HuggingFace
Beyond Benchmarks: Can Small Open-Weight Models Get Real Coding Work Done?
Making an open-weight language model generate text is not the same as making it finish coding work. This retrospectiv...
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HuggingFace
Assessing the CAD Capabilities of General-Purpose AI Models: A Case Study of GPT-6 Astra
Recent advances in general-purpose AI models and agentic systems have enabled them to perform some CAD tasks. A syste...
HuggingFace
Thinking-in-Bets at Test Time Reduces Sycophantic Revisions in LLM Agents
Language model agents often abandon correct work when a user challenges it, yet simply telling them to stand firm mak...
HuggingFace
RoboHarness: A Simple Harness Outperforms VLA and World Action Models
The rise of large language models (LLMs) has opened a path toward generalist embodied AI, raising the question of how...
HuggingFace
More Memory, Better Videos? A Controlled Study of Visual Memory in Long-Video Generation
Long-video generators increasingly retrieve past visual observations to prevent identity drift. The intuition is comp...
HuggingFace
Joint or Per-Option? Compact Encoders for Closed-Set Decisions from 17 Million to 1 Billion Parameters
Many language-model pipelines end in a closed-set decision, such as selecting a tool. Prompting a large language mode...
HuggingFace
AV-FABLE: Audio-Visual Manipulation Forensics in Long-Form Videos
Localized AI manipulations in long-form videos often affect brief events within otherwise authentic content, making v...
HuggingFace
Does LeWorldModel Preserve Local Action Geometry?
We examine how closely pretrained LeWorldModel (LeWM) reproduces the effects of small action changes. Using matched s...
HuggingFace
FocusVLA: Future-Intent Guided Dynamic View Routing for Vision-Language-Action Models
Vision-language-action (VLA) models have become an important paradigm for robotic manipulation by unifying visual per...
HuggingFace
What Git Does Not Record: Provenance Legibility in Two AI-Assisted Research Repositories
Publishers and funders increasingly ask authors to disclose how AI tools contributed to a piece of research. In compu...
HuggingFace
Speculative Diffusion is a Tale of Two Tradeoffs
Speculative decoding is a technique that accelerates the inference speed of autoregressive large language models (LLM...
HuggingFace
PaperFormalizer: Author-in-the-Loop Autoformalization of Research Papers in Lean
Even a carefully proofread paper can leave small gaps in its proofs or its stated assumptions. We introduce PaperForm...