#reasoning evaluation try — diffusion models for protein design efficient attention beyond transformers papers like retrieval-augmented generation
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4 papers match
cs.CL 2026 ☆
Can LVLMs Uncover the Truth Behind Visual Illusions? An Analysis of Perceptual and Reasoning Capabilities Liangjie Zhao, Jiaqing Lyu, Kexin Tang +5
The paper introduces IllusionReasoning, a benchmark that uses visual illusion images to jointly assess perception and reasoning abilities of large vision‑language models, revealing…
#visual illusions #vision-language models #reasoning evaluation #benchmark
cs.CR 2026 ☆
A Reference-Free Score for Detecting Silent Reasoning Failures in Large Language Models Vivek Shukla, Varun Shukla, Atul +2
The paper proposes the Reasoning Answer Faithfulness Score (RAFS), a reference‑free metric that evaluates whether a large language model’s mathematical chain‑of‑thought trace is lo…
#large language models #chain of thought #reasoning evaluation #reference-free metrics
cs.CL 2026 ☆
Controlled Reformulation Testing for Logical Consistency in Large Language Models Alexander Gu, Alan Chen
The paper introduces CRTBench, a benchmark of 350 question families to test whether large language models give consistent answers across controlled reformulations such as contrapos…
#logical consistency #large language models #benchmark #reformulation testing
cs.CL 2026 ☆
Filtered Reasoning Score: Evaluating Reasoning Quality on a Model's Most-Confident Traces Manas Pathak, Xingyao Chen, Shuozhe Li +2
The paper introduces the Filtered Reasoning Score (FRS), a metric that evaluates the quality of reasoning traces from large language models by focusing on the most confident genera…
#large language models #reasoning evaluation #confidence filtering #benchmarking
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