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about 3 hours ago

RLHF Workflow: From Reward Modeling to Online RLHF

Paper • 2405.07863 • Published May 13 • 62
Chameleon: Mixed-Modal Early-Fusion Foundation Models

Paper • 2405.09818 • Published May 16 • 116
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models

Paper • 2405.15574 • Published May 24 • 52
An Introduction to Vision-Language Modeling

Paper • 2405.17247 • Published May 27 • 78

MoEs papers reading list

Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Paper • 1701.06538 • Published Jan 23, 2017 • 4
Sparse Networks from Scratch: Faster Training without Losing Performance

Paper • 1907.04840 • Published Jul 10, 2019 • 3
ZeRO: Memory Optimizations Toward Training Trillion Parameter Models

Paper • 1910.02054 • Published Oct 4, 2019 • 3
A Mixture of h-1 Heads is Better than h Heads

Paper • 2005.06537 • Published May 13, 2020 • 2

Unlocking Continual Learning Abilities in Language Models

Paper • 2406.17245 • Published 24 days ago • 28
A Closer Look into Mixture-of-Experts in Large Language Models

Paper • 2406.18219 • Published 23 days ago • 14
Symbolic Learning Enables Self-Evolving Agents

Paper • 2406.18532 • Published 23 days ago • 10
Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs

Paper • 2406.18629 • Published 23 days ago • 37

A Closer Look into Mixture-of-Experts in Large Language Models

Paper • 2406.18219 • Published 23 days ago • 14

A Closer Look into Mixture-of-Experts in Large Language Models

Paper • 2406.18219 • Published 23 days ago • 14

TroL: Traversal of Layers for Large Language and Vision Models

Paper • 2406.12246 • Published Jun 18 • 34
A Closer Look into Mixture-of-Experts in Large Language Models

Paper • 2406.18219 • Published 23 days ago • 14

FLAME: Factuality-Aware Alignment for Large Language Models

Paper • 2405.01525 • Published May 2 • 23
DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data

Paper • 2405.14333 • Published May 23 • 29
Transformers Can Do Arithmetic with the Right Embeddings

Paper • 2405.17399 • Published May 27 • 50
EasyAnimate: A High-Performance Long Video Generation Method based on Transformer Architecture

Paper • 2405.18991 • Published May 29 • 12

Efficient Tool Use with Chain-of-Abstraction Reasoning

Paper • 2401.17464 • Published Jan 30 • 16
Divide and Conquer: Language Models can Plan and Self-Correct for Compositional Text-to-Image Generation

Paper • 2401.15688 • Published Jan 28 • 11
SliceGPT: Compress Large Language Models by Deleting Rows and Columns

Paper • 2401.15024 • Published Jan 26 • 64
From GPT-4 to Gemini and Beyond: Assessing the Landscape of MLLMs on Generalizability, Trustworthiness and Causality through Four Modalities

Paper • 2401.15071 • Published Jan 26 • 33

AnimateLCM: Accelerating the Animation of Personalized Diffusion Models and Adapters with Decoupled Consistency Learning

Paper • 2402.00769 • Published Feb 1 • 20
LCM-LoRA: A Universal Stable-Diffusion Acceleration Module

Paper • 2311.05556 • Published Nov 9, 2023 • 78
LongAlign: A Recipe for Long Context Alignment of Large Language Models

Paper • 2401.18058 • Published Jan 31 • 21
Efficient Tool Use with Chain-of-Abstraction Reasoning

Paper • 2401.17464 • Published Jan 30 • 16

Mixture of Experts

Memory Augmented Language Models through Mixture of Word Experts

Paper • 2311.10768 • Published Nov 15, 2023 • 16
Mixtral of Experts

Paper • 2401.04088 • Published Jan 8 • 156
MoE-Mamba: Efficient Selective State Space Models with Mixture of Experts

Paper • 2401.04081 • Published Jan 8 • 68
DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models

Paper • 2401.06066 • Published Jan 11 • 38

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