HuggingFace
GigaAM Multilingual: Foundation Model for Underrepresented Languages
Despite recent scaling successes, multilingual ASR performance remains highly uneven, with long-tail languages suffer...
🤖 AI 前沿资讯
每天自动聚合 AI 领域最新动态
HuggingFace
GigaChat Audio: Time-aware Large Audio Language Model
Temporal grounding in long recordings remains challenging for audio-conditioned LLMs. We present a time-aware audio L...
HuggingFace
The Geometry of Semantic Space: A Continuous Geometric Framework for the Transformer Architecture
We present a continuous geometric framework that models the discrete algebraic operations of the Transformer architec...
arXiv
When Model Merging Rivals Joint Multi-Task Reinforcement Learning: A Task-Vector Geometry Analysis
Model merging is promoted as a substitute for joint multi-task training, yet in the reinforcement-learning setting th...
arXiv
Spatial Normalization for Cross-Domain Retinal Layer Segmentation in Optical Coherence Tomography
Retinal layer segmentation in Optical Coherence Tomography (OCT) is a fundamental step for extracting quantitative bi...
arXiv
LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization
Agentic Artificial Intelligence (AI), enabled by Large Language Models, marks a shift from rule-based automation towa...
arXiv
JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models
The post-training of Vision-Language-Action (VLA) models is essential due to the diversity of simulators, robot embod...
arXiv
HCIG: A Hierarchical Cross-Modal Incongruity Graph Network for Multimodal Sarcasm and Cyberbullying Detection
Multimodal sarcasm and cyberbullying detection remain challenging because the intended meaning often emerges from inc...
arXiv
DADiff: Diffusion-Driven Cross-Domain Policy Adaptation for Reinforcement Learning
Transferring policies across domains poses a vital challenge in reinforcement learning, due to the dynamics mismatch ...
arXiv
Understanding Reasoning from Pretraining to Post-Training
Reinforcement learning (RL) has become central to improving large language models (LLMs) on complex reasoning tasks, ...
arXiv
Harmonizing AI Safety Thresholds
Frontier AI companies have published capability thresholds that differ substantially, making it difficult for third p...
arXiv
CRAFT: Clustering Rubrics to Diagnose Weak LLM Capabilities and Generate Targeted Fine-Tuning Data
Evaluations should do more than measure a models current performance. They should tell us what to fix for the next mo...