Mo Li

Mo Li has 2 papers in our library, in 2025–2026, most of them on Language models & pretraining; often with Haodong Duan, Kai Chen, Maosong Cao.

2 papers in our library · 2025–2026

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Condor: Enhance LLM Alignment with Knowledge-Driven Data Synthesis and Refinement (2025 · 11 citations)
High-quality human-written SFT data is becoming scarce, and existing synthesis methods often depend on seed datasets, produce questions with limited variety, and offer weak quality control.
OpenCompass: A Universal Evaluation Platform for Large Language Models (2026 · 1 citation)
Judging an LLM's overall quality usually means running dozens or hundreds of static benchmarks. Each benchmark has its own scoring method (regex matching, ROUGE, model-based judging), its own sensitivity to prompts, and its own data preparation and output cleanup. This fragmentation makes large, cross-domain…

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Papers of our library cite their works 12 times (of the 149,439 papers whose bibliographies we read); 5 citing papers with a page here →.

Updated 31 October 2026