Unverified50% confidenceReleaseExact time
PerSo is a new benchmark for evaluating the social intelligence of LLMs in real persuasion scenarios, with data sourced from the ChangeMyView (CMV) community on Reddit.
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50%
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Long-term
Relevance
10/15/2026
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UnverifiedMethods for integrating LLMs with traditional data mining include using LLMs as feature extractors to generate embedding representations, leveraging LLMs for data augmentation and synthetic data generation, and combining knowledge graphs with LLMs to reduce hallucination issues.60% similarUnverifiedWhen an LLM generates an answer, it involves information sources at multiple levels: knowledge already encoded in the model weights, web content retrieved in real time, and trustworthy information filtered out through citation and consensus mechanisms.59% similarUnverifiedMainstream LLMs are based on the Transformer architecture and acquire capabilities through self-supervised learning of next-token prediction on massive text data.59% similarUnverified现有研究表明，当用户以特定提示方式与LLM交互时，可以显著改变其输出的多样性58% similarUnverifiedPerfReasoning evaluates LLMs from two levels: as direct performance reasoners, and as generators of analytical performance model code.57% similar
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