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Jongyoon Kim

ACL 2026×2评测与基准代码社会与人本效率与系统数据与预训练
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一作贡献60
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2 一作 · 2 篇 · ACL 2026

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2026 顶会论文

2
一作ACL 2026Poster· ACL Industry Track

Benchmarking Testing in Automated Theorem Proving

Jongyoon Kim · Hojae Han · seung-won hwang

摘要

Recent advances in large language models (LLMs) have shown promise in formal theorem proving, yet evaluating semantic correctness remains challenging. Existing evaluations rely on indirect proxies such as lexical overlap with human-annotated proof,or expensive manual inspection.Inspired by the sh...

评测与基准代码社会与人本OpenReview 项目页
一作ACL 2026Findings· Findings of ACL

U n I te: Uncertainty-based Iterative Document Sampling for Domain Adaptation in Information Retrieval

Jongyoon Kim · Minseong Hwang · seung-won hwang

摘要

Unsupervised domain adaptation generalizes neural retrievers to an unseen domain by generating pseudo queries on target domain documents. The quality and efficiency of this adaptation critically depend on which documents are selected for pseudo query generation. The existing document sampling met...

效率与系统数据与预训练检索与知识OpenReview 项目页

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