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Collections including paper arxiv:2408.16357

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 • 126
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models

Paper • 2405.15574 • Published May 24 • 53
An Introduction to Vision-Language Modeling

Paper • 2405.17247 • Published May 27 • 85

EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Paper • 2402.04252 • Published Feb 6 • 25
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6 • 12
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7 • 38
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7 • 19

Multimodal LLMs

Building and better understanding vision-language models: insights and future directions

Paper • 2408.12637 • Published Aug 22 • 116
Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model

Paper • 2408.11039 • Published Aug 20 • 56
Mini-Omni: Language Models Can Hear, Talk While Thinking in Streaming

Paper • 2408.16725 • Published Aug 29 • 52
Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders

Paper • 2408.15998 • Published Aug 28 • 83

Papers - Multimodal - Alignment Correspondence Policy

Law of Vision Representation in MLLMs

Paper • 2408.16357 • Published Aug 29 • 92

Law of Vision Representation in MLLMs

Paper • 2408.16357 • Published Aug 29 • 92

Law of Vision Representation in MLLMs

Paper • 2408.16357 • Published Aug 29 • 92

Law of Vision Representation in MLLMs

Paper • 2408.16357 • Published Aug 29 • 92
CogVLM2: Visual Language Models for Image and Video Understanding

Paper • 2408.16500 • Published Aug 29 • 56
Learning to Move Like Professional Counter-Strike Players

Paper • 2408.13934 • Published Aug 25 • 21
Building and better understanding vision-language models: insights and future directions

Paper • 2408.12637 • Published Aug 22 • 116

LLM Pruning and Distillation in Practice: The Minitron Approach

Paper • 2408.11796 • Published Aug 21 • 53
TableBench: A Comprehensive and Complex Benchmark for Table Question Answering

Paper • 2408.09174 • Published Aug 17 • 51
To Code, or Not To Code? Exploring Impact of Code in Pre-training

Paper • 2408.10914 • Published Aug 20 • 40
Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications

Paper • 2408.11878 • Published Aug 20 • 50

Perception and abstraction. Each modality is tokenized and embedded into vectors for model to comprehend.

VILA^2: VILA Augmented VILA

Paper • 2407.17453 • Published Jul 24 • 38
Octopus v4: Graph of language models

Paper • 2404.19296 • Published Apr 30 • 117
Octo-planner: On-device Language Model for Planner-Action Agents

Paper • 2406.18082 • Published Jun 26 • 47
Dolphin: Long Context as a New Modality for Energy-Efficient On-Device Language Models

Paper • 2408.15518 • Published Aug 28 • 42

General Multimodal Learning

Multimodal Pathway: Improve Transformers with Irrelevant Data from Other Modalities

Paper • 2401.14405 • Published Jan 25 • 11
CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs

Paper • 2406.18521 • Published Jun 26 • 25
xGen-VideoSyn-1: High-fidelity Text-to-Video Synthesis with Compressed Representations

Paper • 2408.12590 • Published Aug 22 • 33
Law of Vision Representation in MLLMs

Paper • 2408.16357 • Published Aug 29 • 92

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