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20212026
most citedMultiDocFusion: Hierarchical and Multimodal Chunking Pipeline for Enhanced RAG on Long Industrial Documents

3 citations · 6 across the 19 of their papers we have counts for

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cs.CL2026

The Hallucination Signal Is a Mean Shift: Why Simple Probes Suffice

Jungseob Lee, Jaehyung Seo, Heuiseok Lim

Hidden-state probes effectively detect LLM hallucinations, but the geometry of the signal remains poorly characterized, driving increasingly complex probe architectures. Across thr…

cs.CL2026

CultureConverse: A Multilingual Multi-turn Simulation Harness for Culturally Grounded Assistance in East and Southeast Asia

Bryan Chen Zhengyu Tan, Weihua Zheng, Thong T. Doan +30

Current cultural evaluations for large language models (LLMs) often reduce culture to single-turn factual recall via MCQs, failing to capture a common use case: users seeking pract…

cs.CL2026

No Reader Left Behind: Multi-Agent Summaries Everyone Can Understand

Jimin Jung, MyoungJin Kim, Jaehyung Seo +1

The Plain Writing Act in the United States requires government documents to be accessible in clear and simple language that the general public can easily understand, yet existing s…

cs.CL2025

The Impact of Negated Text on Hallucination with Large Language Models

Jaehyung Seo, Hyeonseok Moon, Heuiseok Lim

Recent studies on hallucination in large language models (LLMs) have been actively progressing in natural language processing. However, the impact of negated text on hallucination…

cs.CL2025

Metric Calculating Benchmark: Code-Verifiable Complicate Instruction Following Benchmark for Large Language Models

Hyeonseok Moon, Seongtae Hong, Jaehyung Seo +1

Recent frontier-level LLMs have saturated many previously difficult benchmarks, leaving little room for further differentiation. This progress highlights the need for challenging b…

cs.CL2025

MMA-ASIA: A Multilingual and Multimodal Alignment Framework for Culturally-Grounded Evaluation

Weihua Zheng, Zhengyuan Liu, Tanmoy Chakraborty +32

Large language models (LLMs) are now used worldwide, yet their multimodal understanding and reasoning often degrade outside Western, high-resource settings. We propose MMA-ASIA, a…