Research Papers
ASI-Bench: New Benchmark Tests AI's Scientific Autonomy, Reveals Heavy Dependence on Human Guidance
Researchers introduce ASI-Bench, the first benchmark to evaluate AI's innovative exploration and autonomous scientific execution a...
GRNEdit: Lightweight Two-Stage Framework for Efficient Video Editing
Researchers introduce GRNEdit, a lightweight two-stage framework that models video editing intent via binary semantic decisions, a...
Hugging Face Researchers Shave Matrix Multiplication Exponent to 2.371177
A new paper from Hugging Face improves the upper bound on the matrix multiplication exponent ω to 2.371177, using a reformulated o...
New Framework Maps Cognitive Risks in Agentic AI Systems
Researchers propose a three-level framework to analyze risks induced by expanding cognitive capabilities in LLM-based agentic syst...
MegaParts: Scaling Part-Aware 3D Generation to 300 Parts with Token-Efficient Autoregressive Modeling
Hugging Face researchers introduce MegaParts, a scalable autoregressive framework that uses token-efficient vector-quantized part...
HarmProfile: New Benchmark Reveals Frontier LLMs' Harmful Outputs Grow with Capability
A new benchmark dataset, HarmProfile, analyzes harmful outputs from 23 frontier LLMs, showing that both harmfulness and diversity...
Prior Labs Unveils Open-Source Suite to Advance Relational Learning
Prior Labs releases RelArena-α, TabPFN-Rel, and RPI, a trio of open-source tools designed to standardize benchmarking, provide a t...
New Benchmark Reveals AI Research Agents' Core Flaw: Lack of Metacognitive Self-Correction
A new study introduces AutoResearchEval, a benchmark of 100 real-world research tasks, and finds that autonomous agents fail prima...
Latent-to-Pixel Training Strategy Boosts Pixel-Space Diffusion Models
A new empirical study from Hugging Face researchers proposes a latent-to-pixel training strategy that accelerates convergence and...
Hugging Face Unveils MOSS-VL: Open Vision-Language Models for Real-Time Interaction
MOSS-VL, a new open vision-language model family, prioritizes real-time interaction by using gated cross-attention to perceive vis...
Hugging Face Unveils Large Discovery Model: A Recurrent AI Engine for Open-Ended Scientific Search
A new recurrent architecture from Hugging Face combines generative modeling with Bayesian non-parametric surrogates to guide uncer...
SA-MRPO: A Saturation-Aware Approach to Multi-Reward RL for Language Models
Researchers introduce Saturation Aware Advantage Reweighting (SA-MRPO), a method that standardizes each reward objective independe...