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Sullam Jeoung

ACL 2026×2强化学习与后训练推理智能体与工具效率与系统对齐与偏好
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0 一作 · 2 篇 · ACL 2026

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2026 顶会论文

2
作者位次 #7/12ACL 2026Poster· Natural Language Processing

SQL -Trail: Multi-Turn Reinforcement Learning with Interleaved Feedback for Text-to- SQL

Harper Hua · Zhen Han · Zhengyuan Shen · Meng-Chieh Lee · Sheng Guan · Qi Zhu · Sullam Jeoung · Yueyan Chen · Yunfei Bai · Shuai Wang · Vassilis N. Ioannidis · Huzefa Rangwala

摘要

While large language models (LLMs) have substantially improved Text-to-SQL generation, a pronounced gap remains between AI systems and human experts on challenging benchmarks such as BIRD-SQL. We argue this gap stems largely from the prevailing single-pass paradigm, which lacks the iterative reas...

强化学习与后训练推理智能体与工具OpenReview 项目页
作者位次 #3/9ACL 2026Findings· Findings of ACL

B ound RL : Efficient Token-level Structured Text Segmentation through Reinforced Boundary Generation

Haoyuan Li · Zhengyuan Shen · Sullam Jeoung · Yueyan Chen · Jiayu Li · Qi Zhu · Shuai Wang · Vassilis N. Ioannidis · Huzefa Rangwala

摘要

Structured texts – from technical reports to AI prompts – increasingly require segmentation into semantically meaningful components. Such texts often contain elements beyond plain language, such as code snippets, which conventional sentence-level segmentation methods cannot handle effectively. To...

强化学习与后训练效率与系统对齐与偏好OpenReview 项目页

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