2 citations · 2 across the 13 of their papers we have counts for
5 papers · 1 filter
Edu-QuRating: Multi-Dimensional Educational Data Curation with Distilled Pairwise Judgements
Oliver G. B. Garrod, Robin A. A. Ince, Meng Liu +6
Educational data filters have become a practical way to improve language-model pre-training, but most filters treat educational value as a single scalar property. This may be too b…
Agent-as-a-Judge
Runyang You, Hongru Cai, Caiqi Zhang +5
LLM-as-a-Judge has revolutionized AI evaluation by leveraging large language models for scalable assessments. However, as evaluands become increasingly complex, specialized, and mu…
Inverse IFEval: Can LLMs Unlearn Stubborn Training Conventions to Follow Real Instructions?
Qinyan Zhang, Xinping Lei, Ruijie Miao +18
Large Language Models (LLMs) achieve strong performance on diverse tasks but often exhibit cognitive inertia, struggling to follow instructions that conflict with the standardized…
Benchmarking the Pedagogical Knowledge of Large Language Models
Maxime Lelièvre, Amy Waldock, Meng Liu +7
Benchmarks like Massive Multitask Language Understanding (MMLU) have played a pivotal role in evaluating AI's knowledge and abilities across diverse domains. However, existing benc…
Hunyuan-TurboS: Advancing Large Language Models through Mamba-Transformer Synergy and Adaptive Chain-of-Thought
Tencent Hunyuan Team, Ao Liu, Botong Zhou +248
As Large Language Models (LLMs) rapidly advance, we introduce Hunyuan-TurboS, a novel large hybrid Transformer-Mamba Mixture of Experts (MoE) model. It synergistically combines Mam…