Strategy-first synthesis planning for complex natural products
The total synthesis of a complex molecule is among the most demanding intellectual and experimental feats in chemistr...
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The total synthesis of a complex molecule is among the most demanding intellectual and experimental feats in chemistr...
What will happen when AI agents interact in daily life, e.g. when one AI starts bossing another around? We find a cou...
Recent optimization studies on Retrieval-Augmented Generation (RAG) have exploited chunk-level KV cache reuse to avoi...
While post-training improves the capabilities of large language models (LLMs), it generally lowers their output diver...
Test-time training (TTT) views sequence modeling as an online learning problem in which fast weights are updated by a...
The widespread integration of AI coding assistants offers undeniable boosts to engineering velocity. Yet, recent stud...
Recent systems for optimizing prompts, programs, and ML workflows typically rely on explicit outer-loop controllers s...
Deploying autonomous multimodal agents in continuous, real-world environments requires them to ingest unbounded audio...
Multimodal representation learning is a cornerstone of modern AI. By encoding multimodal queries and targets into vec...
Aerial image-goal navigation requires an unmanned aerial vehicle (UAV) to reach a target location specified by a goal...
World-Action Models (WAMs) improve end-to-end autonomous driving by transferring video dynamics priors to action pred...
Privileged on-policy distillation provides dense supervision for multi-turn agents by allowing a synchronized teacher...