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Collections including paper arxiv:2508.16153

AgentFly: Fine-tuning LLM Agents without Fine-tuning LLMs

Paper • 2508.16153 • Published 15 days ago • 131

AgentFly: Fine-tuning LLM Agents without Fine-tuning LLMs

Paper • 2508.16153 • Published 15 days ago • 131

AgentFly: Fine-tuning LLM Agents without Fine-tuning LLMs

Paper • 2508.16153 • Published 15 days ago • 131

Agent Improvements

AgentFly: Fine-tuning LLM Agents without Fine-tuning LLMs

Paper • 2508.16153 • Published 15 days ago • 131
Chain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RL

Paper • 2508.13167 • Published about 1 month ago • 123

AgentFly: Fine-tuning LLM Agents without Fine-tuning LLMs

Paper • 2508.16153 • Published 15 days ago • 131

AgentFly: Fine-tuning LLM Agents without Fine-tuning LLMs

Paper • 2508.16153 • Published 15 days ago • 131
A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems

Paper • 2508.07407 • Published 27 days ago • 90

about 3 hours ago

AgentFly: Fine-tuning LLM Agents without Fine-tuning LLMs

Paper • 2508.16153 • Published 15 days ago • 131
LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models

Paper • 2403.13372 • Published Mar 20, 2024 • 135
LMEnt: A Suite for Analyzing Knowledge in Language Models from Pretraining Data to Representations

Paper • 2509.03405 • Published 3 days ago • 17
KL3M Tokenizers: A Family of Domain-Specific and Character-Level Tokenizers for Legal, Financial, and Preprocessing Applications

Paper • 2503.17247 • Published Mar 21 • 1

AgentFly: Fine-tuning LLM Agents without Fine-tuning LLMs

Paper • 2508.16153 • Published 15 days ago • 131

AgentFly: Fine-tuning LLM Agents without Fine-tuning LLMs

Paper • 2508.16153 • Published 15 days ago • 131

High Low Media's AI/ML bookshelf

Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification

Paper • 1502.01852 • Published Feb 6, 2015 • 1
Deep Residual Learning for Image Recognition

Paper • 1512.03385 • Published Dec 10, 2015 • 8
Focal Loss for Dense Object Detection

Paper • 1708.02002 • Published Aug 7, 2017
Scaling Proprioceptive-Visual Learning with Heterogeneous Pre-trained Transformers

Paper • 2409.20537 • Published Sep 30, 2024 • 14

AgentFly: Fine-tuning LLM Agents without Fine-tuning LLMs

Paper • 2508.16153 • Published 15 days ago • 131

AgentFly: Fine-tuning LLM Agents without Fine-tuning LLMs

Paper • 2508.16153 • Published 15 days ago • 131
A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems

Paper • 2508.07407 • Published 27 days ago • 90

AgentFly: Fine-tuning LLM Agents without Fine-tuning LLMs

Paper • 2508.16153 • Published 15 days ago • 131

about 3 hours ago

AgentFly: Fine-tuning LLM Agents without Fine-tuning LLMs

Paper • 2508.16153 • Published 15 days ago • 131
LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models

Paper • 2403.13372 • Published Mar 20, 2024 • 135
LMEnt: A Suite for Analyzing Knowledge in Language Models from Pretraining Data to Representations

Paper • 2509.03405 • Published 3 days ago • 17
KL3M Tokenizers: A Family of Domain-Specific and Character-Level Tokenizers for Legal, Financial, and Preprocessing Applications

Paper • 2503.17247 • Published Mar 21 • 1

AgentFly: Fine-tuning LLM Agents without Fine-tuning LLMs

Paper • 2508.16153 • Published 15 days ago • 131

AgentFly: Fine-tuning LLM Agents without Fine-tuning LLMs

Paper • 2508.16153 • Published 15 days ago • 131

Agent Improvements

AgentFly: Fine-tuning LLM Agents without Fine-tuning LLMs

Paper • 2508.16153 • Published 15 days ago • 131
Chain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RL

Paper • 2508.13167 • Published about 1 month ago • 123

AgentFly: Fine-tuning LLM Agents without Fine-tuning LLMs

Paper • 2508.16153 • Published 15 days ago • 131

AgentFly: Fine-tuning LLM Agents without Fine-tuning LLMs

Paper • 2508.16153 • Published 15 days ago • 131

High Low Media's AI/ML bookshelf

Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification

Paper • 1502.01852 • Published Feb 6, 2015 • 1
Deep Residual Learning for Image Recognition

Paper • 1512.03385 • Published Dec 10, 2015 • 8
Focal Loss for Dense Object Detection

Paper • 1708.02002 • Published Aug 7, 2017
Scaling Proprioceptive-Visual Learning with Heterogeneous Pre-trained Transformers

Paper • 2409.20537 • Published Sep 30, 2024 • 14

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