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Collections including paper arxiv:2504.10903

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

OmniThink: Expanding Knowledge Boundaries in Machine Writing through Thinking

Paper • 2501.09751 • Published Jan 16 • 48
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models

Paper • 2501.09686 • Published Jan 16 • 41
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Paper • 2501.12948 • Published Jan 22 • 429
s1: Simple test-time scaling

Paper • 2501.19393 • Published Jan 31 • 124

Reasoning, Thinking, RL and Test-Time Scaling

Mulberry: Empowering MLLM with o1-like Reasoning and Reflection via Collective Monte Carlo Tree Search

Paper • 2412.18319 • Published Dec 24, 2024 • 39
Token-Budget-Aware LLM Reasoning

Paper • 2412.18547 • Published Dec 24, 2024 • 46
Efficiently Serving LLM Reasoning Programs with Certaindex

Paper • 2412.20993 • Published Dec 30, 2024 • 37
B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners

Paper • 2412.17256 • Published Dec 23, 2024 • 47

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

MLLM-as-a-Judge for Image Safety without Human Labeling

Paper • 2501.00192 • Published Dec 31, 2024 • 31
2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining

Paper • 2501.00958 • Published Jan 1 • 107
Xmodel-2 Technical Report

Paper • 2412.19638 • Published Dec 27, 2024 • 26
HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs

Paper • 2412.18925 • Published Dec 25, 2024 • 104

The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits

Paper • 2402.17764 • Published Feb 27, 2024 • 627
BitNet: Scaling 1-bit Transformers for Large Language Models

Paper • 2310.11453 • Published Oct 17, 2023 • 105
Mixture-of-Depths: Dynamically allocating compute in transformer-based language models

Paper • 2404.02258 • Published Apr 2, 2024 • 107
TransformerFAM: Feedback attention is working memory

Paper • 2404.09173 • Published Apr 14, 2024 • 43

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

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

OmniThink: Expanding Knowledge Boundaries in Machine Writing through Thinking

Paper • 2501.09751 • Published Jan 16 • 48
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models

Paper • 2501.09686 • Published Jan 16 • 41
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Paper • 2501.12948 • Published Jan 22 • 429
s1: Simple test-time scaling

Paper • 2501.19393 • Published Jan 31 • 124

MLLM-as-a-Judge for Image Safety without Human Labeling

Paper • 2501.00192 • Published Dec 31, 2024 • 31
2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining

Paper • 2501.00958 • Published Jan 1 • 107
Xmodel-2 Technical Report

Paper • 2412.19638 • Published Dec 27, 2024 • 26
HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs

Paper • 2412.18925 • Published Dec 25, 2024 • 104

Reasoning, Thinking, RL and Test-Time Scaling

Mulberry: Empowering MLLM with o1-like Reasoning and Reflection via Collective Monte Carlo Tree Search

Paper • 2412.18319 • Published Dec 24, 2024 • 39
Token-Budget-Aware LLM Reasoning

Paper • 2412.18547 • Published Dec 24, 2024 • 46
Efficiently Serving LLM Reasoning Programs with Certaindex

Paper • 2412.20993 • Published Dec 30, 2024 • 37
B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners

Paper • 2412.17256 • Published Dec 23, 2024 • 47

The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits

Paper • 2402.17764 • Published Feb 27, 2024 • 627
BitNet: Scaling 1-bit Transformers for Large Language Models

Paper • 2310.11453 • Published Oct 17, 2023 • 105
Mixture-of-Depths: Dynamically allocating compute in transformer-based language models

Paper • 2404.02258 • Published Apr 2, 2024 • 107
TransformerFAM: Feedback attention is working memory

Paper • 2404.09173 • Published Apr 14, 2024 • 43

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