Cover Image

Contrastive Attribution in the Wild: An Interpretability Analysis of LLM Failures on Realistic Benchmarks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tan, Rongyuan, Zhang, Jue, Li, Zhuozhao, Lin, Qingwei, Rajmohan, Saravan, Zhang, Dongmei
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

From Reasoning to Answer: Empirical, Attention-Based and Mechanistic Insights into Distilled DeepSeek R1 Models
by: Zhang, Jue, et al.
Published: (2025)

MEETING DELEGATE: Benchmarking LLMs on Attending Meetings on Our Behalf
by: Hu, Lingxiang, et al.
Published: (2025)

LLM Reasoning as Trajectories: Step-Specific Representation Geometry and Correctness Signals
by: Sun, Lihao, et al.
Published: (2026)

Navigating the Unknown: A Chat-Based Collaborative Interface for Personalized Exploratory Tasks
by: Peng, Yingzhe, et al.
Published: (2024)

AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation
by: Fu, Jia, et al.
Published: (2024)

Privacy in Action: Towards Realistic Privacy Mitigation and Evaluation for LLM-Powered Agents
by: Wang, Shouju, et al.
Published: (2025)

Text2Grad: Reinforcement Learning from Natural Language Feedback
by: Wang, Hanyang, et al.
Published: (2025)

The Vision of Autonomic Computing: Can LLMs Make It a Reality?
by: Zhang, Zhiyang, et al.
Published: (2024)

CI-Work: Benchmarking Contextual Integrity in Enterprise LLM Agents
by: Fu, Wenjie, et al.
Published: (2026)

Self-Evolved Reward Learning for LLMs
by: Huang, Chenghua, et al.
Published: (2024)

EfficientRAG: Efficient Retriever for Multi-Hop Question Answering
by: Zhuang, Ziyuan, et al.
Published: (2024)

Enabling Autonomic Microservice Management through Self-Learning Agents
by: Yu, Fenglin, et al.
Published: (2025)

G-KV: Decoding-Time KV Cache Eviction with Global Attention
by: Liao, Mengqi, et al.
Published: (2025)

DoVer: Intervention-Driven Auto Debugging for LLM Multi-Agent Systems
by: Ma, Ming, et al.
Published: (2025)

Distill Not Only Data but Also Rewards: Can Smaller Language Models Surpass Larger Ones?
by: Zhang, Yudi, et al.
Published: (2025)

Learning to Refine: Self-Refinement of Parallel Reasoning in LLMs
by: Wang, Qibin, et al.
Published: (2025)

Call Me When Necessary: LLMs can Efficiently and Faithfully Reason over Structured Environments
by: Cheng, Sitao, et al.
Published: (2024)

UFO: A UI-Focused Agent for Windows OS Interaction
by: Zhang, Chaoyun, et al.
Published: (2024)

Multi-Preference Optimization: Generalizing DPO via Set-Level Contrasts
by: Gupta, Taneesh, et al.
Published: (2024)

Large Language Model-Brained GUI Agents: A Survey
by: Zhang, Chaoyun, et al.
Published: (2024)

AXIS: Efficient Human-Agent-Computer Interaction with API-First LLM-Based Agents
by: Lu, Junting, et al.
Published: (2024)

AgentGen: Enhancing Planning Abilities for Large Language Model based Agent via Environment and Task Generation
by: Hu, Mengkang, et al.
Published: (2024)

API Agents vs. GUI Agents: Divergence and Convergence
by: Zhang, Chaoyun, et al.
Published: (2025)

WebXSkill: Skill Learning for Autonomous Web Agents
by: Wang, Zhaoyang, et al.
Published: (2026)

Sharingan: Extract User Action Sequence from Desktop Recordings
by: Chen, Yanting, et al.
Published: (2024)

Nissist: An Incident Mitigation Copilot based on Troubleshooting Guides
by: An, Kaikai, et al.
Published: (2024)

Zipage: Maintain High Request Concurrency for LLM Reasoning through Compressed PagedAttention
by: Liao, Mengqi, et al.
Published: (2026)

RuAG: Learned-rule-augmented Generation for Large Language Models
by: Zhang, Yudi, et al.
Published: (2024)

Benchmarking LLM Tool-Use in the Wild
by: Yu, Peijie, et al.
Published: (2026)

SWE-bench Goes Live!
by: Zhang, Linghao, et al.
Published: (2025)

AMPO: Active Multi-Preference Optimization for Self-play Preference Selection
by: Gupta, Taneesh, et al.
Published: (2025)

REFA: Reference Free Alignment for multi-preference optimization
by: Gupta, Taneesh, et al.
Published: (2024)

Large Language Models can Deliver Accurate and Interpretable Time Series Anomaly Detection
by: Liu, Jun, et al.
Published: (2024)

ACON: Optimizing Context Compression for Long-horizon LLM Agents
by: Kang, Minki, et al.
Published: (2025)

Budget-Aware Agentic Routing via Boundary-Guided Training
by: Zhang, Caiqi, et al.
Published: (2026)

Hybrid-RACA: Hybrid Retrieval-Augmented Composition Assistance for Real-time Text Prediction
by: Xia, Menglin, et al.
Published: (2023)

AI Delegates with a Dual Focus: Ensuring Privacy and Strategic Self-Disclosure
by: Zhang, Zhiyang, et al.
Published: (2024)

CAST: Achieving Stable LLM-based Text Analysis for Data Analytics
by: Xie, Jinxiang, et al.
Published: (2026)

Why does Prediction Accuracy Decrease over Time? Uncertain Positive Learning for Cloud Failure Prediction
by: Li, Haozhe, et al.
Published: (2024)

Abduct, Act, Predict: Scaffolding Causal Inference for Automated Failure Attribution in Multi-Agent Systems
by: West, Alva, et al.
Published: (2025)