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From the 1 of 6 linked papers with an AI index.

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6 papers

q-bio.QM2026

TheBioCollection: Unified Pre-Training Scale LLM Corpus for Biology

Hyunjin Seo, Hyeon Hwang, Gyubok Lee +7

The paper introduces TheBioCollection, a 52.6‑billion‑token unified corpus that aggregates diverse biological resources for pre‑training large language models, and shows that train…

cs.CV2026

Transferability Between Understanding and Generation in Unified Multimodal Models

Jiwon Kang, Heeji Yoon, Jaewoo Jung +5

Unified Multimodal Models (UMMs) integrate image understanding and generation within a single architecture, yet how the two tasks interact remains understudied. We investigate $\bo…

cs.AI2026

Advancing DialNav through Automatic Embodied Dialog Augmentation

Leekyeung Han, Sangwon Jung, Hyunji Min +3

For embodied agents capable of physical interaction, the capability to create and understand dialog is crucial to ensure both safety and effectiveness. While DialNav~\cite{han2025d…

q-bio.QM2026

VibeProteinBench: An Evaluation Benchmark for Language-interfaced Vibe Protein Design

Hyunjin Seo, Hongjoon Ahn, Jimin Park +16

Protein design aims to compose amino-acid sequences that fold into stable three-dimensional structures while satisfying targeted functional properties. The field is increasingly sh…

cs.AI2026

GOAT: A Training Framework for Goal-Oriented Agent with Tools

Hyunji Min, Sangwon Jung, Junyoung Sung +3

Current approaches rely on zero-shot evaluation due to the absence of training data; while proprietary models such as GPT-4 exhibit strong reasoning capabilities, smaller open-sour…

cs.CV2026

Breaking the Visual Shortcuts in Multimodal Knowledge-Based Visual Question Answering

Dosung Lee, Sangwon Jung, Boyoung Kim +4

Existing Multimodal Knowledge-Based Visual Question Answering (MKB-VQA) benchmarks suffer from "visual shortcuts", as the query image typically matches the primary subject entity o…