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From the 1 of 16 linked papers with an AI index.

most citedAgentic reinforcement learning empowers next-generation chemical language models for molecular design and synthesis

2 citations · 4 across the 12 of their papers we have counts for

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cs.CV2026

Offline Preference Optimization for Rectified Flow with Noise-Tracked Pairs

Yunhong Lu, Qichao Wang, Hengyuan Cao +2

Existing preference datasets for text-to-image models typically store only the final winner/loser images. This representation is insufficient for rectified flow (RF) models, whose…