HuggingFace
Scaling Domain Data Repetition in LLM Pretraining
As large language models scale, their training-token budgets must also increase to maintain an appropriate tokens-per...
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HuggingFace
Verifier-Induced Support Reshaping in On-Policy Optimization
We show that on-policy reinforcement learning with verifiable rewards (RLVR) can improve the current objective while ...
HuggingFace
Generation as Auxiliary Supervision: Enhancing Visual Understanding at Zero Inference Overhead via Decoupled Embedding Prediction
While Multimodal Large Language Models (MLLMs) have achieved remarkable progress, visual understanding and generation...
HuggingFace
CPI-Bench: A Comprehensive,Practical and Intelligent Benchmark for Real-World Image Editing
With the rapid advancement of image editing models and their widespread application across various domains, there is ...
HuggingFace
Multimodal Model Diffing for Feature Discovery and Control
Multimodal Large Language Models (MLLMs) exhibit strong visual understanding, yet the internal features that cause th...
HuggingFace
MobileMem: Learning from a Year of Mobile Experiences
The next generation of AI agents is increasingly moving beyond systems that answer isolated questions toward persiste...
HuggingFace
PRM-as-a-Judge 1.5: A Toolkit for Robot Process Assessment
Fine-grained robotic evaluation matters for understanding embodied models, going beyond binary success rates and rule...
HuggingFace
Latent On-Policy Self-Distillation
Enabling agents to learn from experience and internalize it into their policy has become a central problem in self-ev...
HuggingFace
Second Thought: Reasoning in Parallel as LLM Agents Act and Observe
LLM agents in the ReAct paradigm alternate between reasoning, acting, and observing, but deliberate reasoning is conf...
HuggingFace
Forecast Collapse in Time-Series Foundation Models
When forecasting hourly returns for 1,000 US equities, we observe an unexpected phenomenon: predictions become nearly...
HuggingFace
UniProbe: A Learnable Token-Level Hallucination Detector for Large VLMs using Multi-Structural Internal Representations
Large Vision-Language Models (LVLMs) achieve impressive visual reasoning and dialogue capabilities, yet frequently ha...
HuggingFace
LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure
Modern language models are trained on heterogeneous web-scale text corpora. Consequently, studying knowledge and skil...