25 citations · 39 across the 16 of their papers we have counts for
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cs.IR2024★ 1 cited
A Gradient Accumulation Method for Dense Retriever under Memory Constraint
Jaehee Kim, Yukyung Lee, Pilsung Kang
InfoNCE loss is commonly used to train dense retriever in information retrieval tasks. It is well known that a large batch is essential to stable and effective training with InfoNC…
cs.CL2024★ 2 cited
Navigating the Path of Writing: Outline-guided Text Generation with Large Language Models
Yukyung Lee, Soonwon Ka, Bokyung Son +2
Large Language Models (LLMs) have impacted the writing process, enhancing productivity by collaborating with humans in content creation platforms. However, generating high-quality,…
cs.CL2024
CheckEval: A reliable LLM-as-a-Judge framework for evaluating text generation using checklists
Yukyung Lee, Joonghoon Kim, Jaehee Kim +4
Existing LLM-as-a-Judge approaches for evaluating text generation suffer from rating inconsistencies, with low agreement and high rating variance across different evaluator models.…