Collections
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Collections including paper arxiv:2508.01959
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lusxvr/nanoVLM-222M
Image-Text-to-Text • 0.2B • Updated • 701 • 94 -
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
Paper • 2503.09516 • Published • 35 -
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time
Paper • 2505.24863 • Published • 97 -
QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning
Paper • 2505.17667 • Published • 89
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Rank1: Test-Time Compute for Reranking in Information Retrieval
Paper • 2502.18418 • Published • 28 -
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
Paper • 2503.09516 • Published • 35 -
Fixing Data That Hurts Performance: Cascading LLMs to Relabel Hard Negatives for Robust Information Retrieval
Paper • 2505.16967 • Published • 23 -
SitEmb-v1.5: Improved Context-Aware Dense Retrieval for Semantic Association and Long Story Comprehension
Paper • 2508.01959 • Published • 56
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Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs
Paper • 2507.09477 • Published • 80 -
BYOKG-RAG: Multi-Strategy Graph Retrieval for Knowledge Graph Question Answering
Paper • 2507.04127 • Published • 6 -
Efficiency-Effectiveness Reranking FLOPs for LLM-based Rerankers
Paper • 2507.06223 • Published • 13 -
SitEmb-v1.5: Improved Context-Aware Dense Retrieval for Semantic Association and Long Story Comprehension
Paper • 2508.01959 • Published • 56
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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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Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs
Paper • 2507.09477 • Published • 80 -
BYOKG-RAG: Multi-Strategy Graph Retrieval for Knowledge Graph Question Answering
Paper • 2507.04127 • Published • 6 -
Efficiency-Effectiveness Reranking FLOPs for LLM-based Rerankers
Paper • 2507.06223 • Published • 13 -
SitEmb-v1.5: Improved Context-Aware Dense Retrieval for Semantic Association and Long Story Comprehension
Paper • 2508.01959 • Published • 56
-
lusxvr/nanoVLM-222M
Image-Text-to-Text • 0.2B • Updated • 701 • 94 -
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
Paper • 2503.09516 • Published • 35 -
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time
Paper • 2505.24863 • Published • 97 -
QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning
Paper • 2505.17667 • Published • 89
-
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
-
Rank1: Test-Time Compute for Reranking in Information Retrieval
Paper • 2502.18418 • Published • 28 -
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
Paper • 2503.09516 • Published • 35 -
Fixing Data That Hurts Performance: Cascading LLMs to Relabel Hard Negatives for Robust Information Retrieval
Paper • 2505.16967 • Published • 23 -
SitEmb-v1.5: Improved Context-Aware Dense Retrieval for Semantic Association and Long Story Comprehension
Paper • 2508.01959 • Published • 56