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20232026
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cs.CL2026

EditPPT: Faithful Long-Deck Slide Editing via Structured Tool-Using Multi-Agent with Dual-Modal Validators

Jiheon Kim, Kyudan Jung, Jaegul Choo

Automating slide editing requires simultaneously satisfying modification accuracy, preservation fidelity, and robustness to deck length. Existing LLM-based systems often fail on re…

cs.CL2026

LiveWeb-IE: A Benchmark For Online Web Information Extraction

Seungbin Yang, Jihwan Kim, Jaemin Choi +4

Web information extraction (WIE) is the task of automatically extracting data from web pages, offering high utility for various applications. The evaluation of WIE systems has trad…

cs.CL2026

ExpGuard: LLM Content Moderation in Specialized Domains

Minseok Choi, Dongjin Kim, Seungbin Yang +5

With the growing deployment of large language models (LLMs) in real-world applications, establishing robust safety guardrails to moderate their inputs and outputs has become essent…

cs.CL2026

BankMathBench: A Benchmark for Numerical Reasoning in Banking Scenarios

Yunseung Lee, Subin Kim, Youngjun Kwak +1

Large language models (LLMs)-based chatbots are increasingly being adopted in the financial domain, particularly in digital banking, to handle customer inquiries about products suc…

cs.CL2026

Not the Example, but the Process: How Self-Generated Examples Enhance LLM Reasoning

Daehoon Gwak, Minseo Jung, Junwoo Park +4

Recent studies have shown that Large Language Models (LLMs) can improve their reasoning performance through self-generated few-shot examples, achieving results comparable to manual…

cs.CL2025

Reward-Weighted Sampling: Enhancing Non-Autoregressive Characteristics in Masked Diffusion LLMs

Daehoon Gwak, Minseo Jung, Junwoo Park +4

Masked diffusion models (MDMs) offer a promising non-autoregressive alternative for large language modeling. Standard decoding methods for MDMs, such as confidence-based sampling,…