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upvoted an article about 17 hours ago

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Article

Train AI models with Unsloth and Hugging Face Jobs for FREE

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1 day ago

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50

upvoted a paper about 23 hours ago

Mobile-Agent-v3.5: Multi-platform Fundamental GUI Agents

Paper • 2602.16855 • Published 6 days ago • 24

upvoted a paper 1 day ago

SLA2: Sparse-Linear Attention with Learnable Routing and QAT

Paper • 2602.12675 • Published 8 days ago • 49

upvoted 5 papers 3 days ago

GLM-5: from Vibe Coding to Agentic Engineering

Paper • 2602.15763 • Published 4 days ago • 67

Does Socialization Emerge in AI Agent Society? A Case Study of Moltbook

Paper • 2602.14299 • Published 5 days ago • 24

Experiential Reinforcement Learning

Paper • 2602.13949 • Published 6 days ago • 60

Zooming without Zooming: Region-to-Image Distillation for Fine-Grained Multimodal Perception

Paper • 2602.11858 • Published 9 days ago • 58

REDSearcher: A Scalable and Cost-Efficient Framework for Long-Horizon Search Agents

Paper • 2602.14234 • Published 6 days ago • 19

upvoted a paper 4 days ago

Kimi K2.5: Visual Agentic Intelligence

Paper • 2602.02276 • Published 19 days ago • 236

upvoted a paper 5 days ago

Think Longer to Explore Deeper: Learn to Explore In-Context via Length-Incentivized Reinforcement Learning

Paper • 2602.11748 • Published 9 days ago • 30

upvoted 2 papers 6 days ago

Composition-RL: Compose Your Verifiable Prompts for Reinforcement Learning of Large Language Models

Paper • 2602.12036 • Published 9 days ago • 92

The Devil Behind Moltbook: Anthropic Safety is Always Vanishing in Self-Evolving AI Societies

Paper • 2602.09877 • Published 11 days ago • 188

upvoted a collection 6 days ago

IQuest-Coder

Collection

15 items • Updated 5 days ago • 93

upvoted a paper 7 days ago

Gaia2: Benchmarking LLM Agents on Dynamic and Asynchronous Environments

Paper • 2602.11964 • Published 9 days ago • 12

upvoted an article 7 days ago

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Article

Forge: Scalable Agent RL Framework and Algorithm

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8 days ago

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126

upvoted a paper 9 days ago

Back to Basics: Revisiting REINFORCE Style Optimization for Learning from Human Feedback in LLMs

Paper • 2402.14740 • Published Feb 22, 2024 • 18

upvoted a collection 9 days ago

Ming-V2

Collection

Ming is the multi-modal series of any-to-any models developed by Ant Ling team. • 14 items • Updated 7 days ago • 34

upvoted a paper 9 days ago

iGRPO: Self-Feedback-Driven LLM Reasoning

Paper • 2602.09000 • Published 11 days ago • 15

upvoted 2 papers 10 days ago

OPUS: Towards Efficient and Principled Data Selection in Large Language Model Pre-training in Every Iteration

Paper • 2602.05400 • Published 16 days ago • 320

NanoQuant: Efficient Sub-1-Bit Quantization of Large Language Models

Paper • 2602.06694 • Published 15 days ago • 15