M3KE: A Massive Multi-Level Multi-Subject Knowledge Evaluation Benchmark for Chinese Large Language Models (2023 · 34 citations)
Chinese large language models (LLMs) are improving quickly, but there has been no large Chinese benchmark that tests their knowledge the way the Chinese education system does.
From Curated Data to Scalable Models: Continual Pre-training of Dense and MoE Large Language Models for Tibetan (2026 · 1 citation)
Mainstream LLMs are trained mostly on high-resource languages, so Tibetan remains poorly served despite its millions of speakers and cultural importance. The authors build an end-to-end pipeline to close this gap.
ExpertIVS: Sociological Expert Driven Individual Value Simulation in Large Language Models (2026)
LLM agents used for social simulation often fail to reproduce how a specific person thinks about values. Typical approaches paste survey answers into prompts as isolated statements, which loses the links between value dimensions. Evaluation usually relies on re-administering multiple-choice questionnaires, which…

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Updated 1 November 2026