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Wenhe Sun

2 accepted papers

2026

Do LLMs Signal When They’re Right? Evidence from Neuron Agreement

ICML 2026spotlight

Large language models (LLMs) commonly boost reasoning via sample-evaluate-ensemble decoders (e.g., majority voting), achieving label free gains without ground truth. However, prevailing strategies score candidates using only external outputs such as token probabilities, entropies, or self evaluation…

Cited by 0SourceScholar
2024

Plum: Prompt Learning using Metaheuristics

ACL 2024findings

Since the emergence of large language models, prompt learning has become a popular method for optimizing and customizing these models. Special prompts, such as Chain-of-Thought, have even revealed previously unknown reasoning capabilities within these models. However, the progress of discovering eff…

Cited by 13SourcePDFScholar