A Picture is Worth More Than 77 Text Tokens: Evaluating CLIP-Style Models on Dense Captions
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2312.08578
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20
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ZeroQuant(4+2): Redefining LLMs Quantization with a New FP6-Centric Strategy for Diverse Generative Tasks
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Pearl: A Production-ready Reinforcement Learning Agent
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Masked Audio Generation using a Single Non-Autoregressive Transformer
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Scalable Pre-training of Large Autoregressive Image Models
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DiffusionGPT: LLM-Driven Text-to-Image Generation System
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DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models
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MambaByte: Token-free Selective State Space Model
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S-LoRA: Serving Thousands of Concurrent LoRA Adapters
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LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models
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NExT-GPT: Any-to-Any Multimodal LLM
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RLHF Workflow: From Reward Modeling to Online RLHF
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LoRA Learns Less and Forgets Less
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Parrot: Enhancing Multi-Turn Chat Models by Learning to Ask Questions
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Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
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Show, Don't Tell: Aligning Language Models with Demonstrated Feedback
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Step-aware Preference Optimization: Aligning Preference with Denoising Performance at Each Step
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Scalable Diffusion Models with Transformers
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Back to Basics: Revisiting REINFORCE Style Optimization for Learning from Human Feedback in LLMs
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Florence-2: Advancing a Unified Representation for a Variety of Vision Tasks
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Seed-TTS: A Family of High-Quality Versatile Speech Generation Models
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MobileVLM : A Fast, Reproducible and Strong Vision Language Assistant for Mobile Devices
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Generative Verifiers: Reward Modeling as Next-Token Prediction
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Language Model Can Listen While Speaking
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Rewarding Progress: Scaling Automated Process Verifiers for LLM Reasoning
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Continuous Speech Synthesis using per-token Latent Diffusion
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AutoKaggle: A Multi-Agent Framework for Autonomous Data Science Competitions
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Flow-DPO: Improving LLM Mathematical Reasoning through Online Multi-Agent Learning
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A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks
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Watermark Anything with Localized Messages
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Marco-o1: Towards Open Reasoning Models for Open-Ended Solutions
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Multimodal Autoregressive Pre-training of Large Vision Encoders
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Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference
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DynaSaur: Large Language Agents Beyond Predefined Actions
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Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters
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Self-Consistency Improves Chain of Thought Reasoning in Language Models
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REINFORCE++: A Simple and Efficient Approach for Aligning Large Language Models
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A2C is a special case of PPO
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rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
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Search-o1: Agentic Search-Enhanced Large Reasoning Models
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ProcessBench: Identifying Process Errors in Mathematical Reasoning
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CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval
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PaSa: An LLM Agent for Comprehensive Academic Paper Search
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DeepSeek-V3 Technical Report
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Demons in the Detail: On Implementing Load Balancing Loss for Training Specialized Mixture-of-Expert Models
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Step-KTO: Optimizing Mathematical Reasoning through Stepwise Binary Feedback
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ComplexFuncBench: Exploring Multi-Step and Constrained Function Calling under Long-Context Scenario
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Let the Expert Stick to His Last: Expert-Specialized Fine-Tuning for Sparse Architectural Large Language Models
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LIMA: Less Is More for Alignment
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Chain-of-Retrieval Augmented Generation
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Streaming DiLoCo with overlapping communication: Towards a Distributed Free Lunch
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SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training
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VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models
Paper • 2502.02492 • Published • 66 -
The Lessons of Developing Process Reward Models in Mathematical Reasoning
Paper • 2501.07301 • Published • 99 -
Learn Your Reference Model for Real Good Alignment
Paper • 2404.09656 • Published • 89 -
Qwen2.5-VL Technical Report
Paper • 2502.13923 • Published • 203 -
SemantiCodec: An Ultra Low Bitrate Semantic Audio Codec for General Sound
Paper • 2405.00233 • Published • 17 -
R1-Omni: Explainable Omni-Multimodal Emotion Recognition with Reinforcing Learning
Paper • 2503.05379 • Published • 38 -
Learning from Failures in Multi-Attempt Reinforcement Learning
Paper • 2503.04808 • Published • 18 -
Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models
Paper • 2503.06749 • Published • 31 -
Gemini Embedding: Generalizable Embeddings from Gemini
Paper • 2503.07891 • Published • 43 -
Charting and Navigating Hugging Face's Model Atlas
Paper • 2503.10633 • Published • 91 -
Modifying Large Language Model Post-Training for Diverse Creative Writing
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Rethinking RL Scaling for Vision Language Models: A Transparent, From-Scratch Framework and Comprehensive Evaluation Scheme
Paper • 2504.02587 • Published • 32 -
Skywork R1V: Pioneering Multimodal Reasoning with Chain-of-Thought
Paper • 2504.05599 • Published • 85 -
FantasyTalking: Realistic Talking Portrait Generation via Coherent Motion Synthesis
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DAPO: An Open-Source LLM Reinforcement Learning System at Scale
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ReTool: Reinforcement Learning for Strategic Tool Use in LLMs
Paper • 2504.11536 • Published • 62 -
UI-R1: Enhancing Action Prediction of GUI Agents by Reinforcement Learning
Paper • 2503.21620 • Published • 62 -
Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?
Paper • 2504.13837 • Published • 134 -
The Bitter Lesson Learned from 2,000+ Multilingual Benchmarks
Paper • 2504.15521 • Published • 64 -
LLMs are Greedy Agents: Effects of RL Fine-tuning on Decision-Making Abilities
Paper • 2504.16078 • Published • 21 -
Reasoning Models Can Be Effective Without Thinking
Paper • 2504.09858 • Published • 12 -
AttentionInfluence: Adopting Attention Head Influence for Weak-to-Strong Pretraining Data Selection
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Paper • 2505.07062 • Published • 149 -
DreamO: A Unified Framework for Image Customization
Paper • 2504.16915 • Published • 24 -
MiniMax-Speech: Intrinsic Zero-Shot Text-to-Speech with a Learnable Speaker Encoder
Paper • 2505.07916 • Published • 130 -
Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective
Paper • 2505.15045 • Published • 54 -
Scaling Law for Quantization-Aware Training
Paper • 2505.14302 • Published • 75 -
Web-Shepherd: Advancing PRMs for Reinforcing Web Agents
Paper • 2505.15277 • Published • 103 -
Efficient Agent Training for Computer Use
Paper • 2505.13909 • Published • 44 -
MMaDA: Multimodal Large Diffusion Language Models
Paper • 2505.15809 • Published • 95 -
One RL to See Them All: Visual Triple Unified Reinforcement Learning
Paper • 2505.18129 • Published • 59 -
The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models
Paper • 2505.22617 • Published • 130 -
RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval
Paper • 2401.18059 • Published • 45 -
SeedVR2: One-Step Video Restoration via Diffusion Adversarial Post-Training
Paper • 2506.05301 • Published • 55 -
OLMoTrace: Tracing Language Model Outputs Back to Trillions of Training Tokens
Paper • 2504.07096 • Published • 76 -
Chain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RL
Paper • 2508.13167 • Published • 127 -
Step-Audio 2 Technical Report
Paper • 2507.16632 • Published • 72 -
AgentScope 1.0: A Developer-Centric Framework for Building Agentic Applications
Paper • 2508.16279 • Published • 49 -
Reinforcement Pre-Training
Paper • 2506.08007 • Published • 260 -
Group Sequence Policy Optimization
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Neural Discrete Representation Learning
Paper • 1711.00937 • Published -
Qwen2.5-Omni Technical Report
Paper • 2503.20215 • Published • 164