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EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 28 -
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models
Paper • 2402.03749 • Published • 14 -
ScreenAI: A Vision-Language Model for UI and Infographics Understanding
Paper • 2402.04615 • Published • 44 -
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss
Paper • 2402.05008 • Published • 23
Collections
Discover the best community collections!
Collections including paper arXiv:2503.13657
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RuCCoD: Towards Automated ICD Coding in Russian
Paper • 2502.21263 • Published • 132 -
Unified Reward Model for Multimodal Understanding and Generation
Paper • 2503.05236 • Published • 123 -
Sketch-of-Thought: Efficient LLM Reasoning with Adaptive Cognitive-Inspired Sketching
Paper • 2503.05179 • Published • 46 -
R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning
Paper • 2503.05592 • Published • 27
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Phi-4 Technical Report
Paper • 2412.08905 • Published • 121 -
Evaluating and Aligning CodeLLMs on Human Preference
Paper • 2412.05210 • Published • 50 -
Evaluating Language Models as Synthetic Data Generators
Paper • 2412.03679 • Published • 48 -
Yi-Lightning Technical Report
Paper • 2412.01253 • Published • 28
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Large Language Models Orchestrating Structured Reasoning Achieve Kaggle Grandmaster Level
Paper • 2411.03562 • Published • 68 -
Training Language Models for Social Deduction with Multi-Agent Reinforcement Learning
Paper • 2502.06060 • Published • 38 -
MLGym: A New Framework and Benchmark for Advancing AI Research Agents
Paper • 2502.14499 • Published • 192 -
SurveyX: Academic Survey Automation via Large Language Models
Paper • 2502.14776 • Published • 100
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An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems
Paper • 2505.18397 • Published • 1 -
MASLab: A Unified and Comprehensive Codebase for LLM-based Multi-Agent Systems
Paper • 2505.16988 • Published -
Why Do Multi-Agent LLM Systems Fail?
Paper • 2503.13657 • Published • 47 -
A Survey on LLM-based Multi-Agent System: Recent Advances and New Frontiers in Application
Paper • 2412.17481 • Published
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MLGym: A New Framework and Benchmark for Advancing AI Research Agents
Paper • 2502.14499 • Published • 192 -
SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines
Paper • 2502.14739 • Published • 104 -
How Much Knowledge Can You Pack into a LoRA Adapter without Harming LLM?
Paper • 2502.14502 • Published • 91 -
PC-Agent: A Hierarchical Multi-Agent Collaboration Framework for Complex Task Automation on PC
Paper • 2502.14282 • Published • 29
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Agents Thinking Fast and Slow: A Talker-Reasoner Architecture
Paper • 2410.08328 • Published -
SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks
Paper • 2305.17390 • Published • 3 -
SRMT: Shared Memory for Multi-agent Lifelong Pathfinding
Paper • 2501.13200 • Published • 69 -
Talk Structurally, Act Hierarchically: A Collaborative Framework for LLM Multi-Agent Systems
Paper • 2502.11098 • Published • 13
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Agentless: Demystifying LLM-based Software Engineering Agents
Paper • 2407.01489 • Published • 64 -
Summary of a Haystack: A Challenge to Long-Context LLMs and RAG Systems
Paper • 2407.01370 • Published • 89 -
OneKE: A Dockerized Schema-Guided LLM Agent-based Knowledge Extraction System
Paper • 2412.20005 • Published • 17 -
Understanding Alignment in Multimodal LLMs: A Comprehensive Study
Paper • 2407.02477 • Published • 24
-
EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 28 -
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models
Paper • 2402.03749 • Published • 14 -
ScreenAI: A Vision-Language Model for UI and Infographics Understanding
Paper • 2402.04615 • Published • 44 -
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss
Paper • 2402.05008 • Published • 23
-
An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems
Paper • 2505.18397 • Published • 1 -
MASLab: A Unified and Comprehensive Codebase for LLM-based Multi-Agent Systems
Paper • 2505.16988 • Published -
Why Do Multi-Agent LLM Systems Fail?
Paper • 2503.13657 • Published • 47 -
A Survey on LLM-based Multi-Agent System: Recent Advances and New Frontiers in Application
Paper • 2412.17481 • Published
-
RuCCoD: Towards Automated ICD Coding in Russian
Paper • 2502.21263 • Published • 132 -
Unified Reward Model for Multimodal Understanding and Generation
Paper • 2503.05236 • Published • 123 -
Sketch-of-Thought: Efficient LLM Reasoning with Adaptive Cognitive-Inspired Sketching
Paper • 2503.05179 • Published • 46 -
R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning
Paper • 2503.05592 • Published • 27
-
MLGym: A New Framework and Benchmark for Advancing AI Research Agents
Paper • 2502.14499 • Published • 192 -
SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines
Paper • 2502.14739 • Published • 104 -
How Much Knowledge Can You Pack into a LoRA Adapter without Harming LLM?
Paper • 2502.14502 • Published • 91 -
PC-Agent: A Hierarchical Multi-Agent Collaboration Framework for Complex Task Automation on PC
Paper • 2502.14282 • Published • 29
-
Phi-4 Technical Report
Paper • 2412.08905 • Published • 121 -
Evaluating and Aligning CodeLLMs on Human Preference
Paper • 2412.05210 • Published • 50 -
Evaluating Language Models as Synthetic Data Generators
Paper • 2412.03679 • Published • 48 -
Yi-Lightning Technical Report
Paper • 2412.01253 • Published • 28
-
Agents Thinking Fast and Slow: A Talker-Reasoner Architecture
Paper • 2410.08328 • Published -
SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks
Paper • 2305.17390 • Published • 3 -
SRMT: Shared Memory for Multi-agent Lifelong Pathfinding
Paper • 2501.13200 • Published • 69 -
Talk Structurally, Act Hierarchically: A Collaborative Framework for LLM Multi-Agent Systems
Paper • 2502.11098 • Published • 13
-
Large Language Models Orchestrating Structured Reasoning Achieve Kaggle Grandmaster Level
Paper • 2411.03562 • Published • 68 -
Training Language Models for Social Deduction with Multi-Agent Reinforcement Learning
Paper • 2502.06060 • Published • 38 -
MLGym: A New Framework and Benchmark for Advancing AI Research Agents
Paper • 2502.14499 • Published • 192 -
SurveyX: Academic Survey Automation via Large Language Models
Paper • 2502.14776 • Published • 100
-
Agentless: Demystifying LLM-based Software Engineering Agents
Paper • 2407.01489 • Published • 64 -
Summary of a Haystack: A Challenge to Long-Context LLMs and RAG Systems
Paper • 2407.01370 • Published • 89 -
OneKE: A Dockerized Schema-Guided LLM Agent-based Knowledge Extraction System
Paper • 2412.20005 • Published • 17 -
Understanding Alignment in Multimodal LLMs: A Comprehensive Study
Paper • 2407.02477 • Published • 24