Papers

Filtered to general-purpose language models · clear filter

Browse by term

continual learning 33reinforcement learning 21large language models 9vision-language models 8language models 6benchmarking 5autoregressive models 4diffusion transformers 4generative models 4multimodal learning 4robotics 4video generation 4benchmarks 3computer vision 3policy optimization 3self-distillation 3vision-language-action models 3world modeling 3agent-based systems 2autonomous agents 2calibration 2coding agents 2diffusion models 2foundation models 2image synthesis 2in-context learning 2knowledge graphs 2LLMs 2multimodal evaluation 2multimodal large language models 2

Matching papers

Do Language Models Dream of Binding Molecules? Benchmarking LLMs under Spatial Constraints

12 upvotes · 20 JUL 2026 · Thomas MacDougall, Maksim Kuznetsov, Roman Schutski et al.

This paper evaluates whether language models can be used to generate molecules that fit specific 3D constraints, such as protein pockets and spatial relationships between molecules. Practitioners in the field of drug design might care about this research because it could lead to more efficient and effective methods for generating candidate molecules.

drug designstructure-based drug designspatial constraints3D molecule generationgeneral-purpose language models