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Junseok Kim

ACL 2026ICML 2026强化学习与后训练长上下文与架构效率与系统推理数据与预训练
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2 一作 · 2 篇 · ACL 2026 / ICML 2026

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2026 顶会论文

2
一作ICML 2026Poster· Reinforcement Learning / Batch/Offline

Compositional Transduction with Latent Analogies for Offline Goal-Conditioned Reinforcement Learning

Junseok Kim · Dohyeong Kim · Mineui Hong · Songhwai Oh

强化学习与后训练长上下文与架构OpenReview
一作ACL 2026Findings· Findings of ACL

Reliability-Aware Adaptive Self-Consistency for Efficient Sampling in LLM Reasoning

Junseok Kim · Nakyeong Yang · Kyungmin Min · Kyomin Jung

摘要

Self-Consistency improves reasoning reliability through multi-sample aggregation, but incurs substantial inference cost. Adaptive self-consistency methods mitigate this issue by adjusting the sampling budget; however, they rely on count-based stopping rules that treat all responses equally, often...

效率与系统推理数据与预训练OpenReview 项目页

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