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Collections including paper arxiv:2407.04842

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 • 53
An Introduction to Vision-Language Modeling

Paper • 2405.17247 • Published May 27 • 85

AI Paper of the Day

A collection of papers that I think are interesting, one added each day

about 7 hours ago

Can Large Language Models Understand Context?

Paper • 2402.00858 • Published Feb 1 • 21
OLMo: Accelerating the Science of Language Models

Paper • 2402.00838 • Published Feb 1 • 79
Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18 • 143
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity

Paper • 2401.17072 • Published Jan 30 • 25

Internal Consistency and Self-Feedback in Large Language Models: A Survey

Paper • 2407.14507 • Published Jul 19 • 46
New Desiderata for Direct Preference Optimization

Paper • 2407.09072 • Published Jul 12 • 9
Self-Recognition in Language Models

Paper • 2407.06946 • Published Jul 9 • 24
MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation?

Paper • 2407.04842 • Published Jul 5 • 52

MJ-Bench Paper List

MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation?

Paper • 2407.04842 • Published Jul 5 • 52

Video-to-Audio Generation with Hidden Alignment

Paper • 2407.07464 • Published Jul 10 • 16
MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation?

Paper • 2407.04842 • Published Jul 5 • 52
FunAudioLLM: Voice Understanding and Generation Foundation Models for Natural Interaction Between Humans and LLMs

Paper • 2407.04051 • Published Jul 4 • 35

t2i-reinforcement

MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation?

Paper • 2407.04842 • Published Jul 5 • 52

MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation?

Paper • 2407.04842 • Published Jul 5 • 52
MMEvalPro: Calibrating Multimodal Benchmarks Towards Trustworthy and Efficient Evaluation

Paper • 2407.00468 • Published Jun 29 • 34
Qwen2 Technical Report

Paper • 2407.10671 • Published Jul 15 • 155

MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation?

Paper • 2407.04842 • Published Jul 5 • 52
yichaodu/DiffusionDPO-alignment-gemini-1.5

Text-to-Image • Updated Jul 9 • 11
yichaodu/DiffusionDPO-safety-internvl-1.5

Text-to-Image • Updated Jul 9 • 6
yichaodu/DiffusionDPO-alignment-gpt-4o

Text-to-Image • Updated Jul 9 • 12

about 20 hours ago

CatLIP: CLIP-level Visual Recognition Accuracy with 2.7x Faster Pre-training on Web-scale Image-Text Data

Paper • 2404.15653 • Published Apr 24 • 26
MoDE: CLIP Data Experts via Clustering

Paper • 2404.16030 • Published Apr 24 • 12
MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning

Paper • 2405.12130 • Published May 20 • 45
Reducing Transformer Key-Value Cache Size with Cross-Layer Attention

Paper • 2405.12981 • Published May 21 • 28

SwapAnything: Enabling Arbitrary Object Swapping in Personalized Visual Editing

Paper • 2404.05717 • Published Apr 8 • 24
ByteEdit: Boost, Comply and Accelerate Generative Image Editing

Paper • 2404.04860 • Published Apr 7 • 24
MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation?

Paper • 2407.04842 • Published Jul 5 • 52

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