1 citations · 2 across the 18 of their papers we have counts for
6 papers · 1 filter
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…
PRAGMA: Evaluating Personalized Guidance with Memory Alignment in Lifelong Conversations
Hyojeong Yu, Hyukhun Koh, Minsung Kim +2
Large language models (LLMs) are increasingly deployed as personalized assistants that interact with users over extended periods of time. As conversations grow longer, relying on f…
Language Shapes Instruction Hierarchy Compliance in Multilingual LLMs
Jiwon Moon, Yerin Hwang, Kyomin Jung
Instruction hierarchy (IH) requires models to prioritize instructions by source, ensuring that higher-priority instructions override lower-priority ones. Despite its importance for…
Casual as an Anchor: Resolving Supervision Misalignment in Formality Transfer Dataset
Hyojeong Yu, Hyukhun Koh, Minsung Kim +1
Formality transfer is commonly framed as a symmetric bidirectional task between informal and formal registers. We argue that this framing conceals a supervision design flaw in exis…
When Wording Steers the Evaluation: Framing Bias in LLM judges
Yerin Hwang, Dongryeol Lee, Taegwan Kang +2
Large language models (LLMs) are known to produce varying responses depending on prompt phrasing, indicating that subtle guidance in phrasing can steer their answers. However, the…
Judging Against the Reference: Uncovering Knowledge-Driven Failures in LLM-Judges on QA Evaluation
Dongryeol Lee, Yerin Hwang, Taegwan Kang +3
While large language models (LLMs) are increasingly used as automatic judges for question answering (QA) and other reference-conditioned evaluation tasks, little is known about the…