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AgentOhana: Design Unified Data and Training Pipeline for Effective Agent Learning
Paper • 2402.15506 • Published • 17 -
AutoWebGLM: Bootstrap And Reinforce A Large Language Model-based Web Navigating Agent
Paper • 2404.03648 • Published • 29 -
Similarity is Not All You Need: Endowing Retrieval Augmented Generation with Multi Layered Thoughts
Paper • 2405.19893 • Published • 32 -
Parrot: Efficient Serving of LLM-based Applications with Semantic Variable
Paper • 2405.19888 • Published • 7
Collections
Discover the best community collections!
Collections including paper arxiv:2505.04253
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microsoft/bitnet-b1.58-2B-4T
Text Generation • 0.8B • Updated • 5.42k • 1.15k -
M1: Towards Scalable Test-Time Compute with Mamba Reasoning Models
Paper • 2504.10449 • Published • 14 -
nvidia/Llama-3.1-Nemotron-8B-UltraLong-2M-Instruct
Text Generation • 8B • Updated • 967 • 15 -
ReTool: Reinforcement Learning for Strategic Tool Use in LLMs
Paper • 2504.11536 • Published • 61
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CoRAG: Collaborative Retrieval-Augmented Generation
Paper • 2504.01883 • Published • 10 -
VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning
Paper • 2504.08837 • Published • 43 -
Mavors: Multi-granularity Video Representation for Multimodal Large Language Model
Paper • 2504.10068 • Published • 30 -
xVerify: Efficient Answer Verifier for Reasoning Model Evaluations
Paper • 2504.10481 • Published • 84
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LinFusion: 1 GPU, 1 Minute, 16K Image
Paper • 2409.02097 • Published • 35 -
Phidias: A Generative Model for Creating 3D Content from Text, Image, and 3D Conditions with Reference-Augmented Diffusion
Paper • 2409.11406 • Published • 28 -
Diffusion Models Are Real-Time Game Engines
Paper • 2408.14837 • Published • 127 -
Segment Anything with Multiple Modalities
Paper • 2408.09085 • Published • 23
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Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity
Paper • 2403.14403 • Published • 7 -
SeaKR: Self-aware Knowledge Retrieval for Adaptive Retrieval Augmented Generation
Paper • 2406.19215 • Published • 32 -
Open-RAG: Enhanced Retrieval-Augmented Reasoning with Open-Source Large Language Models
Paper • 2410.01782 • Published • 11 -
LLM-Independent Adaptive RAG: Let the Question Speak for Itself
Paper • 2505.04253 • Published • 13
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CoRAG: Collaborative Retrieval-Augmented Generation
Paper • 2504.01883 • Published • 10 -
ReZero: Enhancing LLM search ability by trying one-more-time
Paper • 2504.11001 • Published • 15 -
Retrieval-Augmented Generation with Conflicting Evidence
Paper • 2504.13079 • Published • 7 -
NodeRAG: Structuring Graph-based RAG with Heterogeneous Nodes
Paper • 2504.11544 • Published • 43
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Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation
Paper • 2409.12941 • Published • 25 -
LLM Teacher-Student Framework for Text Classification With No Manually Annotated Data: A Case Study in IPTC News Topic Classification
Paper • 2411.19638 • Published • 6 -
OCR Hinders RAG: Evaluating the Cascading Impact of OCR on Retrieval-Augmented Generation
Paper • 2412.02592 • Published • 24 -
VisDoM: Multi-Document QA with Visually Rich Elements Using Multimodal Retrieval-Augmented Generation
Paper • 2412.10704 • Published • 16
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AgentOhana: Design Unified Data and Training Pipeline for Effective Agent Learning
Paper • 2402.15506 • Published • 17 -
AutoWebGLM: Bootstrap And Reinforce A Large Language Model-based Web Navigating Agent
Paper • 2404.03648 • Published • 29 -
Similarity is Not All You Need: Endowing Retrieval Augmented Generation with Multi Layered Thoughts
Paper • 2405.19893 • Published • 32 -
Parrot: Efficient Serving of LLM-based Applications with Semantic Variable
Paper • 2405.19888 • Published • 7
-
Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity
Paper • 2403.14403 • Published • 7 -
SeaKR: Self-aware Knowledge Retrieval for Adaptive Retrieval Augmented Generation
Paper • 2406.19215 • Published • 32 -
Open-RAG: Enhanced Retrieval-Augmented Reasoning with Open-Source Large Language Models
Paper • 2410.01782 • Published • 11 -
LLM-Independent Adaptive RAG: Let the Question Speak for Itself
Paper • 2505.04253 • Published • 13
-
microsoft/bitnet-b1.58-2B-4T
Text Generation • 0.8B • Updated • 5.42k • 1.15k -
M1: Towards Scalable Test-Time Compute with Mamba Reasoning Models
Paper • 2504.10449 • Published • 14 -
nvidia/Llama-3.1-Nemotron-8B-UltraLong-2M-Instruct
Text Generation • 8B • Updated • 967 • 15 -
ReTool: Reinforcement Learning for Strategic Tool Use in LLMs
Paper • 2504.11536 • Published • 61
-
CoRAG: Collaborative Retrieval-Augmented Generation
Paper • 2504.01883 • Published • 10 -
ReZero: Enhancing LLM search ability by trying one-more-time
Paper • 2504.11001 • Published • 15 -
Retrieval-Augmented Generation with Conflicting Evidence
Paper • 2504.13079 • Published • 7 -
NodeRAG: Structuring Graph-based RAG with Heterogeneous Nodes
Paper • 2504.11544 • Published • 43
-
CoRAG: Collaborative Retrieval-Augmented Generation
Paper • 2504.01883 • Published • 10 -
VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning
Paper • 2504.08837 • Published • 43 -
Mavors: Multi-granularity Video Representation for Multimodal Large Language Model
Paper • 2504.10068 • Published • 30 -
xVerify: Efficient Answer Verifier for Reasoning Model Evaluations
Paper • 2504.10481 • Published • 84
-
Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation
Paper • 2409.12941 • Published • 25 -
LLM Teacher-Student Framework for Text Classification With No Manually Annotated Data: A Case Study in IPTC News Topic Classification
Paper • 2411.19638 • Published • 6 -
OCR Hinders RAG: Evaluating the Cascading Impact of OCR on Retrieval-Augmented Generation
Paper • 2412.02592 • Published • 24 -
VisDoM: Multi-Document QA with Visually Rich Elements Using Multimodal Retrieval-Augmented Generation
Paper • 2412.10704 • Published • 16
-
LinFusion: 1 GPU, 1 Minute, 16K Image
Paper • 2409.02097 • Published • 35 -
Phidias: A Generative Model for Creating 3D Content from Text, Image, and 3D Conditions with Reference-Augmented Diffusion
Paper • 2409.11406 • Published • 28 -
Diffusion Models Are Real-Time Game Engines
Paper • 2408.14837 • Published • 127 -
Segment Anything with Multiple Modalities
Paper • 2408.09085 • Published • 23