3 papers
cs.LG2026
CRIT: Graph-Based Automatic Data Synthesis to Enhance Cross-Modal Multi-Hop Reasoning
Junyoung Sung, Seungwoo Lyu, Minjun Kim +3
Real-world reasoning often requires combining information across modalities, connecting textual context with visual cues in a multi-hop process. Yet, most multimodal benchmarks fai…
cs.CL2025
ReTAG: Retrieval-Enhanced, Topic-Augmented Graph-Based Global Sensemaking
Boyoung Kim, Dosung Lee, Sumin An +2
Recent advances in question answering have led to substantial progress in tasks such as multi-hop reasoning. However, global sensemaking-answering questions by synthesizing informa…
cs.CL2025
LCIRC: A Recurrent Compression Approach for Efficient Long-form Context and Query Dependent Modeling in LLMs
Sumin An, Junyoung Sung, Wonpyo Park +2
While large language models (LLMs) excel in generating coherent and contextually rich outputs, their capacity to efficiently handle long-form contexts is limited by fixed-length po…