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From the 1 of 5 linked papers with an AI index.

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5 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…

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.LG2026

Action-Sufficient Goal Representations

Jinu Hyeon, Woobin Park, Hongjoon Ahn +1

In offline goal-conditioned reinforcement learning (GCRL), hierarchical approaches decompose long-horizon tasks into high-level subgoal prediction and low-level action execution. A…

cs.LG2025

Option-aware Temporally Abstracted Value for Offline Goal-Conditioned Reinforcement Learning

Hongjoon Ahn, Heewoong Choi, Jisu Han +1

Offline goal-conditioned reinforcement learning (GCRL) offers a practical learning paradigm in which goal-reaching policies are trained from abundant state-action trajectory datase…

cs.LG2025

Reset & Distill: A Recipe for Overcoming Negative Transfer in Continual Reinforcement Learning

Hongjoon Ahn, Jinu Hyeon, Youngmin Oh +2

We argue that the negative transfer problem occurring when the new task to learn arrives is an important problem that needs not be overlooked when developing effective Continual Re…