Sambaran Bandyopadhyay
1 indexed paper
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126
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NLP×1AI×1
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2026
Can LLMs Judge Better Than They Generate? Evaluating Task Asymmetry, Mechanistic Interpretability and Transferability for In-Context QA
This paper tests the assumption that evaluation is easier than generation in LLM-as-a-Judge and self-evaluation pipelines using a controlled in-context QA setting and reveals that evaluation attends to context less and generates lower accuracy than generation.
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