Cover Image

When Chain-of-Thought Backfires: Evaluating Prompt Sensitivity in Medical Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sadanandan, Binesh, Behzadan, Vahid
Format:	Preprint
Published:	2026
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

VSF-Med:A Vulnerability Scoring Framework for Medical Vision-Language Models
by: Sadanandan, Binesh, et al.
Published: (2025)

PSF-Med: Measuring and Explaining Paraphrase Sensitivity in Medical Vision Language Models
by: Sadanandan, Binesh, et al.
Published: (2026)

Mechanistically Guided LoRA Improves Paraphrase Consistency in Medical Vision-Language Models
by: Sadanandan, Binesh, et al.
Published: (2026)

Predictive Entropy Links Calibration and Paraphrase Sensitivity in Medical Vision-Language Models
by: Sadanandan, Binesh, et al.
Published: (2026)

Consistent but Dangerous: Per-Sample Safety Classification Reveals False Reliability in Medical Vision-Language Models
by: Sadanandan, Binesh, et al.
Published: (2026)

TaCo: Enhancing Cross-Lingual Transfer for Low-Resource Languages in LLMs through Translation-Assisted Chain-of-Thought Processes
by: Upadhayay, Bibek, et al.
Published: (2023)

Promise of Data-Driven Modeling and Decision Support for Precision Oncology and Theranostics
by: Sadanandan, Binesh, et al.
Published: (2025)

Sandwich attack: Multi-language Mixture Adaptive Attack on LLMs
by: Upadhayay, Bibek, et al.
Published: (2024)

Comparative Study of Generative Models for Early Detection of Failures in Medical Devices
by: Sadanandan, Binesh, et al.
Published: (2025)

When Chain of Thought is Necessary, Language Models Struggle to Evade Monitors
by: Emmons, Scott, et al.
Published: (2025)

Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models
by: Sun, Jiashuo, et al.
Published: (2023)

Generalizable Chain-of-Thought Prompting in Mixed-task Scenarios with Large Language Models
by: Zou, Anni, et al.
Published: (2023)

General Purpose Verification for Chain of Thought Prompting
by: Vacareanu, Robert, et al.
Published: (2024)

GCoT: Chain-of-Thought Prompt Learning for Graphs
by: Yu, Xingtong, et al.
Published: (2025)

Can Separators Improve Chain-of-Thought Prompting?
by: Park, Yoonjeong, et al.
Published: (2024)

Prompting Science Report 2: The Decreasing Value of Chain of Thought in Prompting
by: Meincke, Lennart, et al.
Published: (2025)

Enhancing Depression Detection with Chain-of-Thought Prompting: From Emotion to Reasoning Using Large Language Models
by: Teng, Shiyu, et al.
Published: (2025)

Implicit Sentiment Analysis Based on Chain of Thought Prompting
by: Duan, Zhihua, et al.
Published: (2024)

To Reason or Not to: Selective Chain-of-Thought in Medical Question Answering
by: Zhan, Zaifu, et al.
Published: (2026)

Uncovering Latent Chain of Thought Vectors in Language Models
by: Zhang, Jason, et al.
Published: (2024)

SafeChain: Safety of Language Models with Long Chain-of-Thought Reasoning Capabilities
by: Jiang, Fengqing, et al.
Published: (2025)

Larger Language Models Don't Care How You Think: Why Chain-of-Thought Prompting Fails in Subjective Tasks
by: Chochlakis, Georgios, et al.
Published: (2024)

Applying Large Language Models and Chain-of-Thought for Automatic Scoring
by: Lee, Gyeong-Geon, et al.
Published: (2023)

Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language Models
by: Ye, Jiacheng, et al.
Published: (2024)

Beyond Single-Granularity Prompts: A Multi-Scale Chain-of-Thought Prompt Learning for Graph
by: Zheng, Ziyu, et al.
Published: (2025)

Emulated Disalignment: Safety Alignment for Large Language Models May Backfire!
by: Zhou, Zhanhui, et al.
Published: (2024)

EvalMORAAL: Interpretable Chain-of-Thought and LLM-as-Judge Evaluation for Moral Alignment in Large Language Models
by: Mohammadi, Hadi, et al.
Published: (2025)

FedCoT: Federated Chain-of-Thought Distillation for Large Language Models
by: Fan, Tao, et al.
Published: (2024)

Leveraging Large Language Models with Chain-of-Thought and Prompt Engineering for Traffic Crash Severity Analysis and Inference
by: Zhen, Hao, et al.
Published: (2024)

Evaluating the Performance of AI Text Detectors, Few-Shot and Chain-of-Thought Prompting Using DeepSeek Generated Text
by: Alshammari, Hulayyil, et al.
Published: (2025)

Measuring Faithfulness Depends on How You Measure: Classifier Sensitivity in LLM Chain-of-Thought Evaluation
by: Young, Richard J.
Published: (2026)

Semantic Gravity Wells: Why Negative Constraints Backfire
by: Rana, Shailesh
Published: (2026)

Upfront Chain-of-Thought: A Cooperative Framework for Chain-of-Thought Compression
by: Li, Chengzhengxu, et al.
Published: (2025)

Compositional Chain-of-Thought Prompting for Large Multimodal Models
by: Mitra, Chancharik, et al.
Published: (2023)

Harnessing Chain-of-Thought Metadata for Task Routing and Adversarial Prompt Detection
by: Marinelli, Ryan, et al.
Published: (2025)

When Chain-of-Thought Fails, the Solution Hides in the Hidden States
by: Mehrafarin, Houman, et al.
Published: (2026)

Learning Chain Of Thoughts Prompts for Predicting Entities, Relations, and even Literals on Knowledge Graphs
by: Baci, Alkid, et al.
Published: (2026)

Mechanics of Bias and Reasoning: Interpreting the Impact of Chain-of-Thought Prompting on Gender Bias in LLMs
by: Pearman, Edie, et al.
Published: (2026)

When More is Less: Understanding Chain-of-Thought Length in LLMs
by: Wu, Yuyang, et al.
Published: (2025)

Enhancing Zero-shot Chain of Thought Prompting via Uncertainty-Guided Strategy Selection
by: Kumar, Shanu, et al.
Published: (2024)