4 citations · 12 across the 20 of their papers we have counts for
3 papers · 1 filter
Train Long, Think Short: Curriculum Learning for Efficient Reasoning
Hasan Abed Al Kader Hammoud, Kumail Alhamoud, Abed Hammoud +3
Recent work on enhancing the reasoning abilities of large language models (LLMs) has introduced explicit length control as a means of constraining computational cost while preservi…
KScope: A Framework for Characterizing the Knowledge Status of Language Models
Yuxin Xiao, Shan Chen, Jack Gallifant +3
Characterizing a large language model's (LLM's) knowledge of a given question is challenging. As a result, prior work has primarily examined LLM behavior under knowledge conflicts,…
MedPAIR: Measuring Physicians and AI Relevance Alignment in Medical Question Answering
Yuexing Hao, Kumail Alhamoud, Hyewon Jeong +6
Large Language Models (LLMs) have demonstrated remarkable performance on various medical question-answering (QA) benchmarks, including standardized medical exams. However, correct…