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Hugging Face Paper Unveils SpaceCast-Bench for Predictive Spatial Reasoning in VLMs
A new benchmark, SpaceCast-Bench, directly evaluates whether vision-language models can predict unseen outcomes of spatial transfo...
Hugging Face Paper Proposes 'Retrieval-Centric Deep Learning' With Growing Neural Networks
A new paper develops principled functional-gradient learning rules for kernelized attention layers, replacing fixed-size weight ma...
REMORY: Hugging Face Paper Adds Learned Residual Memory Tokens to Compress Agent Context
A new paper introduces REMORY, a neural memory network that appends a bounded sequence of soft memory tokens to a compacted summar...
Opera: A Verbal Critic That Follows Feedback Until Coding Agents Actually Fix the Problem
Hugging Face researchers propose Opera, a verbal critic framework for long-horizon coding agents that treats each correction as a...
OmniCapBench Turns Audio-Visual Captioning Into a Diagnostic Test for Multimodal AI
A new benchmark from Hugging Face researchers reframes audio-visual caption evaluation as structured prediction, using atomic veri...
SanSi Turns Looped Language Models Into Typed Decision Makers
A new Hugging Face paper introduces SanSi, a looped typed decision model that returns option probabilities without generating reas...
USDCraft Uses LLMs to Turn Real Objects Into Simulation-Ready Articulated 3D Assets
A new Hugging Face paper introduces USDCraft, a framework where a pretrained LLM writes and revises executable programs to build a...
SparseEngine: A Sparse-First Inference Engine for Long-Context LLM Agents
Hugging Face paper introduces SparseEngine, a sparse-first inference engine that supports 15 sparse methods and delivers over 10x...
Hugging Face Paper Proposes Evidence-Grounded Oversight for Long-Horizon AI Agents
A new paper introduces AgentMonBench and the Evidence-Grounded Behavior Graph (EBG), a training-free method that helps oversight m...
Hugging Face Paper: OneSearch-VL Unifies Image and Video Deep Research
A new research paper introduces OneSearch-VL, a unified multimodal agent built around a Visually Grounded Evidence Graph, reportin...
SparseDecoding Targets the Real Bottleneck in LLM Inference: The Decode Stage
A new Hugging Face paper introduces SparseDecoding, a decoding-aware pruning framework that calibrates pruning on self-generated t...
Hugging Face Paper Combines Preference and Rubric Rewards to Post-Train Text-to-Image Models
A new post-training recipe composes human-preference rewards with rubric-based rewards to improve frontier text-to-image models, b...