In Proceedings of the 62nd An- nual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2024, Bangkok, Thailand, August 11-16, 2024, pages 1913–

Towards faithful, robust LLM specialists for evidence-based question-answering · 2024

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cs.CL · 2024-11-14 · conditional · novelty 6.0

MM-Eval is a new Modern Mongolian benchmark showing LLMs perform best at syntax, worse at semantics and knowledge, and worst at reasoning.

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MM-Eval: A Hierarchical Benchmark for Modern Mongolian Evaluation in LLMs cs.CL · 2024-11-14 · conditional · none · ref 10
MM-Eval is a new Modern Mongolian benchmark showing LLMs perform best at syntax, worse at semantics and knowledge, and worst at reasoning.