Papers

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SciAgent: Gold Medal Performance Through Hierarchical Multi-Agent Scientific Reasoning

Researchers from Zhongguancun Academy, Peking University, Tencent AI Lab, and collaborating institutions have developed SciAgent, a hierarchical multi-agent system that achieves gold medal performance...

artificial intelligence hierarchical architecture mathematics multi-agent systems olympiad competitions physics ReAct framework scientific reasoning

Nov 16, 2025

0 2541

Wayfinding AI: Transforming Health Conversations Through Context-Seeking

Online health information seeking has become ubiquitous, with 58.5% of US adults using the internet for health and medical questions . However, this widespread access comes with significant chall...

AI Context-Seeking Conversational AI Google Research Health LLM Medical AI User Experience

Nov 16, 2025

0 726

How Do AI Agents Do Human Work? A Comprehensive Comparison of Human and Agent Workflows

AI agents are increasingly being developed to automate tasks traditionally performed by human workers, from software engineering to professional writing. As generative AI systems like OpenHands (Wang ...

AI Agents AI Evaluation Computer-Use Agents Future of Work Human-AI Collaboration Labor Economics OpenHands Task Automation TheAgentCompany Workflow Analysis

Nov 10, 2025

0 5412

Rapid and Automated Alloy Design with Graph Neural Network-Powered Large Language Model-Driven Multi-Agent AI

The search for new materials with enhanced mechanical properties has previously been constrained by the sheer complexity of the compositional design space. Multi-principal element alloys offer excepti...

alloy design artificial intelligence computational materials dislocation dynamics graph neural networks machine learning materials science multi-agent systems

Nov 10, 2025

0 1375

AlphaEvolve: AI-Powered Mathematical Discovery at Scale

Google DeepMind's AlphaEvolve is moving the bar yet again in how artificial intelligence tackles mathematical discovery. Published (preprint) in November 2025 by researchers Bogdan Georgiev, e t al at...

AI AlphaProof automated reasoning combinatorics DeepMind evolutionary computation FunSearch large language models machine learning mathematical discovery mathematics optimization Terence Tao

Nov 7, 2025

0 14311

AI-Assisted Discovery of Small-Molecule TREM2 Agonists That Activate Microglia

A new bioRxiv preprint from Weill Cornell Medicine and collaborators reports a structure-guided, AI-assisted campaign to discover and optimize small-molecule agonists of Triggering Receptor Expressed ...

ADME/PK Alzheimer's disease Deep Docking Drug discovery Microglia TREM2

Nov 4, 2025

0 2167

Astrocytes as Memory Powerhouses: Rethinking How the Brain Stores Information

For decades, neuroscientists have believed that memories reside primarily in the connections between neurons specifically in the synaptic weights that determine how strongly one neuron influences anot...

artificial intelligence astrocytes brain research computational neuroscience dense associative memory glial cells memory neuroscience synaptic plasticity transformers

Nov 4, 2025

0 1144

Deep Learning Resurrects Ancient Antibiotics: Mining Extinct Proteomes for Modern Medicine

In a groundbreaking fusion of paleobiology and artificial intelligence, researchers from the University of Pennsylvania have pioneered a revolutionary approach to combat the escalating global antibiot...

antibiotic discovery antimicrobial resistance artificial intelligence computational biology deep learning drug discovery extinct organisms machine learning molecular de-extinction paleogenomics

Nov 4, 2025

0 1089

CLIO: A Cognitive Loop for Self-Adaptive Reasoning in Science

Artificial intelligence is increasingly a collaborator in scientific inquiry, but most systems still separate the way models learn to reason from the way end users steer them. The paper "Cognitive Loo...

AI Agents Biology DRIFT Search Graph RAG HLE Medicine Reasoning

Nov 3, 2025

0 1243

How Deeply Do LLMs Internalize Scientific Literature And Citations?

A new study asks a deceptively simple question: when you ask a large language model to suggest references for a paper, does it think like a scientist? The Harvard and CLPS authors probe this by prompt...

Citations LLM Matthew Effect Science of Science

Nov 3, 2025

0 1859

SLED: Self Logits Evolution Decoding Boosts Factuality Without Retraining

Large language models deliver impressive results across many tasks, yet they still produce incorrect or ungrounded statements, often called hallucinations. A growing body of work explores how to reduc...

Decoding Factuality Inference-Time LLM SLED

Nov 3, 2025

0 1639

GraphBAN Marries Graphs and LLMs to Predict New Compound-Protein Interactions

Understanding how small molecules interact with proteins is a cornerstone of modern drug discovery. These compound–protein interactions (CPIs) determine whether a candidate molecule can modulate a bio...

BAN CDAN compound-protein interactions domain adaptation drug discovery graph neural networks knowledge distillation

Nov 2, 2025

0 1386

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