Papers

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Agentic Web Interfaces: Building Websites That Welcome AI Agents

The paper "Build the web for agents, not agents for the web" proposes a reorientation of how we design the modern web: rather than forcing AI systems to operate through human-centered pages, we should...

AWI MCP Playwright Safety web agents WebArena

Sep 10, 2025

0 4136

From H&E to 50-plex Proteins: Inside ROSIE for in silico mIF

When a doctor takes a biopsy, that tissue sample is typically stained with a simple, inexpensive method that has been used for over a century called H&E. This gives a basic, "black-and-white" view of ...

ConvNeXt digital pathology H&E in silico staining multiplex immunofluorescence

Sep 9, 2025

0 1265

UI-TARS-2: Scaling GUI-Centered Agents With Multi-Turn RL

Modern AI agents are learning to use computers like humans do. They can navigate websites, manage files, and even play games by controlling desktop and mobile interfaces directly. This paper introduce...

AI agents Benchmarking Data Flywheel GUI Parameter Interpolation Reinforcement Learning

Sep 9, 2025

0 4796

Universal Deep Research: A User-Programmable Deep Research Agent

Universal Deep Research (UDR) is a research prototype from NVIDIA Research that fundamentally rethinks how deep research agents work. Instead of hard-coding a fixed search-and-synthesis loop around on...

artificial intelligence machine learning natural language processing research agents

Sep 7, 2025

0 3256

LLMigrate Turns Lazy LLMs Into Reliable C-to-Rust Translators

Rewriting performance-critical C code in Rust promises stronger memory safety with similar speed, but moving large systems is hard. A new preprint introduces LLMigrate, a toolchain that combines large...

C-to-Rust Linux Kernel LLM Program Repair Rust

Sep 6, 2025

0 1199

MCP-Universe: Real-World Benchmarking For Agents That Use MCP

The Model Context Protocol (MCP) has quickly become a common interface for connecting large language models to external tools and data. By design, it looks like a USB-C port for AI applications: a sta...

benchmark LLM agents MCP Salesforce AI Research tool use

Sep 5, 2025

0 2981

Opening a New Mid-Infrared Window: The First 25 um Interstellar Methanol Detection

Methanol ( C H 3 O H ) is a cornerstone molecule in astrochemistry, both as an abundant constituent of interstellar ices and as a gateway to more complex organics relevant to prebiotic chemistry. A ne...

discovery james webb JWST MIRI space discovery space weather

Sep 5, 2025

0 748

AI-Powered Plant Materials Discovery: Large Language Models Extract Nature's Engineering Secrets

From Ancient Wisdom to Modern Innovation Plants have spent hundreds of millions of years perfecting sophisticated engineering solutions that humans are only beginning to understand. From the elegant m...

artificial intelligence bio-inspired design biomimetics large language models materials discovery plant materials retrieval augmented generation sustainability

Aug 31, 2025

0 4312

Agentic Neural Networks: Self-Evolving Multi-Agent Systems Through Textual Backpropagation

The landscape of artificial intelligence is rapidly evolving as researchers explore new ways to harness the collaborative power of multiple Large Language Models (LLMs). A groundbreaking paper from Lu...

artificial intelligence LLMs multi-agent systems neural networks optimization textual backpropagation

Aug 29, 2025

0 2134

Knowledge vs Reasoning in Clinical NLI

Do larger language models naturally learn to reason, or do they mostly get better at recalling facts and mimicking patterns? A new study introduces a Clinical Trial Natural Language Inference benchmar...

Benchmark Causal Attribution Chain of Thought Clinical NLI Compositional Grounding Epistemic Verification GKMRV Knowledge Large Language Models Medical AI Model Evaluation Neuro-symbolic AI Reasoning Risk State Abstraction

Aug 29, 2025

0 1056

m-KAILIN Turns Biomedical Literature into AI-ready QA Data

Training capable biomedical language models hinges on having the right data: not just more tokens, but high-fidelity question-answer examples grounded in the structure of biomedical knowledge. The pap...

Biomedical QA Corpus distillation LLM training MeSH ontology Multi-agent systems Ontology-guided evaluation Preference optimization PubMedQA Retrieval-augmented generation Scientific literature

Aug 29, 2025

0 935

Pruning LLMs With Regional Gradients: Inside Wanda++

Large language models are hard to deploy because memory and latency balloon with scale. In Findings of the Association for Computational Linguistics: ACL 2025, Yifan Yang and colleagues from the Unive...

AWQ Quantization Fine Tuning Large Language Models LLaMA Model Compression Model Pruning OpenLLaMA Regional Gradients Semi-Structured Sparsity Sparsity TensorRT Wanda++

Aug 29, 2025

0 1276

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