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Collections including paper arxiv:2508.16153

about 6 hours ago

EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Paper • 2402.04252 • Published Feb 6, 2024 • 29
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 13
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 45
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 24

about 8 hours ago

AgentOhana: Design Unified Data and Training Pipeline for Effective Agent Learning

Paper • 2402.15506 • Published Feb 23, 2024 • 17
AutoWebGLM: Bootstrap And Reinforce A Large Language Model-based Web Navigating Agent

Paper • 2404.03648 • Published Apr 4, 2024 • 29
Similarity is Not All You Need: Endowing Retrieval Augmented Generation with Multi Layered Thoughts

Paper • 2405.19893 • Published May 30, 2024 • 32
Parrot: Efficient Serving of LLM-based Applications with Semantic Variable

Paper • 2405.19888 • Published May 30, 2024 • 7

rStar2-Agent: Agentic Reasoning Technical Report

Paper • 2508.20722 • Published 5 days ago • 80
AgentFly: Fine-tuning LLM Agents without Fine-tuning LLMs

Paper • 2508.16153 • Published 11 days ago • 119
Beyond Pass@1: Self-Play with Variational Problem Synthesis Sustains RLVR

Paper • 2508.14029 • Published 14 days ago • 116
InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency

Paper • 2508.18265 • Published 8 days ago • 169

InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency

Paper • 2508.18265 • Published 8 days ago • 169
WebWatcher: Breaking New Frontier of Vision-Language Deep Research Agent

Paper • 2508.05748 • Published 26 days ago • 121
AgentFly: Fine-tuning LLM Agents without Fine-tuning LLMs

Paper • 2508.16153 • Published 11 days ago • 119
Chain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RL

Paper • 2508.13167 • Published 27 days ago • 121

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

Paper • 2508.16153 • Published 11 days ago • 119

rStar2-Agent: Agentic Reasoning Technical Report

Paper • 2508.20722 • Published 5 days ago • 80
AgentFly: Fine-tuning LLM Agents without Fine-tuning LLMs

Paper • 2508.16153 • Published 11 days ago • 119

LiveMCP-101: Stress Testing and Diagnosing MCP-enabled Agents on Challenging Queries

Paper • 2508.15760 • Published 12 days ago • 43
LiveMCPBench: Can Agents Navigate an Ocean of MCP Tools?

Paper • 2508.01780 • Published 30 days ago • 17
API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs

Paper • 2304.08244 • Published Apr 14, 2023 • 1
AgentFly: Fine-tuning LLM Agents without Fine-tuning LLMs

Paper • 2508.16153 • Published 11 days ago • 119

Training a Foundation Model for Materials on a Budget

Paper • 2508.16067 • Published 11 days ago • 2
PosterGen: Aesthetic-Aware Paper-to-Poster Generation via Multi-Agent LLMs

Paper • 2508.17188 • Published 9 days ago • 14
AgentFly: Fine-tuning LLM Agents without Fine-tuning LLMs

Paper • 2508.16153 • Published 11 days ago • 119
AgentScope 1.0: A Developer-Centric Framework for Building Agentic Applications

Paper • 2508.16279 • Published 11 days ago • 15

Peer-Reviewed Articles

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

Paper • 2508.16153 • Published 11 days ago • 119
LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models

Paper • 2403.13372 • Published Mar 20, 2024 • 131
MCP-Universe: Benchmarking Large Language Models with Real-World Model Context Protocol Servers

Paper • 2508.14704 • Published 13 days ago • 41
Speed Always Wins: A Survey on Efficient Architectures for Large Language Models

Paper • 2508.09834 • Published 20 days ago • 51

LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory

Paper • 2410.10813 • Published Oct 14, 2024 • 12
AgentFly: Fine-tuning LLM Agents without Fine-tuning LLMs

Paper • 2508.16153 • Published 11 days ago • 119

about 6 hours ago

EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Paper • 2402.04252 • Published Feb 6, 2024 • 29
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 13
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 45
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 24

rStar2-Agent: Agentic Reasoning Technical Report

Paper • 2508.20722 • Published 5 days ago • 80
AgentFly: Fine-tuning LLM Agents without Fine-tuning LLMs

Paper • 2508.16153 • Published 11 days ago • 119

about 8 hours ago

AgentOhana: Design Unified Data and Training Pipeline for Effective Agent Learning

Paper • 2402.15506 • Published Feb 23, 2024 • 17
AutoWebGLM: Bootstrap And Reinforce A Large Language Model-based Web Navigating Agent

Paper • 2404.03648 • Published Apr 4, 2024 • 29
Similarity is Not All You Need: Endowing Retrieval Augmented Generation with Multi Layered Thoughts

Paper • 2405.19893 • Published May 30, 2024 • 32
Parrot: Efficient Serving of LLM-based Applications with Semantic Variable

Paper • 2405.19888 • Published May 30, 2024 • 7

LiveMCP-101: Stress Testing and Diagnosing MCP-enabled Agents on Challenging Queries

Paper • 2508.15760 • Published 12 days ago • 43
LiveMCPBench: Can Agents Navigate an Ocean of MCP Tools?

Paper • 2508.01780 • Published 30 days ago • 17
API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs

Paper • 2304.08244 • Published Apr 14, 2023 • 1
AgentFly: Fine-tuning LLM Agents without Fine-tuning LLMs

Paper • 2508.16153 • Published 11 days ago • 119

rStar2-Agent: Agentic Reasoning Technical Report

Paper • 2508.20722 • Published 5 days ago • 80
AgentFly: Fine-tuning LLM Agents without Fine-tuning LLMs

Paper • 2508.16153 • Published 11 days ago • 119
Beyond Pass@1: Self-Play with Variational Problem Synthesis Sustains RLVR

Paper • 2508.14029 • Published 14 days ago • 116
InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency

Paper • 2508.18265 • Published 8 days ago • 169

Training a Foundation Model for Materials on a Budget

Paper • 2508.16067 • Published 11 days ago • 2
PosterGen: Aesthetic-Aware Paper-to-Poster Generation via Multi-Agent LLMs

Paper • 2508.17188 • Published 9 days ago • 14
AgentFly: Fine-tuning LLM Agents without Fine-tuning LLMs

Paper • 2508.16153 • Published 11 days ago • 119
AgentScope 1.0: A Developer-Centric Framework for Building Agentic Applications

Paper • 2508.16279 • Published 11 days ago • 15

InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency

Paper • 2508.18265 • Published 8 days ago • 169
WebWatcher: Breaking New Frontier of Vision-Language Deep Research Agent

Paper • 2508.05748 • Published 26 days ago • 121
AgentFly: Fine-tuning LLM Agents without Fine-tuning LLMs

Paper • 2508.16153 • Published 11 days ago • 119
Chain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RL

Paper • 2508.13167 • Published 27 days ago • 121

Peer-Reviewed Articles

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

Paper • 2508.16153 • Published 11 days ago • 119
LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models

Paper • 2403.13372 • Published Mar 20, 2024 • 131
MCP-Universe: Benchmarking Large Language Models with Real-World Model Context Protocol Servers

Paper • 2508.14704 • Published 13 days ago • 41
Speed Always Wins: A Survey on Efficient Architectures for Large Language Models

Paper • 2508.09834 • Published 20 days ago • 51

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

Paper • 2508.16153 • Published 11 days ago • 119

LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory

Paper • 2410.10813 • Published Oct 14, 2024 • 12
AgentFly: Fine-tuning LLM Agents without Fine-tuning LLMs

Paper • 2508.16153 • Published 11 days ago • 119

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