Image de couverture de livre

When Stability Fails: Hidden Failure Modes Of LLMS in Data-Constrained Scientific Decision-Making

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteur principal:	Riasat, Nazia
Format:	Preprint
Publié:	2026
Sujets:	Machine Learning Artificial Intelligence Computation and Language
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

When Chain-of-Thought Fails, the Solution Hides in the Hidden States
par: Mehrafarin, Houman, et autres
Publié: (2026)

When Marginals Match but Structure Fails: Covariance Fidelity in Generative Models
par: Riasat, Nazia
Publié: (2026)

When LLM Judge Scores Look Good but Best-of-N Decisions Fail
par: Landesberg, Eddie
Publié: (2026)

Label-free Node Classification on Graphs with Large Language Models (LLMS)
par: Chen, Zhikai, et autres
Publié: (2023)

Why Reasoning Fails to Plan: A Planning-Centric Analysis of Long-Horizon Decision Making in LLM Agents
par: Wang, Zehong, et autres
Publié: (2026)

When Refusals Fail: Unstable Safety Mechanisms in Long-Context LLM Agents
par: Hadeliya, Tsimur, et autres
Publié: (2025)

Revisiting On-Policy Distillation: Empirical Failure Modes and Simple Fixes
par: Fu, Yuqian, et autres
Publié: (2026)

Smaug: Fixing Failure Modes of Preference Optimisation with DPO-Positive
par: Pal, Arka, et autres
Publié: (2024)

Geometry of Decision Making in Language Models
par: Joshi, Abhinav, et autres
Publié: (2025)

When Shallow Wins: Silent Failures and the Depth-Accuracy Paradox in Latent Reasoning
par: Sahoo, Subramanyam, et autres
Publié: (2026)

MDAgents: An Adaptive Collaboration of LLMs for Medical Decision-Making
par: Kim, Yubin, et autres
Publié: (2024)

From Signal Degradation to Computation Collapse: Uncovering the Two Failure Modes of LLM Quantization
par: Zhou, Chenxi, et autres
Publié: (2026)

Heuristics and Biases in AI Decision-Making: Implications for Responsible AGI
par: Saeedi, Payam, et autres
Publié: (2024)

Diagnosing Transformers: Illuminating Feature Spaces for Clinical Decision-Making
par: Hsu, Aliyah R., et autres
Publié: (2023)

Building Decision Making Models Through Language Model Regime
par: Zhang, Yu, et autres
Publié: (2024)

Compute-Constrained Data Selection
par: Yin, Junjie Oscar, et autres
Publié: (2024)

Skin-in-the-Game: Decision Making via Multi-Stakeholder Alignment in LLMs
par: Sel, Bilgehan, et autres
Publié: (2024)

DeLLMa: Decision Making Under Uncertainty with Large Language Models
par: Liu, Ollie, et autres
Publié: (2024)

Language Agents for Hypothesis-driven Clinical Decision Making with Reinforcement Learning
par: Bani-Harouni, David, et autres
Publié: (2025)

AgentCollabBench: Diagnosing When Good Agents Make Bad Collaborators
par: Mazumder, Aritra, et autres
Publié: (2026)

Principled Data Selection for Alignment: The Hidden Risks of Difficult Examples
par: Gao, Chengqian, et autres
Publié: (2025)

Calibration vs Decision Making: Revisiting the Reliability Paradox in Unlearned Language Models
par: Shukla, Divyaksh, et autres
Publié: (2026)

UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-Making
par: Duan, Jinhao, et autres
Publié: (2025)

Scaling Data-Constrained Language Models
par: Muennighoff, Niklas, et autres
Publié: (2023)

Language Agents as Digital Representatives in Collective Decision-Making
par: Jarrett, Daniel, et autres
Publié: (2025)

AI Scientists Fail Without Strong Implementation Capability
par: Zhu, Minjun, et autres
Publié: (2025)

Tools Fail: Detecting Silent Errors in Faulty Tools
par: Sun, Jimin, et autres
Publié: (2024)

Implicit Strategic Optimization: Rethinking Long-Horizon Decision-Making in Adversarial Poker Environments
par: Xia, Boyang, et autres
Publié: (2026)

Odysseus: Scaling VLMs to 100+ Turn Decision-Making in Games via Reinforcement Learning
par: Shi, Chengshuai, et autres
Publié: (2026)

A Graph-Retrieval-Augmented Generation Framework Enhances Decision-Making in the Circular Economy
par: Zhao, Yang, et autres
Publié: (2025)

When Bad Data Leads to Good Models
par: Li, Kenneth, et autres
Publié: (2025)

Current Agents Fail to Leverage World Model as Tool for Foresight
par: Qian, Cheng, et autres
Publié: (2026)

Ask Again, Then Fail: Large Language Models' Vacillations in Judgment
par: Xie, Qiming, et autres
Publié: (2023)

Embodied Agent Interface: Benchmarking LLMs for Embodied Decision Making
par: Li, Manling, et autres
Publié: (2024)

Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting
par: Chen, Wei, et autres
Publié: (2025)

ReflAct: World-Grounded Decision Making in LLM Agents via Goal-State Reflection
par: Kim, Jeonghye, et autres
Publié: (2025)

CliBench: A Multifaceted and Multigranular Evaluation of Large Language Models for Clinical Decision Making
par: Ma, Mingyu Derek, et autres
Publié: (2024)

Ask more, know better: Reinforce-Learned Prompt Questions for Decision Making with Large Language Models
par: Yan, Xue, et autres
Publié: (2023)

Detection Is Cheap, Routing Is Learned: Why Refusal-Based Alignment Evaluation Fails
par: Frank, Gregory N.
Publié: (2026)

Adaptation Odyssey in LLMs: Why Does Additional Pretraining Sometimes Fail to Improve?
par: Öncel, Fırat, et autres
Publié: (2024)