5 papers
Soohak: A Mathematician-Curated Benchmark for Evaluating Research-level Math Capabilities of LLMs
Guijin Son, Seungone Kim, Catherine Arnett +73
Following the recent achievement of gold-medal performance on the IMO by frontier LLMs, the community is searching for the next meaningful and challenging target for measuring LLM…
Teaching Metric Distance to Discrete Autoregressive Language Models
Jiwan Chung, Saejin Kim, Yongrae Jo +3
Large language models (LLMs) operate as autoregressive predictors over discrete token vocabularies, a formulation that has enabled their adaptation far beyond natural language to v…
Tracing Mathematical Proficiency Through Problem-Solving Processes
Jungyang Park, Suho Kang, Jaewoo Park +4
Knowledge Tracing (KT) aims to model student's knowledge state and predict future performance to enable personalized learning in Intelligent Tutoring Systems. However, traditional…
Scalp Diagnostic System With Label-Free Segmentation and Training-Free Image Translation
Youngmin Kim, Saejin Kim, Hoyeon Moon +2
Scalp disorders are highly prevalent worldwide, yet remain underdiagnosed due to limited access to expert evaluation and the high cost of annotation. Although AI-based approaches h…
Zero-shot Multimodal Document Retrieval via Cross-modal Question Generation
Yejin Choi, Jaewoo Park, Janghan Yoon +3
Rapid advances in Multimodal Large Language Models (MLLMs) have expanded information retrieval beyond purely textual inputs, enabling retrieval from complex real world documents th…