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Show HN: Research on LLM Disagreement on Factual Claims
研究大模型在事实性主张上的分歧，帮你看清不同LLM的可靠性差异与潜在盲点。
Article URL: https://zenodo.org/records/21829261 Comments URL: https://news.ycombinator.com/item?id=49272730 Points: 1 # Comments: 1
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Cross-Model Disagreement as a Label-Free Correctness Signal
利用不同模型间的分歧作为无标签正确性信号，破解自信错误检测难题。
arXiv:2603.25450v2 Announce Type: replace Abstract: Detecting when a language model is wrong without ground truth labels is a fundamental challenge fo…
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When Models Disagree: Rethinking LLM Evaluation for Public Comment Analysis
探讨LLM在公共评论分析中的评估困境，当模型意见分歧时，传统准确性指标失效，需重新思考评价体系
arXiv:2605.29025v1 Announce Type: new Abstract: Federal agencies are deploying large language models (LLMs) to categorize public comment corpora, wher…