24 citations · 45 across the 21 of their papers we have counts for
4 papers · 1 filter
Change the Number, Change the Answer: Assessing Rating Scale Sensitivity in LLM-Based Text Scoring
Wonjeong Jo, Gyuwan Kim, Ming Shan Hee
Large language models (LLMs) are increasingly used in computational social science to assign scalar scores to social and psychological constructs. However, studies use different ra…
SkillGym: Training Skill-Use Agents with Automatic Verifiable Environment Generation
Renxi Wang, Mingshan Hee, Fajri Koto +2
Skills equip LLM agents with professional knowledge and guidance to complete long-horizon and complex tasks. Although skills have been widely adopted in recent agent paradigms and…
TABVERSE: Benchmarking Cross-Format Table Understanding in LLMs and VLMs
Momina Ahsan, Sarfraz Ahmad, Ming Shan Hee +2
Large Language Models (LLMs) and Vision-Language Models (VLMs) are increasingly evaluated on table reasoning tasks, but the role of table representation remains under-explored. In…
K2-V2: A 360-Open, Reasoning-Enhanced LLM
K2 Team, Zhengzhong Liu, Liping Tang +36
We introduce K2-V2, a 360-open LLM built from scratch as a superior base for reasoning adaptation, in addition to functions such as conversation and knowledge retrieval from genera…