一作NeurIPS 2026Poster
A Simple Unigram Cross-Entropy Lens on the Lexical Imprint of Pre-training Data
Jeonghoon Kim · Woojin Chung · Woomin Song · Cheonbok Park · Nako Sung · Jinwoo Shin
数据与预训练OpenReview
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Jeonghoon Kim · Woojin Chung · Woomin Song · Cheonbok Park · Nako Sung · Jinwoo Shin
Kyudan Jung · Jihwan Kim · Soyoon Kim · Jeonghoon Kim · Jaegul Choo · Cheonbok Park
As the paradigm of AI shifts from text-based LLMs to Speech Language Models (SLMs), there is a growing demand for full-duplex systems capable of real-time, natural human-computer interaction.However, the development of such models is constrained by the scarcity of high-quality, multi-speaker conv...
Joosung Lee · Cheonbok Park · Hwiyeol Jo · Jeonghoon Kim · Joonsuk Park · Kang Min Yoo
Large Language Models (LLMs) are widely used to generate plausible text on online platforms, without revealing the generation process.As users increasingly encounter such black-box outputs, detecting hallucinations has become a critical challenge.To address this challenge, we focus on developing...
Juyong Jiang · Jiasi Shen · Sunghun Kim · Kang Min Yoo · Jeonghoon Kim · Sungju Kim
While Large Language Models (LLMs) have revolutionized code generation, standard “System 1” approaches that generate solutions in a single forward pass often hit a performance ceiling on complex algorithmic tasks. Existing iterative refinement strategies attempt to bridge this gap at inference ti...