Cover Image

Accurate Failure Prediction in Agents Does Not Imply Effective Failure Prevention

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Vasudev, Rakshith, Russak, Melisa, Bikel, Dan, Alshikh, Waseem
Format:	Preprint
Published:	2026
Subjects:	Computation and Language Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Shorthand for Thought: Compressing LLM Reasoning via Entropy-Guided Supertokens
by: Zhao, Zhenyu, et al.
Published: (2026)

OmniACT: A Dataset and Benchmark for Enabling Multimodal Generalist Autonomous Agents for Desktop and Web
by: Kapoor, Raghav, et al.
Published: (2024)

Expect the Unexpected: FailSafe Long Context QA for Finance
by: Kamble, Kiran, et al.
Published: (2025)

The Price of Agreement: Measuring LLM Sycophancy in Agentic Financial Applications
by: Zhao, Zhenyu, et al.
Published: (2026)

Learning from Failures: Understanding LLM Alignment through Failure-Aware Inverse RL
by: Patel, Nyal, et al.
Published: (2025)

Writing in the Margins: Better Inference Pattern for Long Context Retrieval
by: Russak, Melisa, et al.
Published: (2024)

Failure Modes of Maximum Entropy RLHF
by: Çağatan, Ömer Veysel, et al.
Published: (2025)

Failure Modes of LLMs for Causal Reasoning on Narratives
by: Yamin, Khurram, et al.
Published: (2024)

Capable but Unreliable: Canonical Path Deviation as a Causal Mechanism of Agent Failure in Long-Horizon Tasks
by: Lee, Wilson Y.
Published: (2026)

LLMs Encode Their Failures: Predicting Success from Pre-Generation Activations
by: Lugoloobi, William, et al.
Published: (2026)

Large Language Model Reasoning Failures
by: Song, Peiyang, et al.
Published: (2026)

A Frugal Model for Accurate Early Student Failure Prediction
by: Gagaoua, Ikram, et al.
Published: (2025)

Mass-Producing Failures of Multimodal Systems with Language Models
by: Tong, Shengbang, et al.
Published: (2023)

A Surprising Failure? Multimodal LLMs and the NLVR Challenge
by: Wu, Anne, et al.
Published: (2024)

Learning from Failures in Multi-Attempt Reinforcement Learning
by: Chung, Stephen, et al.
Published: (2025)

Aligning Language Models with Clinical Expertise: DPO for Heart Failure Nursing Documentation in Critical Care
by: Fan, Junyi, et al.
Published: (2025)

Efficient Solutions For An Intriguing Failure of LLMs: Long Context Window Does Not Mean LLMs Can Analyze Long Sequences Flawlessly
by: Hosseini, Peyman, et al.
Published: (2024)

Revisiting On-Policy Distillation: Empirical Failure Modes and Simple Fixes
by: Fu, Yuqian, et al.
Published: (2026)

Smaug: Fixing Failure Modes of Preference Optimisation with DPO-Positive
by: Pal, Arka, et al.
Published: (2024)

Post-training an LLM for RAG? Train on Self-Generated Demonstrations
by: Finlayson, Matthew, et al.
Published: (2025)

Is the Reversal Curse a Binding Problem? Uncovering Limitations of Transformers from a Basic Generalization Failure
by: Wang, Boshi, et al.
Published: (2025)

CoG: Controllable Graph Reasoning via Relational Blueprints and Failure-Aware Refinement over Knowledge Graphs
by: Liu, Yuanxiang, et al.
Published: (2026)

Arithmetic OOD Failure Unfolds in Stages in Minimal GPTs
by: Shintani, Seine A.
Published: (2026)

Training Reasoning Models on Saturated Problems via Failure-Prefix Conditioning
by: Kim, Minwu, et al.
Published: (2026)

Diagnosing Structural Failures in LLM-Based Evidence Extraction for Meta-Analysis
by: Tan, Zhiyin, et al.
Published: (2026)

Replay Failures as Successes: Sample-Efficient Reinforcement Learning for Instruction Following
by: Zhang, Kongcheng, et al.
Published: (2025)

Diversity Measures: Domain-Independent Proxies for Failure in Language Model Queries
by: Ngu, Noel, et al.
Published: (2023)

Efficient Detection of Intermittent Job Failures Using Few-Shot Learning
by: Aïdasso, Henri, et al.
Published: (2025)

A Causal World Model Underlying Next Token Prediction: Exploring GPT in a Controlled Environment
by: Rohekar, Raanan Y., et al.
Published: (2024)

Narrative Feature or Structured Feature? A Study of Large Language Models to Identify Cancer Patients at Risk of Heart Failure
by: Chen, Ziyi, et al.
Published: (2024)

Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters
by: Shyam, Vasudev, et al.
Published: (2024)

When Shallow Wins: Silent Failures and the Depth-Accuracy Paradox in Latent Reasoning
by: Sahoo, Subramanyam, et al.
Published: (2026)

Hindsight-Anchored Policy Optimization: Turning Failure into Feedback in Sparse Reward Settings
by: Wu, Yuning, et al.
Published: (2026)

Predicting Intermittent Job Failure Categories for Diagnosis Using Few-Shot Fine-Tuned Language Models
by: Aïdasso, Henri, et al.
Published: (2026)

A Implies B: Circuit Analysis in LLMs for Propositional Logical Reasoning
by: Hong, Guan Zhe, et al.
Published: (2024)

AdaExplore: Failure-Driven Adaptation and Diversity-Preserving Search for Efficient Kernel Generation
by: Du, Weihua, et al.
Published: (2026)

From Signal Degradation to Computation Collapse: Uncovering the Two Failure Modes of LLM Quantization
by: Zhou, Chenxi, et al.
Published: (2026)

Self-Evaluating LLMs for Multi-Step Tasks: Stepwise Confidence Estimation for Failure Detection
by: Mavi, Vaibhav, et al.
Published: (2025)

Backtracking Improves Generation Safety
by: Zhang, Yiming, et al.
Published: (2024)

When Stability Fails: Hidden Failure Modes Of LLMS in Data-Constrained Scientific Decision-Making
by: Riasat, Nazia
Published: (2026)