnav Goyal, Alind Khare +3Agent Failure Analysis AI Agent Reliability
1Microsoft Research · 2Microsoft · 3UIUC
ProDER: A Continual Learning Approach for Fault Classification and Localization in Evolving Smart Grids
Nov 7, 2025Emad Efatinasab, Nahal Azadi, Davide Dalle Pezze +3Class-Incremental Learning Prototype-Based Classification
Department of Information Engineering, University of Padova. · School of Computing, Newcastle University.

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Automatic Harness Evolution for Hardware Design Verification: Can LLMs Consolidate Gains Across Discovered Harnesses?

Kidus Seyoum, Ajay Mittur

NVIDIA

Formal Hardware Verification Agent Harness Optimization Fault Localization LLM Agent Harnesses

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Agent behavior depends on the harness surrounding a language model, but it remains unclear whether language models can reliably improve such harnesses for hardware-design tasks. We study automatic harness evolution around a fixed subject model on 12 proprietary design-verification root-cause localization tasks. Across five trials per task, automatically evolved harnesses increased completed attempts by 71-76% and any-hit task coverage by 80-100%, while total correct attempts improved by only 18-24%. The strongest success reproducible at least twice result improved by one task, and later candidates exchanged gains across tasks rather than preserving them. An auxiliary candidate improved on a four-task validation set excluded from search but tied its baseline on a subsequent 12-task replay containing both search and validation tasks, so the selected gain did not persist across the full pool. Across the tested lineage, useful search, evidence, and finalization behaviors appeared in different candidates but did not consistently consolidate into a single harness that dominated across tasks and metrics. In a separate CVDP cross-benchmark case study, an automatically evolved defined-width repair harness produced 35.6% more functional passes than its 142-task reference baseline; the final functional verifier scored completed outputs but was not shown to the subject agent during repair. These results support archive-aware selection when evolution yields complementary specializations without consistent consolidation.

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