A new AI approach called Certification-Driven Reinforcement Learning (CDRL) has been developed to help solve complex scientific discovery problems. CD...
Researchers have developed VortexChat, an AI system that can autonomously design complex integrated photonics devices from natural language specificat...
Researchers propose a new method called DirEAG to improve confidence estimation in large language models for mathematical reasoning. Current methods s...
Researchers have been working on improving language models by allowing them to adapt and learn from their mistakes. However, this process can be flawe...
Researchers have developed a new AI model called ForeTime-VLA that can predict and manipulate moving objects on a conveyor belt. The model uses a comb...
Researchers have proposed a new type of Graph Neural Network (GNN) called CTQW-GNN. This model addresses two common weaknesses of traditional GNNs: po...
Researchers Yantao Li and colleagues have conducted a survey to determine if multimodal models are ready for diffusion-based parallel drafting. This m...
Researchers have developed a method to use language models to rank and shortlist protein binder candidates. The approach involves using precomputed pr...
Researchers have proposed a new method for analyzing the updates made to language models, specifically those used in medical specialization. The appro...
Researchers have proposed Conformalized Agentic Search (CAS), a framework for building reliable search agents. CAS addresses the reliability crisis in...
Researchers have developed an AI system that can author formal documents by reading a requester's forms and writing against them. They tested this sys...
Researchers have identified a problem with large language models (LLMs) called factual access failure. This occurs when LLMs can recognize the correct...