HuggingFace
MotionVLA: Vision-Language-Action Model for Humanoid Motion
Generating realistic humanoid motion from scene images and text involves both low-frequency pose semantics and high-f...
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HuggingFace
ChLogic: Evaluating Robustness of Logical Reasoning in Chinese Expressions
Large language models perform increasingly well on standardized logical reasoning benchmarks, but whether this abilit...
HuggingFace
Rethinking the Role of Efficient Attention in Hybrid Architectures
Modern language models increasingly adopt hybrid architectures that combine full attention with efficient attention m...
HuggingFace
Learning from the Self-future: On-policy Self-distillation for dLLMs
On-policy self-distillation (OPSD) has proven effective for post-training large language models (LLMs), yet its appli...
HuggingFace
Text-Vision Co-Instructed Image Editing
Existing image editing methods can be generally categorized into textual instruction-based and visual prompt-based on...
arXiv
A Causal Model of Theory of Mind in Conflict for Artificial Intelligence
Theory of mind (ToM), the capacity to ascribe mental states to others and use those ascriptions for prediction and in...
arXiv
Phantoms and Disclosures: a Causal Framework for Auditing Synthetic Data
The rapid adoption of generative AI and Large Language Models (LLMs) has spurred interest in synthetic data as a priv...
arXiv
Probing Low Frame Rate Degradation in Neural Audio Codecs
Low frame rates in neural audio codecs are attractive for autoregressive speech synthesis, where the generation cost ...
arXiv
How Much Do Reviews Really Contribute? A Study on Text-Enriched Matrix Factorization for Recommendations
Incorporating textual reviews into a Recommender System has become a prominent strategy for enriching collaborative s...
arXiv
The embrace of open science: An analysis of a decade of AI research and 56 800 conference papers
The reproducibility crisis has directed the AI research community toward improving documentation practices. Several s...
arXiv
Consensus-based Agentic Large Language Model Framework for Harmonized Tariff Schedule Code Classification
Accurate Harmonized Tariff Schedule (HTS) code classification is essential for customs clearance, duty assessment, tr...
arXiv
Stable Menus of Public Goods: AI-Enabled Progress
Using an open problem from the EC 2025 paper "Stable Menus of Public Goods" as a testbed, we conduct experiments to u...