HuggingFace
Video Generation Models are General-Purpose Vision Learners
Driven by next-token prediction, NLP shifted from task-specific models into powerful generalist foundation models. Wh...
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HuggingFace
Self-Guided Test-Time Training for Long-Context LLMs
Long-context processing has become increasingly important for large language models (LLMs), but simply extending the ...
HuggingFace
Trust Region Policy Distillation
Big goals are hard to achieve all at once; breaking them into small steps is wiser. We present Trust Region Policy Di...
HuggingFace
Towards Mechanistically Understanding Why Memorized Knowledge Fails to Generalize in Large Language Model Finetuning
Fine-tuning LLMs to inject new knowledge faces a critical challenge: LLMs can quickly memorize new facts, yet fail to...
HuggingFace
PanoWorld: Real-World Panoramic Generation
In this work, we aim to address the challenge of long-range memory in panoramic world models by exploiting the rotati...
HuggingFace
From RGB Generation to Dense Field Readout: Pixel-Space Dense Prediction with Text-to-Image Models
Large-scale text-to-image models are attractive backbones for dense prediction because RGB generation pretraining lea...
HuggingFace
Phone Segmentation and Recognition through Phonological Activation Mapping
Phone segmentation and recognition are inherently related tasks, yet modern approaches typically model them separatel...
HuggingFace
Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading
AI agents have become capable of autonomously completing short, well-specified tasks. However, existing terminal benc...
HuggingFace
KronQ: LLM Quantization via Kronecker-Factored Hessian
Post-training quantization (PTQ) is a widely adopted technique for compressing large language models (LLMs) without r...
HuggingFace
VaseMuseum: Digital Intelligent Museum for Ancient Greek Pottery
Vision-language models (VLMs) have made interactive digital museums increasingly feasible by connecting 3D digitizati...
HuggingFace
Flow-ERD: Agent-type Aware Flow Matching with Entropy-Regularized Distillation for Diverse Traffic Simulation
Realistic and diverse traffic simulation is essential to autonomous driving development. Yet prevailing benchmarks pr...
HuggingFace
A Sparse and Truncated State Vector Simulator for Peaked Circuits
In a class of quantum circuits known as peaked circuits, the goal is to predict the most probable bit string at the o...