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A Closer Look at Bias and Chain-of-Thought Faithfulness of Large (Vision) Language Models

v1v2 (latest)

A Closer Look at Bias and Chain-of-Thought Faithfulness of Large (Vision) Language Models

Conference on Empirical Methods in Natural Language Processing (EMNLP), 2025

29 May 2025

S. Balasubramanian

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Papers citing "A Closer Look at Bias and Chain-of-Thought Faithfulness of Large (Vision) Language Models"

3 / 3 papers shown

Evaluating Reasoning Faithfulness in Medical Vision-Language Models using Multimodal Perturbations

Evaluating Reasoning Faithfulness in Medical Vision-Language Models using Multimodal Perturbations

Nicolas Lenhart

Jean-Benoit Delbrouck

Daniel Rueckert

Lisa Christine Adams

Keno K. Bressem

137

1

0

13 Oct 2025

DecepChain: Inducing Deceptive Reasoning in Large Language Models

DecepChain: Inducing Deceptive Reasoning in Large Language Models

171

1

0

30 Sep 2025

GRPO-MA: Multi-Answer Generation in GRPO for Stable and Efficient Chain-of-Thought Training

GRPO-MA: Multi-Answer Generation in GRPO for Stable and Efficient Chain-of-Thought Training

171

5

0

29 Sep 2025