3 papers
cs.CL2025
BabyBabelLM: A Multilingual Benchmark of Developmentally Plausible Training Data
Jaap Jumelet, Abdellah Fourtassi, Akari Haga +23
We present BabyBabelLM, a multilingual collection of datasets modeling the language a person observes from birth until they acquire a native language. We curate developmentally pla…
cs.CL2025
STEM: Efficient Relative Capability Evaluation of LLMs through Structured Transition Samples
Haiquan Hu, Jiazhi Jiang, Shiyou Xu +2
Evaluating large language models (LLMs) has become increasingly challenging as model capabilities advance rapidly. While recent models often achieve higher scores on standard bench…
cs.MA2025
MetaCrit: A Critical Thinking Framework for Self-Regulated LLM Reasoning
Xinmeng Hou, Ziting Chang, Zhouquan Lu +5
Large language models (LLMs) fail on over one-third of multi-hop questions with counterfactual premises and remain vulnerable to adversarial prompts that trigger biased or factuall…