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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Published
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16
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ZeroQuant(4+2): Redefining LLMs Quantization with a New FP6-Centric Strategy for Diverse Generative Tasks
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Vision-Language Models as a Source of Rewards
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StemGen: A music generation model that listens
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Pearl: A Production-ready Reinforcement Learning Agent
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TinySAM: Pushing the Envelope for Efficient Segment Anything Model
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PanGu-π: Enhancing Language Model Architectures via Nonlinearity Compensation
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Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback
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Improving Text Embeddings with Large Language Models
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DocLLM: A layout-aware generative language model for multimodal document understanding
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Understanding LLMs: A Comprehensive Overview from Training to Inference
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A Rank Stabilization Scaling Factor for Fine-Tuning with LoRA
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Zephyr: Direct Distillation of LM Alignment
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MoE-Mamba: Efficient Selective State Space Models with Mixture of Experts
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Soaring from 4K to 400K: Extending LLM's Context with Activation Beacon
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MagicVideo-V2: Multi-Stage High-Aesthetic Video Generation
Paper • 2401.04468 • Published • 48 -
Lightning Attention-2: A Free Lunch for Handling Unlimited Sequence Lengths in Large Language Models
Paper • 2401.04658 • Published • 25 -
Masked Audio Generation using a Single Non-Autoregressive Transformer
Paper • 2401.04577 • Published • 42 -
Tuning LLMs with Contrastive Alignment Instructions for Machine Translation in Unseen, Low-resource Languages
Paper • 2401.05811 • Published • 6 -
Self-Instruct: Aligning Language Model with Self Generated Instructions
Paper • 2212.10560 • Published • 8 -
DeepSpeed-FastGen: High-throughput Text Generation for LLMs via MII and DeepSpeed-Inference
Paper • 2401.08671 • Published • 14 -
Scalable Pre-training of Large Autoregressive Image Models
Paper • 2401.08541 • Published • 36 -
DiffusionGPT: LLM-Driven Text-to-Image Generation System
Paper • 2401.10061 • Published • 28 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 144 -
Zero Bubble Pipeline Parallelism
Paper • 2401.10241 • Published • 23 -
Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads
Paper • 2401.10774 • Published • 54 -
Lost in the Middle: How Language Models Use Long Contexts
Paper • 2307.03172 • Published • 36 -
AutoRT: Embodied Foundation Models for Large Scale Orchestration of Robotic Agents
Paper • 2401.12963 • Published • 12 -
Lumiere: A Space-Time Diffusion Model for Video Generation
Paper • 2401.12945 • Published • 86 -
MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI
Paper • 2311.16502 • Published • 35 -
Proactive Detection of Voice Cloning with Localized Watermarking
Paper • 2401.17264 • Published • 17 -
LongAlign: A Recipe for Long Context Alignment of Large Language Models
Paper • 2401.18058 • Published • 21 -
MobileDiffusion: Subsecond Text-to-Image Generation on Mobile Devices
Paper • 2311.16567 • Published • 22 -
A Long Way to Go: Investigating Length Correlations in RLHF
Paper • 2310.03716 • Published • 9 -
Efficient Exploration for LLMs
Paper • 2402.00396 • Published • 21 -
Transforming and Combining Rewards for Aligning Large Language Models
Paper • 2402.00742 • Published • 11 -
MoE-LLaVA: Mixture of Experts for Large Vision-Language Models
Paper • 2401.15947 • Published • 49 -
OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset
Paper • 2402.10176 • Published • 35 -
DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models
Paper • 2309.14509 • Published • 17 -
MambaByte: Token-free Selective State Space Model
Paper • 2401.13660 • Published • 51 -
S-LoRA: Serving Thousands of Concurrent LoRA Adapters
Paper • 2311.03285 • Published • 28 -
LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models
Paper • 2309.12307 • Published • 87 -
NExT-GPT: Any-to-Any Multimodal LLM
Paper • 2309.05519 • Published • 78 -
Mobile-Agent: Autonomous Multi-Modal Mobile Device Agent with Visual Perception
Paper • 2401.16158 • Published • 18 -
Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM
Paper • 2403.07816 • Published • 39 -
MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training
Paper • 2403.09611 • Published • 124 -
Jack of All Trades, Master of Some, a Multi-Purpose Transformer Agent
Paper • 2402.09844 • Published • 20 -
Llama 2: Open Foundation and Fine-Tuned Chat Models
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OpenELM: An Efficient Language Model Family with Open-source Training and Inference Framework
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LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding
Paper • 2404.16710 • Published • 74 -
MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases
Paper • 2402.14905 • Published • 126 -
DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Paper • 2402.03300 • Published • 69 -
RLHF Workflow: From Reward Modeling to Online RLHF
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LoRA Learns Less and Forgets Less
Paper • 2405.09673 • Published • 87 -
Pheme: Efficient and Conversational Speech Generation
Paper • 2401.02839 • Published • 17 -
OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF Framework
Paper • 2405.11143 • Published • 34 -
Parrot: Enhancing Multi-Turn Chat Models by Learning to Ask Questions
Paper • 2310.07301 • Published • 1 -
Uni-MoE: Scaling Unified Multimodal LLMs with Mixture of Experts
Paper • 2405.11273 • Published • 17 -
SimPO: Simple Preference Optimization with a Reference-Free Reward
Paper • 2405.14734 • Published • 11 -
Aligning Large Multimodal Models with Factually Augmented RLHF
Paper • 2309.14525 • Published • 30 -
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Paper • 2310.11511 • Published • 74 -
Show, Don't Tell: Aligning Language Models with Demonstrated Feedback
Paper • 2406.00888 • Published • 30 -
Step-aware Preference Optimization: Aligning Preference with Denoising Performance at Each Step
Paper • 2406.04314 • Published • 27 -
Scalable Diffusion Models with Transformers
Paper • 2212.09748 • Published • 16 -
Back to Basics: Revisiting REINFORCE Style Optimization for Learning from Human Feedback in LLMs
Paper • 2402.14740 • Published • 11 -
RewardBench: Evaluating Reward Models for Language Modeling
Paper • 2403.13787 • Published • 21 -
An Introduction to Vision-Language Modeling
Paper • 2405.17247 • Published • 85 -
Florence-2: Advancing a Unified Representation for a Variety of Vision Tasks
Paper • 2311.06242 • Published • 84 -
Seed-TTS: A Family of High-Quality Versatile Speech Generation Models
Paper • 2406.02430 • Published • 30 -
MobileVLM : A Fast, Reproducible and Strong Vision Language Assistant for Mobile Devices
Paper • 2312.16886 • Published • 19 -
MobileVLM V2: Faster and Stronger Baseline for Vision Language Model
Paper • 2402.03766 • Published • 12 -
Qwen2 Technical Report
Paper • 2407.10671 • Published • 156 -
Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing
Paper • 2406.08464 • Published • 65 -
Imagen 3
Paper • 2408.07009 • Published • 61 -
xGen-MM (BLIP-3): A Family of Open Large Multimodal Models
Paper • 2408.08872 • Published • 97 -
mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text Retrieval
Paper • 2407.19669 • Published • 21 -
Building and better understanding vision-language models: insights and future directions
Paper • 2408.12637 • Published • 118 -
Generative Verifiers: Reward Modeling as Next-Token Prediction
Paper • 2408.15240 • Published • 13 -
Language Model Can Listen While Speaking
Paper • 2408.02622 • Published • 37 -
WildVis: Open Source Visualizer for Million-Scale Chat Logs in the Wild
Paper • 2409.03753 • Published • 18 -
LLaMA-Omni: Seamless Speech Interaction with Large Language Models
Paper • 2409.06666 • Published • 55 -
MVLLaVA: An Intelligent Agent for Unified and Flexible Novel View Synthesis
Paper • 2409.07129 • Published • 6 -
General OCR Theory: Towards OCR-2.0 via a Unified End-to-end Model
Paper • 2409.01704 • Published • 82 -
Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution
Paper • 2409.12191 • Published • 74 -
Prithvi WxC: Foundation Model for Weather and Climate
Paper • 2409.13598 • Published • 37 -
Baichuan-Omni Technical Report
Paper • 2410.08565 • Published • 84 -
Rewarding Progress: Scaling Automated Process Verifiers for LLM Reasoning
Paper • 2410.08146 • Published -
Pangea: A Fully Open Multilingual Multimodal LLM for 39 Languages
Paper • 2410.16153 • Published • 42 -
Baichuan Alignment Technical Report
Paper • 2410.14940 • Published • 48 -
PUMA: Empowering Unified MLLM with Multi-granular Visual Generation
Paper • 2410.13861 • Published • 53 -
Ferret-UI: Grounded Mobile UI Understanding with Multimodal LLMs
Paper • 2404.05719 • Published • 80 -
Skywork-Reward: Bag of Tricks for Reward Modeling in LLMs
Paper • 2410.18451 • Published • 13 -
Continuous Speech Synthesis using per-token Latent Diffusion
Paper • 2410.16048 • Published • 28 -
Fast Best-of-N Decoding via Speculative Rejection
Paper • 2410.20290 • Published • 9 -
Precise and Dexterous Robotic Manipulation via Human-in-the-Loop Reinforcement Learning
Paper • 2410.21845 • Published • 11 -
OpenWebVoyager: Building Multimodal Web Agents via Iterative Real-World Exploration, Feedback and Optimization
Paper • 2410.19609 • Published • 16 -
AutoKaggle: A Multi-Agent Framework for Autonomous Data Science Competitions
Paper • 2410.20424 • Published • 37 -
Flow-DPO: Improving LLM Mathematical Reasoning through Online Multi-Agent Learning
Paper • 2410.22304 • Published • 15 -
A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks
Paper • 2410.22391 • Published • 21 -
TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters
Paper • 2410.23168 • Published • 22 -
Stealing User Prompts from Mixture of Experts
Paper • 2410.22884 • Published • 13 -
LLaMA-Berry: Pairwise Optimization for O1-like Olympiad-Level Mathematical Reasoning
Paper • 2410.02884 • Published • 50 -
Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent
Paper • 2411.02265 • Published • 24 -
Watermark Anything with Localized Messages
Paper • 2411.07231 • Published • 19 -
LLaVA-o1: Let Vision Language Models Reason Step-by-Step
Paper • 2411.10440 • Published • 93 -
Marco-o1: Towards Open Reasoning Models for Open-Ended Solutions
Paper • 2411.14405 • Published • 26 -
Multimodal Autoregressive Pre-training of Large Vision Encoders
Paper • 2411.14402 • Published • 28