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cs.CL2026

Intent-Triggered Anchoring for Multi-Token Format Units in Parallel Decoding of Diffusion Language Models

Junhyeok Lee, Kyu Sung Choi

In parallel decoding, diffusion language models commit several tokens per forward pass, so co-committed tokens cannot see each other, breaking multi-token format units that parsers…

cs.CL2026

MMed-Bench-IR: A Heterogeneous Benchmark for Multilingual Medical Information Retrieval

Junhyeok Lee, Han Jang, Hyeonjin Goh +1

Retrieval-augmented generation (RAG) in clinical settings increasingly requires multilingual retrieval against predominantly English evidence corpora. Multilingual medical retrieva…

cs.CL2026

MedLayBench-V: A Large-Scale Benchmark for Expert-Lay Semantic Alignment in Medical Vision Language Models

Han Jang, Junhyeok Lee, Heeseong Eum +1

Medical Vision-Language Models (Med-VLMs) have achieved expert-level proficiency in interpreting diagnostic imaging. However, current models are predominantly trained on profession…

cs.CL2026

Limited Stereotype Control Through Routing Reweighting in MoE Language Models

Junhyeok Lee, Han Jang, Kyu Sung Choi

Demographic prompts are routed differently from neutral prompts in Mixture-of-Experts (MoE) language models, motivating tests of routing-level stereotype control. We introduce Fair…

cs.CL2026

SciZoom: A Large-scale Benchmark for Hierarchical Scientific Summarization across the LLM Era

Han Jang, Junhyeok Lee, Kyu Sung Choi

The explosive growth of AI research has created unprecedented information overload, increasing the demand for scientific summarization at multiple levels of granularity beyond trad…

cs.CL2026

MPIB: A Benchmark for Medical Prompt Injection Attacks and Clinical Safety in LLMs

Junhyeok Lee, Han Jang, Kyu Sung Choi

Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems are increasingly integrated into clinical workflows. However, prompt injection attacks can steer these…