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Blake Olson

2 accepted papers

2026

Curriculum Reinforcement Learning from Easy to Hard Tasks Improves LLM Reasoning

ICLR 2026poster

We aim to improve the reasoning capabilities of language models via reinforcement learning with verifiable rewards (RLVR). Recent RLVR post-trained models like DeepSeek-R1 have demonstrated reasoning abilities on mathematical and coding tasks. However, prior studies suggest that using RLVR alone to…

Cited by 0SourcecodeScholar
2025

Fragment and Geometry Aware Tokenization of Molecules for Structure-Based Drug Design Using Language Models

ICLR 2025poster

Structure-based drug design (SBDD) is crucial for developing specific and effective therapeutics against protein targets but remains challenging due to complex protein-ligand interactions and vast chemical space. Although language models (LMs) have excelled in natural language processing, their appl…