HuggingFace
ReMoMask-2: Latent Retrieval-Augmented Masked Motion Generation
Text-to-motion (T2M) generation maps natural language to human joint movements, aiding gaming, VR, and robotics. Retr...
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HuggingFace
SAS: Simple Attention Sparsification via End-to-End Optimization of Context Ranking
Post-training attention sparsification reduces the quadratic cumulative attention cost of pretrained Transformers by ...
HuggingFace
SNAP3D: Physically Grounded 3D Parts for Assembly from a Single Image
Part-aware 3D asset generation enables applications such as editing, articulation, simulation, and fabrication, yet e...
HuggingFace
PLC-DPO: Posterior Label Correction in Noisy and Ambiguous Preference Optimization
Direct Preference Optimization (DPO) simplifies alignment through pairwise comparisons but assumes all observed prefe...
HuggingFace
COBRA-Skills: Contextual Bandit-Guided Evolution for Agent Skill Optimization
Large language model (LLM) agents can benefit from reusable skills distilled from prior task experience, yet existing...
HuggingFace
Breaking the Vision-Action Shortcut: Latent Interface Training for Generalizable Robotics Foundation Models
Robot foundation models achieve strong in-distribution performance but often degrade under visual distribution shifts...
HuggingFace
Benchmark Radar: A Living Database and Search Engine for AI Benchmarks and Evaluation
Benchmark researchers and developers of large language models (LLMs) and other AI systems need to find relevant evalu...
HuggingFace
Feyospace-v1: How the Cyber Mercury Seven Trained Frontier Cyber Models
Training capable cyber agents is often treated primarily as a problem of model scale, yet open-weight post-training i...
HuggingFace
StepAudio 3 Gen Technical Report
We introduce StepAudio 3 Gen, a general-purpose audio generation model that supports zero-shot text-to-speech (TTS), ...
HuggingFace
Online Learning with LLM Experts from Limited Feedback
We study adaptive routing of prompts to large language model (LLM) experts to maximize response quality in an online ...
HuggingFace
Beyond Top-k Skill Retrieval: Diversity-Aware Skill Routing for LLM Agents
Large language model (LLM) agents increasingly rely on external skills, but routing user requests over large skill re...
HuggingFace
Negative Self-Distillation: Learning to Reason by Avoiding Flaws
On-Policy Self-Distillation (OPSD) has emerged as a popular paradigm for large language model (LLM) self-improvement,...