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Collections including paper arxiv:2408.02545

Papers I want to read

Papers in my to-read list

RLHF Workflow: From Reward Modeling to Online RLHF

Paper • 2405.07863 • Published May 13 • 67
Chameleon: Mixed-Modal Early-Fusion Foundation Models

Paper • 2405.09818 • Published May 16 • 125
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 • 84

Ultra-Long Sequence Distributed Transformer

Paper • 2311.02382 • Published Nov 4, 2023 • 2
Ziya2: Data-centric Learning is All LLMs Need

Paper • 2311.03301 • Published Nov 6, 2023 • 16
Relax: Composable Abstractions for End-to-End Dynamic Machine Learning

Paper • 2311.02103 • Published Nov 1, 2023 • 16
Extending Context Window of Large Language Models via Semantic Compression

Paper • 2312.09571 • Published Dec 15, 2023 • 12

LinFusion: 1 GPU, 1 Minute, 16K Image

Paper • 2409.02097 • Published 16 days ago • 31
Phidias: A Generative Model for Creating 3D Content from Text, Image, and 3D Conditions with Reference-Augmented Diffusion

Paper • 2409.11406 • Published 2 days ago • 19
Diffusion Models Are Real-Time Game Engines

Paper • 2408.14837 • Published 24 days ago • 119
Segment Anything with Multiple Modalities

Paper • 2408.09085 • Published Aug 17 • 20

RAG Foundry: A Framework for Enhancing LLMs for Retrieval Augmented Generation

Paper • 2408.02545 • Published Aug 5 • 32

RAG Foundry: A Framework for Enhancing LLMs for Retrieval Augmented Generation

Paper • 2408.02545 • Published Aug 5 • 32

RAG Foundry: A Framework for Enhancing LLMs for Retrieval Augmented Generation

Paper • 2408.02545 • Published Aug 5 • 32

Fast Matrix Multiplications for Lookup Table-Quantized LLMs

Paper • 2407.10960 • Published Jul 15 • 10
ChatQA 2: Bridging the Gap to Proprietary LLMs in Long Context and RAG Capabilities

Paper • 2407.14482 • Published Jul 19 • 24
EVLM: An Efficient Vision-Language Model for Visual Understanding

Paper • 2407.14177 • Published Jul 19 • 42
Knowledge Mechanisms in Large Language Models: A Survey and Perspective

Paper • 2407.15017 • Published Jul 22 • 33

From Local to Global: A Graph RAG Approach to Query-Focused Summarization

Paper • 2404.16130 • Published Apr 24 • 3
RAG Foundry: A Framework for Enhancing LLMs for Retrieval Augmented Generation

Paper • 2408.02545 • Published Aug 5 • 32

Large Language Model Unlearning via Embedding-Corrupted Prompts

Paper • 2406.07933 • Published Jun 12 • 6
Block Transformer: Global-to-Local Language Modeling for Fast Inference

Paper • 2406.02657 • Published Jun 4 • 36
Learn Beyond The Answer: Training Language Models with Reflection for Mathematical Reasoning

Paper • 2406.12050 • Published Jun 17 • 16
How Do Large Language Models Acquire Factual Knowledge During Pretraining?

Paper • 2406.11813 • Published Jun 17 • 29

To read... eventually

MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training

Paper • 2403.09611 • Published Mar 14 • 123
Evolutionary Optimization of Model Merging Recipes

Paper • 2403.13187 • Published Mar 19 • 49
MobileVLM V2: Faster and Stronger Baseline for Vision Language Model

Paper • 2402.03766 • Published Feb 6 • 12
LLM Agent Operating System

Paper • 2403.16971 • Published Mar 25 • 64

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