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4B Agent on 10K Data, MoE Upcycling Saves 32% Compute
7 selected from 200 papers
Featured
Expert Upcycling: Shifting the Compute-Efficient Frontier of Mixture-of-Experts
score 9
入选 HF Daily Papers; HF 热度: 15 upvotes (+3); 有代码实现; 关键词(3): scaling, pre-training, MoE
DR-Venus: Towards Frontier Edge-Scale Deep Research Agents with Only 10K Open Data
score 10
入选 HF Daily Papers; HF 热度: 45 upvotes (+4); 有代码实现; 关键词(6): scaling, deployment, latency, edge, fine-tuning
SkillLearnBench: Benchmarking Continual Learning Methods for Agent Skill Generation on Real-World Tasks
score 9
入选 HF Daily Papers; HF 热度: 14 upvotes (+3); 有代码实现; 关键词(2): scaling, open-source
SWE-chat: Coding Agent Interactions From Real Users in the Wild
score 7
入选 HF Daily Papers; HF 热度: 10 upvotes (+3); 关键词(2): coding, open-source
Convergent Evolution: How Different Language Models Learn Similar Number Representations
score 5
入选 HF Daily Papers; HF 热度: 6 upvotes (+2)
Also Worth Noting
CreativeGame:Toward Mechanic-Aware Creative Game Generation
score 5
入选 HF Daily Papers; HF 热度: 2 upvotes (+1); 关键词(1): code generation
Surrogate modeling for interpreting black-box LLMs in medical predictions
score 3
机构: Harvard