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Collections including paper arxiv:2505.01441

about 21 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 • 44
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 23

Putting the Value Back in RL: Better Test-Time Scaling by Unifying LLM Reasoners With Verifiers

Paper • 2505.04842 • Published May 7 • 12
ZeroSearch: Incentivize the Search Capability of LLMs without Searching

Paper • 2505.04588 • Published May 7 • 66
WebThinker: Empowering Large Reasoning Models with Deep Research Capability

Paper • 2504.21776 • Published Apr 30 • 59
Agentic Reasoning and Tool Integration for LLMs via Reinforcement Learning

Paper • 2505.01441 • Published Apr 28 • 39

Agentic Reasoning and Tool Integration for LLMs via Reinforcement Learning

Paper • 2505.01441 • Published Apr 28 • 39
NEMOTRON-CROSSTHINK: Scaling Self-Learning beyond Math Reasoning

Paper • 2504.13941 • Published Apr 15 • 11
Be Careful When Fine-tuning On Open-Source LLMs: Your Fine-tuning Data Could Be Secretly Stolen!

Paper • 2505.15656 • Published May 21 • 14

about 2 hours ago

microsoft/bitnet-b1.58-2B-4T

Text Generation • 0.8B • Updated May 1 • 5.73k • 1.15k
M1: Towards Scalable Test-Time Compute with Mamba Reasoning Models

Paper • 2504.10449 • Published Apr 14 • 14
nvidia/Llama-3.1-Nemotron-8B-UltraLong-2M-Instruct

Text Generation • 8B • Updated Apr 17 • 882 • 15
ReTool: Reinforcement Learning for Strategic Tool Use in LLMs

Paper • 2504.11536 • Published Apr 15 • 61

JudgeLRM: Large Reasoning Models as a Judge

Paper • 2504.00050 • Published Mar 31 • 62
RM-R1: Reward Modeling as Reasoning

Paper • 2505.02387 • Published May 5 • 78
Agentic Reasoning and Tool Integration for LLMs via Reinforcement Learning

Paper • 2505.01441 • Published Apr 28 • 39
Unified Multimodal Chain-of-Thought Reward Model through Reinforcement Fine-Tuning

Paper • 2505.03318 • Published May 6 • 94

Agentic Reasoning and Tool Integration for LLMs via Reinforcement Learning

Paper • 2505.01441 • Published Apr 28 • 39

Agentic Reasoning and Tool Integration for LLMs via Reinforcement Learning

Paper • 2505.01441 • Published Apr 28 • 39
LLMs are Greedy Agents: Effects of RL Fine-tuning on Decision-Making Abilities

Paper • 2504.16078 • Published Apr 22 • 20
Emergent Agentic Transformer from Chain of Hindsight Experience

Paper • 2305.16554 • Published May 26, 2023
DiaTool-DPO: Multi-Turn Direct Preference Optimization for Tool-Augmented Large Language Models

Paper • 2504.02882 • Published Apr 2 • 7

Embedding Model

nvidia/NV-Embed-v2

Feature Extraction • 8B • Updated 24 days ago • 25.9k • 457
BAAI/bge-small-en-v1.5

Feature Extraction • 0.0B • Updated Feb 22, 2024 • 3.69M • • 354
Agentic Reasoning and Tool Integration for LLMs via Reinforcement Learning

Paper • 2505.01441 • Published Apr 28 • 39

CoRAG: Collaborative Retrieval-Augmented Generation

Paper • 2504.01883 • Published Apr 2 • 10
VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning

Paper • 2504.08837 • Published Apr 10 • 43
Mavors: Multi-granularity Video Representation for Multimodal Large Language Model

Paper • 2504.10068 • Published Apr 14 • 30
xVerify: Efficient Answer Verifier for Reasoning Model Evaluations

Paper • 2504.10481 • Published Apr 14 • 84

To Read collection

interesting papers to read

Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model

Paper • 2503.24290 • Published Mar 31 • 63
I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders

Paper • 2503.18878 • Published Mar 24 • 121
START: Self-taught Reasoner with Tools

Paper • 2503.04625 • Published Mar 6 • 114
DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Paper • 2503.14476 • Published Mar 18 • 137

about 21 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 • 44
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 23

Agentic Reasoning and Tool Integration for LLMs via Reinforcement Learning

Paper • 2505.01441 • Published Apr 28 • 39

Putting the Value Back in RL: Better Test-Time Scaling by Unifying LLM Reasoners With Verifiers

Paper • 2505.04842 • Published May 7 • 12
ZeroSearch: Incentivize the Search Capability of LLMs without Searching

Paper • 2505.04588 • Published May 7 • 66
WebThinker: Empowering Large Reasoning Models with Deep Research Capability

Paper • 2504.21776 • Published Apr 30 • 59
Agentic Reasoning and Tool Integration for LLMs via Reinforcement Learning

Paper • 2505.01441 • Published Apr 28 • 39

Agentic Reasoning and Tool Integration for LLMs via Reinforcement Learning

Paper • 2505.01441 • Published Apr 28 • 39
LLMs are Greedy Agents: Effects of RL Fine-tuning on Decision-Making Abilities

Paper • 2504.16078 • Published Apr 22 • 20
Emergent Agentic Transformer from Chain of Hindsight Experience

Paper • 2305.16554 • Published May 26, 2023
DiaTool-DPO: Multi-Turn Direct Preference Optimization for Tool-Augmented Large Language Models

Paper • 2504.02882 • Published Apr 2 • 7

Agentic Reasoning and Tool Integration for LLMs via Reinforcement Learning

Paper • 2505.01441 • Published Apr 28 • 39
NEMOTRON-CROSSTHINK: Scaling Self-Learning beyond Math Reasoning

Paper • 2504.13941 • Published Apr 15 • 11
Be Careful When Fine-tuning On Open-Source LLMs: Your Fine-tuning Data Could Be Secretly Stolen!

Paper • 2505.15656 • Published May 21 • 14

Embedding Model

nvidia/NV-Embed-v2

Feature Extraction • 8B • Updated 24 days ago • 25.9k • 457
BAAI/bge-small-en-v1.5

Feature Extraction • 0.0B • Updated Feb 22, 2024 • 3.69M • • 354
Agentic Reasoning and Tool Integration for LLMs via Reinforcement Learning

Paper • 2505.01441 • Published Apr 28 • 39

about 2 hours ago

microsoft/bitnet-b1.58-2B-4T

Text Generation • 0.8B • Updated May 1 • 5.73k • 1.15k
M1: Towards Scalable Test-Time Compute with Mamba Reasoning Models

Paper • 2504.10449 • Published Apr 14 • 14
nvidia/Llama-3.1-Nemotron-8B-UltraLong-2M-Instruct

Text Generation • 8B • Updated Apr 17 • 882 • 15
ReTool: Reinforcement Learning for Strategic Tool Use in LLMs

Paper • 2504.11536 • Published Apr 15 • 61

CoRAG: Collaborative Retrieval-Augmented Generation

Paper • 2504.01883 • Published Apr 2 • 10
VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning

Paper • 2504.08837 • Published Apr 10 • 43
Mavors: Multi-granularity Video Representation for Multimodal Large Language Model

Paper • 2504.10068 • Published Apr 14 • 30
xVerify: Efficient Answer Verifier for Reasoning Model Evaluations

Paper • 2504.10481 • Published Apr 14 • 84

JudgeLRM: Large Reasoning Models as a Judge

Paper • 2504.00050 • Published Mar 31 • 62
RM-R1: Reward Modeling as Reasoning

Paper • 2505.02387 • Published May 5 • 78
Agentic Reasoning and Tool Integration for LLMs via Reinforcement Learning

Paper • 2505.01441 • Published Apr 28 • 39
Unified Multimodal Chain-of-Thought Reward Model through Reinforcement Fine-Tuning

Paper • 2505.03318 • Published May 6 • 94

To Read collection

interesting papers to read

Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model

Paper • 2503.24290 • Published Mar 31 • 63
I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders

Paper • 2503.18878 • Published Mar 24 • 121
START: Self-taught Reasoner with Tools

Paper • 2503.04625 • Published Mar 6 • 114
DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Paper • 2503.14476 • Published Mar 18 • 137

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