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Jaehoon Lee

ACL 2026×2代码评测与基准检索与知识强化学习与后训练多模态
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一作贡献30
核心/参与5
方向广度10
合作网络3
1 一作 · 2 篇 · ACL 2026

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2026 顶会论文

2
作者位次 #3/6ACL 2026Poster· Natural Language Processing

R e FE ree: Reference-Free and Fine-Grained Method for Evaluating Factual Consistency in Real-World Code Summarization

Suyoung Bae · CheolWon Na · Jaehoon Lee · Yumin Lee · YunSeok Choi · Jee-Hyong LEE

摘要

As Large Language Models (LLMs) have become capable of generating long and descriptive code summaries, accurate and reliable evaluation of factual consistency has become a critical challenge. However, previous evaluation methods are primarily designed for short summaries of isolated code snippets...

评测与基准检索与知识代码OpenReview 项目页
一作ACL 2026Findings· Findings of ACL

EXPO - SQL : Execution-based Clause-level Policy Optimization for Text-to- SQL

Jaehoon Lee · CheolWon Na · Suyoung Bae · Jin-Seop Lee · Jihyung Lee · YunSeok Choi · Jee-Hyong LEE

摘要

Text-to-SQL enables users to query databases using natural language by generating executable SQL queries. Recent methods have increasingly adopted Large Language Models based reinforcement learning (RL) to leverage execution feedback for training. However, existing RL methods assign uniform query...

强化学习与后训练代码多模态OpenReview 项目页

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