HuggingFace
Learning to Think and Explore in 3D World
We study how vision-language models (VLMs) can learn to think and actively explore in 3D space. Instead of providing ...
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HuggingFace
Lexical Reference Frames: Interpreting LM Residual Streams in Native Semantics
The vocabulary of a language model is its native semantics: the embedding and the unembedding fix the meaning of a st...
HuggingFace
OPMD: On-Policy Mechanism Distillation Beyond Output Supervision
On-policy distillation (OPD) improves language-model by supervising a student on prefixes sampled from its own policy...
HuggingFace
Failure Recovery via Belief Updates and World Modeling for Long-Horizon Agents
Long-horizon agents often struggle to recover from failures whose causes lie several steps earlier, beyond what local...
HuggingFace
RAP: A Dataset for Paper-to-Poster Generation via Declarative Markup from Human-Crafted Exemplars
Making a conference poster is visual coding in miniature: an entire paper must be compressed onto a single page, whic...
HuggingFace
Embeddings Are Overpriced? A Frozen 16 MB Vocabulary for Small and Ternary Language Models
In a small language model the vocabulary is the single largest part. In Gemma 3 270M the embedding table holds 168M o...
HuggingFace
Consistent Distribution Matching for Data-Free Diffusion Distillation
Flow and diffusion models suffer from slow inference due to computationally expensive numerical integration. Distilla...
HuggingFace
Scene-Designer: Learning Design Intelligence for Agentic 3D Scene Generation
Generating complete, coherent, and usable 3D indoor scenes from natural language requires strong design intelligence:...
HuggingFace
LiveMACE: Process-Aware Evaluation of LLM Agent Capabilities in Evolving Markets
Evaluating agents by outcomes alone can obscure the capabilities that produce them. This problem is especially pronou...
HuggingFace
MTEdit: Packed Trajectories Beat Rollouts for Multi-Turn Image Editing
Multi-turn image editing aims to modify an image according to a sequence of instructions, making it better aligned wi...
HuggingFace
Xiaomi-Lens-0 Technical Report
Multimodal large language models (MLLMs) answer questions about whole images well, yet they still struggle with fine-...
HuggingFace
AI-Driven Disaster Response and Displacement Monitoring
ARTIFICIAL INTELLIGENCE (AI) has demonstrated its potential across a wide range of humanitarian tasks, offering scala...