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Discover the best community collections!

Collections including paper arxiv:2504.10481

Towards General-Purpose Model-Free Reinforcement Learning

Paper • 2501.16142 • Published Jan 27 • 31
DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Paper • 2503.14476 • Published Mar 18 • 139
Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?

Paper • 2504.13837 • Published Apr 18 • 134
Learning to Reason under Off-Policy Guidance

Paper • 2504.14945 • Published Apr 21 • 87

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

ryzenai-finetuned-llms

This collection contains finetuned models that are targetted to run on Ryzen AI platforms

xVerify: Efficient Answer Verifier for Reasoning Model Evaluations

Paper • 2504.10481 • Published Apr 14 • 84
VisuLogic: A Benchmark for Evaluating Visual Reasoning in Multi-modal Large Language Models

Paper • 2504.15279 • Published Apr 21 • 75

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 • 139

IAAR-Shanghai/xVerify-8B-I

8B • Updated Apr 15 • 1.16k • 5
IAAR-Shanghai/xVerify-9B-C

9B • Updated Apr 15 • 471 • 5
IAAR-Shanghai/xVerify-0.5B-I

0.5B • Updated Apr 15 • 1.57k • 7
IAAR-Shanghai/xVerify-3B-Ia

3B • Updated Apr 15 • 21 • 4

AI Paper of the Day

A collection of papers that I think are interesting, one added each day

about 12 hours ago

Can Large Language Models Understand Context?

Paper • 2402.00858 • Published Feb 1, 2024 • 24
OLMo: Accelerating the Science of Language Models

Paper • 2402.00838 • Published Feb 1, 2024 • 84
Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18, 2024 • 152
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity

Paper • 2401.17072 • Published Jan 30, 2024 • 24

Large Legal Fictions: Profiling Legal Hallucinations in Large Language Models

Paper • 2401.01301 • Published Jan 2, 2024
Do Language Models Know When They're Hallucinating References?

Paper • 2305.18248 • Published May 29, 2023
xVerify: Efficient Answer Verifier for Reasoning Model Evaluations

Paper • 2504.10481 • Published Apr 14 • 84

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

🤔 Reasoning about Reasoning

papers and articles about reasoning LLMs

A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and Beyond

Paper • 2503.21614 • Published Mar 27 • 42
Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model

Paper • 2503.24290 • Published Mar 31 • 63
JudgeLRM: Large Reasoning Models as a Judge

Paper • 2504.00050 • Published Mar 31 • 62
Skywork R1V: Pioneering Multimodal Reasoning with Chain-of-Thought

Paper • 2504.05599 • Published Apr 8 • 86

Visual-RFT: Visual Reinforcement Fine-Tuning

Paper • 2503.01785 • Published Mar 3 • 83
When an LLM is apprehensive about its answers -- and when its uncertainty is justified

Paper • 2503.01688 • Published Mar 3 • 21
Predictive Data Selection: The Data That Predicts Is the Data That Teaches

Paper • 2503.00808 • Published Mar 2 • 57
Chain of Draft: Thinking Faster by Writing Less

Paper • 2502.18600 • Published Feb 25 • 50

Towards General-Purpose Model-Free Reinforcement Learning

Paper • 2501.16142 • Published Jan 27 • 31
DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Paper • 2503.14476 • Published Mar 18 • 139
Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?

Paper • 2504.13837 • Published Apr 18 • 134
Learning to Reason under Off-Policy Guidance

Paper • 2504.14945 • Published Apr 21 • 87

AI Paper of the Day

A collection of papers that I think are interesting, one added each day

about 12 hours ago

Can Large Language Models Understand Context?

Paper • 2402.00858 • Published Feb 1, 2024 • 24
OLMo: Accelerating the Science of Language Models

Paper • 2402.00838 • Published Feb 1, 2024 • 84
Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18, 2024 • 152
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity

Paper • 2401.17072 • Published Jan 30, 2024 • 24

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

Large Legal Fictions: Profiling Legal Hallucinations in Large Language Models

Paper • 2401.01301 • Published Jan 2, 2024
Do Language Models Know When They're Hallucinating References?

Paper • 2305.18248 • Published May 29, 2023
xVerify: Efficient Answer Verifier for Reasoning Model Evaluations

Paper • 2504.10481 • Published Apr 14 • 84

ryzenai-finetuned-llms

This collection contains finetuned models that are targetted to run on Ryzen AI platforms

xVerify: Efficient Answer Verifier for Reasoning Model Evaluations

Paper • 2504.10481 • Published Apr 14 • 84
VisuLogic: A Benchmark for Evaluating Visual Reasoning in Multi-modal Large Language Models

Paper • 2504.15279 • Published Apr 21 • 75

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 • 139

🤔 Reasoning about Reasoning

papers and articles about reasoning LLMs

A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and Beyond

Paper • 2503.21614 • Published Mar 27 • 42
Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model

Paper • 2503.24290 • Published Mar 31 • 63
JudgeLRM: Large Reasoning Models as a Judge

Paper • 2504.00050 • Published Mar 31 • 62
Skywork R1V: Pioneering Multimodal Reasoning with Chain-of-Thought

Paper • 2504.05599 • Published Apr 8 • 86

IAAR-Shanghai/xVerify-8B-I

8B • Updated Apr 15 • 1.16k • 5
IAAR-Shanghai/xVerify-9B-C

9B • Updated Apr 15 • 471 • 5
IAAR-Shanghai/xVerify-0.5B-I

0.5B • Updated Apr 15 • 1.57k • 7
IAAR-Shanghai/xVerify-3B-Ia

3B • Updated Apr 15 • 21 • 4

Visual-RFT: Visual Reinforcement Fine-Tuning

Paper • 2503.01785 • Published Mar 3 • 83
When an LLM is apprehensive about its answers -- and when its uncertainty is justified

Paper • 2503.01688 • Published Mar 3 • 21
Predictive Data Selection: The Data That Predicts Is the Data That Teaches

Paper • 2503.00808 • Published Mar 2 • 57
Chain of Draft: Thinking Faster by Writing Less

Paper • 2502.18600 • Published Feb 25 • 50

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