5 papers
Be Your Own Teacher: Steering Protein Language Models via Unsupervised Reward Optimization
Lanqing Li, Shentong Mo, Yang Yu +1
Protein language models (PLMs) have emerged as powerful tools for controllable biomolecular design, yet their post-training adaptation typically relies on costly wet-lab validation…
Boosting RL-Based Visual Reasoning with Selective Adversarial Entropy Intervention
Yang Yu, Zhuangzhuang Chen, Lanqing Li +1
Recently, reinforcement learning (RL) has become a common choice in enhancing the reasoning capabilities of vision-language models (VLMs). Considering existing RL-based finetuning…
SaDiT: Efficient Protein Backbone Design via Latent Structural Tokenization and Diffusion Transformers
Shentong Mo, Lanqing Li
Generative models for de novo protein backbone design have achieved remarkable success in creating novel protein structures. However, these diffusion-based approaches remain comput…
ChemMiner: A Large Language Model Agent System for Chemical Literature Data Mining
Kexin Chen, Yuyang Du, Junyou Li +7
The development of AI-assisted chemical synthesis tools requires comprehensive datasets covering diverse reaction types, yet current high-throughput experimental (HTE) approaches a…
Scrutinize What We Ignore: Reining In Task Representation Shift Of Context-Based Offline Meta Reinforcement Learning
Hai Zhang, Boyuan Zheng, Tianying Ji +4
Offline meta reinforcement learning (OMRL) has emerged as a promising approach for interaction avoidance and strong generalization performance by leveraging pre-collected data and…