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Collections including paper arxiv:2503.22230

Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems

Paper • 2504.01990 • Published Mar 31 • 300
InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

Paper • 2504.10479 • Published Apr 14 • 303
What, How, Where, and How Well? A Survey on Test-Time Scaling in Large Language Models

Paper • 2503.24235 • Published Mar 31 • 54
Seedream 3.0 Technical Report

Paper • 2504.11346 • Published Apr 15 • 70

Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation

Paper • 2503.22675 • Published Mar 28 • 36
Exploring Data Scaling Trends and Effects in Reinforcement Learning from Human Feedback

Paper • 2503.22230 • Published Mar 28 • 45
ReSum: Unlocking Long-Horizon Search Intelligence via Context Summarization

Paper • 2509.13313 • Published Sep 16 • 79
WebResearcher: Unleashing unbounded reasoning capability in Long-Horizon Agents

Paper • 2509.13309 • Published Sep 16 • 67

LMM-R1: Empowering 3B LMMs with Strong Reasoning Abilities Through Two-Stage Rule-Based RL

Paper • 2503.07536 • Published Mar 10 • 88
Seedream 2.0: A Native Chinese-English Bilingual Image Generation Foundation Model

Paper • 2503.07703 • Published Mar 10 • 37
Gemini Embedding: Generalizable Embeddings from Gemini

Paper • 2503.07891 • Published Mar 10 • 45
Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning

Paper • 2503.07572 • Published Mar 10 • 47

REINFORCE++: A Simple and Efficient Approach for Aligning Large Language Models

Paper • 2501.03262 • Published Jan 4 • 103
MiniMax-01: Scaling Foundation Models with Lightning Attention

Paper • 2501.08313 • Published Jan 14 • 301
Towards Best Practices for Open Datasets for LLM Training

Paper • 2501.08365 • Published Jan 14 • 63
Qwen2.5-1M Technical Report

Paper • 2501.15383 • Published Jan 26 • 72

Dataset and Data processing

about 24 hours ago

Perplexed by Perplexity: Perplexity-Based Data Pruning With Small Reference Models

Paper • 2405.20541 • Published May 30, 2024 • 24
RedPajama: an Open Dataset for Training Large Language Models

Paper • 2411.12372 • Published Nov 19, 2024 • 56
Exploring Data Scaling Trends and Effects in Reinforcement Learning from Human Feedback

Paper • 2503.22230 • Published Mar 28 • 45
DAComp: Benchmarking Data Agents across the Full Data Intelligence Lifecycle

Paper • 2512.04324 • Published 7 days ago • 146

interesting work

MergeVQ: A Unified Framework for Visual Generation and Representation with Disentangled Token Merging and Quantization

Paper • 2504.00999 • Published Apr 1 • 95
Any2Caption:Interpreting Any Condition to Caption for Controllable Video Generation

Paper • 2503.24379 • Published Mar 31 • 76
Exploring the Effect of Reinforcement Learning on Video Understanding: Insights from SEED-Bench-R1

Paper • 2503.24376 • Published Mar 31 • 38
A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and Beyond

Paper • 2503.21614 • Published Mar 27 • 42

Natural Language Reinforcement Learning

Paper • 2411.14251 • Published Nov 21, 2024 • 31
Towards General-Purpose Model-Free Reinforcement Learning

Paper • 2501.16142 • Published Jan 27 • 30
Reinforcement Learning for Reasoning in Small LLMs: What Works and What Doesn't

Paper • 2503.16219 • Published Mar 20 • 52
Teaching Large Language Models to Reason with Reinforcement Learning

Paper • 2403.04642 • Published Mar 7, 2024 • 50

Wan-AI/Wan2.1-T2V-14B

Text-to-Video • Updated Mar 12 • 30.3k • • 1.43k
microsoft/OmniParser

Image-Text-to-Text • Updated Dec 2, 2024 • 497 • 1.7k
microsoft/OmniParser-v2.0

Updated Mar 28 • 889 • 1.31k
XXsongLALA/Qwen-2.5-7B-base-RAG-RL

Text Generation • 8B • Updated Mar 1 • 363 • 11

RL+reason model

RL + Transformer = A General-Purpose Problem Solver

Paper • 2501.14176 • Published Jan 24 • 28
Towards General-Purpose Model-Free Reinforcement Learning

Paper • 2501.16142 • Published Jan 27 • 30
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training

Paper • 2501.17161 • Published Jan 28 • 123
MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization

Paper • 2412.12098 • Published Dec 16, 2024 • 4

Rho-1: Not All Tokens Are What You Need

Paper • 2404.07965 • Published Apr 11, 2024 • 93
VASA-1: Lifelike Audio-Driven Talking Faces Generated in Real Time

Paper • 2404.10667 • Published Apr 16, 2024 • 23
Instruction-tuned Language Models are Better Knowledge Learners

Paper • 2402.12847 • Published Feb 20, 2024 • 26
DoRA: Weight-Decomposed Low-Rank Adaptation

Paper • 2402.09353 • Published Feb 14, 2024 • 30

Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems

Paper • 2504.01990 • Published Mar 31 • 300
InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

Paper • 2504.10479 • Published Apr 14 • 303
What, How, Where, and How Well? A Survey on Test-Time Scaling in Large Language Models

Paper • 2503.24235 • Published Mar 31 • 54
Seedream 3.0 Technical Report

Paper • 2504.11346 • Published Apr 15 • 70

interesting work

MergeVQ: A Unified Framework for Visual Generation and Representation with Disentangled Token Merging and Quantization

Paper • 2504.00999 • Published Apr 1 • 95
Any2Caption:Interpreting Any Condition to Caption for Controllable Video Generation

Paper • 2503.24379 • Published Mar 31 • 76
Exploring the Effect of Reinforcement Learning on Video Understanding: Insights from SEED-Bench-R1

Paper • 2503.24376 • Published Mar 31 • 38
A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and Beyond

Paper • 2503.21614 • Published Mar 27 • 42

Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation

Paper • 2503.22675 • Published Mar 28 • 36
Exploring Data Scaling Trends and Effects in Reinforcement Learning from Human Feedback

Paper • 2503.22230 • Published Mar 28 • 45
ReSum: Unlocking Long-Horizon Search Intelligence via Context Summarization

Paper • 2509.13313 • Published Sep 16 • 79
WebResearcher: Unleashing unbounded reasoning capability in Long-Horizon Agents

Paper • 2509.13309 • Published Sep 16 • 67

Natural Language Reinforcement Learning

Paper • 2411.14251 • Published Nov 21, 2024 • 31
Towards General-Purpose Model-Free Reinforcement Learning

Paper • 2501.16142 • Published Jan 27 • 30
Reinforcement Learning for Reasoning in Small LLMs: What Works and What Doesn't

Paper • 2503.16219 • Published Mar 20 • 52
Teaching Large Language Models to Reason with Reinforcement Learning

Paper • 2403.04642 • Published Mar 7, 2024 • 50

LMM-R1: Empowering 3B LMMs with Strong Reasoning Abilities Through Two-Stage Rule-Based RL

Paper • 2503.07536 • Published Mar 10 • 88
Seedream 2.0: A Native Chinese-English Bilingual Image Generation Foundation Model

Paper • 2503.07703 • Published Mar 10 • 37
Gemini Embedding: Generalizable Embeddings from Gemini

Paper • 2503.07891 • Published Mar 10 • 45
Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning

Paper • 2503.07572 • Published Mar 10 • 47

Wan-AI/Wan2.1-T2V-14B

Text-to-Video • Updated Mar 12 • 30.3k • • 1.43k
microsoft/OmniParser

Image-Text-to-Text • Updated Dec 2, 2024 • 497 • 1.7k
microsoft/OmniParser-v2.0

Updated Mar 28 • 889 • 1.31k
XXsongLALA/Qwen-2.5-7B-base-RAG-RL

Text Generation • 8B • Updated Mar 1 • 363 • 11

REINFORCE++: A Simple and Efficient Approach for Aligning Large Language Models

Paper • 2501.03262 • Published Jan 4 • 103
MiniMax-01: Scaling Foundation Models with Lightning Attention

Paper • 2501.08313 • Published Jan 14 • 301
Towards Best Practices for Open Datasets for LLM Training

Paper • 2501.08365 • Published Jan 14 • 63
Qwen2.5-1M Technical Report

Paper • 2501.15383 • Published Jan 26 • 72

RL+reason model

RL + Transformer = A General-Purpose Problem Solver

Paper • 2501.14176 • Published Jan 24 • 28
Towards General-Purpose Model-Free Reinforcement Learning

Paper • 2501.16142 • Published Jan 27 • 30
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training

Paper • 2501.17161 • Published Jan 28 • 123
MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization

Paper • 2412.12098 • Published Dec 16, 2024 • 4

Dataset and Data processing

about 24 hours ago

Perplexed by Perplexity: Perplexity-Based Data Pruning With Small Reference Models

Paper • 2405.20541 • Published May 30, 2024 • 24
RedPajama: an Open Dataset for Training Large Language Models

Paper • 2411.12372 • Published Nov 19, 2024 • 56
Exploring Data Scaling Trends and Effects in Reinforcement Learning from Human Feedback

Paper • 2503.22230 • Published Mar 28 • 45
DAComp: Benchmarking Data Agents across the Full Data Intelligence Lifecycle

Paper • 2512.04324 • Published 7 days ago • 146

Rho-1: Not All Tokens Are What You Need

Paper • 2404.07965 • Published Apr 11, 2024 • 93
VASA-1: Lifelike Audio-Driven Talking Faces Generated in Real Time

Paper • 2404.10667 • Published Apr 16, 2024 • 23
Instruction-tuned Language Models are Better Knowledge Learners

Paper • 2402.12847 • Published Feb 20, 2024 • 26
DoRA: Weight-Decomposed Low-Rank Adaptation

Paper • 2402.09353 • Published Feb 14, 2024 • 30

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