activity
20232026
most citedLLMs can be easily Confused by Instructional Distractions

1 citations · 1 across the 4 of their papers we have counts for

collaborators

7 papers

cs.AI2026

BV Loss: Block Verification-Aware Loss for Block Diffusion Speculative Decoding

Suyoung Kim, Jahyun Koo, Hyeonjin Kim +5

Diffusion drafters accelerate speculative decoding by proposing multiple tokens in parallel. Despite recent advances in speculative decoding through sequence-level drafting and ver…

cs.LG2026

Carryover Drafting: Recycling Rejected States for Speculative Decoding

Jahyun Koo, Sunghyeon Woo, Jaeeun Kil +4

Speculative decoding accelerates LLM inference by verifying multiple drafted tokens in parallel, allowing a single target forward pass to accept several tokens. By construction, ve…

cs.AI2025

Program Synthesis via Test-Time Transduction

Kang-il Lee, Jahyun Koo, Seunghyun Yoon +4

We introduce transductive program synthesis, a new formulation of the program synthesis task that explicitly leverages test inputs during synthesis. While prior approaches to progr…

cs.CL2025

Black-Box Hallucination Detection via Consistency Under the Uncertain Expression

Seongho Joo, Kyungmin Min, Jahyun Koo +1

Despite the great advancement of Language modeling in recent days, Large Language Models (LLMs) such as GPT3 are notorious for generating non-factual responses, so-called "hallucin…

cs.CL2025★ 1 cited

LLMs can be easily Confused by Instructional Distractions

Yerin Hwang, Yongil Kim, Jahyun Koo +3

Despite the fact that large language models (LLMs) show exceptional skill in instruction following tasks, this strength can turn into a vulnerability when the models are required t…

cs.CL2024

SWITCH: Studying with Teacher for Knowledge Distillation of Large Language Models

Jahyun Koo, Yerin Hwang, Yongil Kim +3

Despite the success of Large Language Models (LLMs), they still face challenges related to high inference costs and memory requirements. To address these issues, Knowledge Distilla…

cs.CL2023

LifeTox: Unveiling Implicit Toxicity in Life Advice

Minbeom Kim, Jahyun Koo, Hwanhee Lee +3

As large language models become increasingly integrated into daily life, detecting implicit toxicity across diverse contexts is crucial. To this end, we introduce LifeTox, a datase…