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Relevance-Aware RipGrep Agent Boosts Accuracy-Efficiency Frontier in Agentic Search
Hugging Face researchers introduce RARG, a search agent that uses relevance to guide corpus interaction, improving accuracy and ef...
HiFi-UMI: Robot-Free Data Matches Teleoperation for Deployable Manipulation Policies
HiFi-UMI, a high-fidelity robot-free data collection system, enables deployable manipulation policies that match or exceed teleope...
OpenAI Report: AI Agents Transform Scientific Computing in Genomics
A new field report from OpenAI reveals how scientists are leveraging AI coding agents to accelerate software development and disco...
Manus Joins Meta to Accelerate AI Agent Development
Manus, a pioneer in general-purpose AI agents, is joining Meta to scale its technology to millions of businesses and billions of u...
PAJAMA: Distilling LLM Judges into Transparent, Low-Cost Programs
Researchers introduce program distillation to replace expensive LLM-as-a-judge evaluations with a committee of transparent, editab...
REDE: Denoising Reasoning Traces to Boost Hallucination Detection in Large Reasoning Models
Researchers propose REDE, a framework that denoises reasoning traces by removing irrelevant and repetitive steps, improving halluc...
Frozen 12B Model Achieves 100% Accuracy via Verified Memory, Not Raw Reasoning
A new approach from Hugging Face stores verified solutions in a persistent memory, enabling a frozen 12B model to answer 180/180 i...
Chamaileon: A Unified Framework for Multi-Target and Multi-State Protein Binder Design
Researchers introduce Chamaileon, a framework that unifies multi-target and multi-state protein binder design using in-context co-...
ClinFusion: Vision-Centric MLLM Sets New State-of-the-Art in Medical Understanding
Alibaba DAMO Academy introduces ClinFusion, a vision-centric multimodal LLM that unifies 2D and 3D medical image understanding, ou...
Hugging Face Researchers Use RAG to Restore Historical Documents
A new framework called ARI combines large language models with retrieval-augmented generation to restore illegible historical docu...
dRAE: Hyper-Spherical Quantization Solves Codebook Collapse in Visual Tokenization
Hugging Face researchers propose dRAE, a visual tokenizer using Hyper-Spherical Quantization (HSQ) to achieve 100% codebook utiliz...
Hugging Face Paper Unravels the Physics of Multi-Turn Long-Horizon Planning for AI Agents
A new research paper introduces a controlled environment to systematically study how foundation model agents acquire, shape, and i...