2 citations · 2 across the 1 of their papers we have counts for
2 papers
cs.CE2025
Redefining Evaluation Standards: A Unified Framework for Evaluating the Korean Capabilities of Language Models
Hanwool Lee, Dasol Choi, Sooyong Kim +6
Recent advancements in Korean large language models (LLMs) have driven numerous benchmarks and evaluation methods, yet inconsistent protocols cause up to 10 p.p performance gaps ac…
cs.CL2024★ 2 cited
Multi-Task Inference: Can Large Language Models Follow Multiple Instructions at Once?
Guijin Son, Sangwon Baek, Sangdae Nam +2
Large language models (LLMs) are typically prompted to follow a single instruction per inference call. In this work, we analyze whether LLMs also hold the capability to handle mult…