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Collections including paper arxiv:2403.02677

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

Paper • 2402.04252 • Published Feb 6, 2024 • 29
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 14
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 44
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 23

Image Text Eval

Finetuned Multimodal Language Models Are High-Quality Image-Text Data Filters

Paper • 2403.02677 • Published Mar 5, 2024 • 18

Finetuned Multimodal Language Models Are High-Quality Image-Text Data Filters

Paper • 2403.02677 • Published Mar 5, 2024 • 18
Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models

Paper • 2403.03003 • Published Mar 5, 2024 • 11
InfiMM-HD: A Leap Forward in High-Resolution Multimodal Understanding

Paper • 2403.01487 • Published Mar 3, 2024 • 16
VisionLLaMA: A Unified LLaMA Interface for Vision Tasks

Paper • 2403.00522 • Published Mar 1, 2024 • 46

AI Paper of the Day

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

Can Large Language Models Understand Context?

Paper • 2402.00858 • Published Feb 1, 2024 • 23
OLMo: Accelerating the Science of Language Models

Paper • 2402.00838 • Published Feb 1, 2024 • 85
Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18, 2024 • 151
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity

Paper • 2401.17072 • Published Jan 30, 2024 • 25

PRDP: Proximal Reward Difference Prediction for Large-Scale Reward Finetuning of Diffusion Models

Paper • 2402.08714 • Published Feb 13, 2024 • 15
Data Engineering for Scaling Language Models to 128K Context

Paper • 2402.10171 • Published Feb 15, 2024 • 25
RLVF: Learning from Verbal Feedback without Overgeneralization

Paper • 2402.10893 • Published Feb 16, 2024 • 12
Coercing LLMs to do and reveal (almost) anything

Paper • 2402.14020 • Published Feb 21, 2024 • 13

Woodpecker: Hallucination Correction for Multimodal Large Language Models

Paper • 2310.16045 • Published Oct 24, 2023 • 17
HallusionBench: You See What You Think? Or You Think What You See? An Image-Context Reasoning Benchmark Challenging for GPT-4V(ision), LLaVA-1.5, and Other Multi-modality Models

Paper • 2310.14566 • Published Oct 23, 2023 • 27
SILC: Improving Vision Language Pretraining with Self-Distillation

Paper • 2310.13355 • Published Oct 20, 2023 • 9
Conditional Diffusion Distillation

Paper • 2310.01407 • Published Oct 2, 2023 • 20

Papers I find interesting

Scaling Instruction-Finetuned Language Models

Paper • 2210.11416 • Published Oct 20, 2022 • 7
Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Paper • 2312.00752 • Published Dec 1, 2023 • 148
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Paper • 2403.05530 • Published Mar 8, 2024 • 65
Yi: Open Foundation Models by 01.AI

Paper • 2403.04652 • Published Mar 7, 2024 • 65

Scaling Rectified Flow Transformers for High-Resolution Image Synthesis

Paper • 2403.03206 • Published Mar 5, 2024 • 71
Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models

Paper • 2403.03003 • Published Mar 5, 2024 • 11
MAGID: An Automated Pipeline for Generating Synthetic Multi-modal Datasets

Paper • 2403.03194 • Published Mar 5, 2024 • 15
Finetuned Multimodal Language Models Are High-Quality Image-Text Data Filters

Paper • 2403.02677 • Published Mar 5, 2024 • 18

LLaMA Beyond English: An Empirical Study on Language Capability Transfer

Paper • 2401.01055 • Published Jan 2, 2024 • 55
Improving Text Embeddings with Large Language Models

Paper • 2401.00368 • Published Dec 31, 2023 • 82
HyperLLaVA: Dynamic Visual and Language Expert Tuning for Multimodal Large Language Models

Paper • 2403.13447 • Published Mar 20, 2024 • 19
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Paper • 2403.05530 • Published Mar 8, 2024 • 65

Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18, 2024 • 151
ReFT: Reasoning with Reinforced Fine-Tuning

Paper • 2401.08967 • Published Jan 17, 2024 • 31
Tuning Language Models by Proxy

Paper • 2401.08565 • Published Jan 16, 2024 • 22
TrustLLM: Trustworthiness in Large Language Models

Paper • 2401.05561 • Published Jan 10, 2024 • 69

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

Paper • 2402.04252 • Published Feb 6, 2024 • 29
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 14
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 44
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 23

Woodpecker: Hallucination Correction for Multimodal Large Language Models

Paper • 2310.16045 • Published Oct 24, 2023 • 17
HallusionBench: You See What You Think? Or You Think What You See? An Image-Context Reasoning Benchmark Challenging for GPT-4V(ision), LLaVA-1.5, and Other Multi-modality Models

Paper • 2310.14566 • Published Oct 23, 2023 • 27
SILC: Improving Vision Language Pretraining with Self-Distillation

Paper • 2310.13355 • Published Oct 20, 2023 • 9
Conditional Diffusion Distillation

Paper • 2310.01407 • Published Oct 2, 2023 • 20

Image Text Eval

Finetuned Multimodal Language Models Are High-Quality Image-Text Data Filters

Paper • 2403.02677 • Published Mar 5, 2024 • 18

Papers I find interesting

Scaling Instruction-Finetuned Language Models

Paper • 2210.11416 • Published Oct 20, 2022 • 7
Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Paper • 2312.00752 • Published Dec 1, 2023 • 148
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Paper • 2403.05530 • Published Mar 8, 2024 • 65
Yi: Open Foundation Models by 01.AI

Paper • 2403.04652 • Published Mar 7, 2024 • 65

Finetuned Multimodal Language Models Are High-Quality Image-Text Data Filters

Paper • 2403.02677 • Published Mar 5, 2024 • 18
Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models

Paper • 2403.03003 • Published Mar 5, 2024 • 11
InfiMM-HD: A Leap Forward in High-Resolution Multimodal Understanding

Paper • 2403.01487 • Published Mar 3, 2024 • 16
VisionLLaMA: A Unified LLaMA Interface for Vision Tasks

Paper • 2403.00522 • Published Mar 1, 2024 • 46

Scaling Rectified Flow Transformers for High-Resolution Image Synthesis

Paper • 2403.03206 • Published Mar 5, 2024 • 71
Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models

Paper • 2403.03003 • Published Mar 5, 2024 • 11
MAGID: An Automated Pipeline for Generating Synthetic Multi-modal Datasets

Paper • 2403.03194 • Published Mar 5, 2024 • 15
Finetuned Multimodal Language Models Are High-Quality Image-Text Data Filters

Paper • 2403.02677 • Published Mar 5, 2024 • 18

AI Paper of the Day

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

Can Large Language Models Understand Context?

Paper • 2402.00858 • Published Feb 1, 2024 • 23
OLMo: Accelerating the Science of Language Models

Paper • 2402.00838 • Published Feb 1, 2024 • 85
Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18, 2024 • 151
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity

Paper • 2401.17072 • Published Jan 30, 2024 • 25

LLaMA Beyond English: An Empirical Study on Language Capability Transfer

Paper • 2401.01055 • Published Jan 2, 2024 • 55
Improving Text Embeddings with Large Language Models

Paper • 2401.00368 • Published Dec 31, 2023 • 82
HyperLLaVA: Dynamic Visual and Language Expert Tuning for Multimodal Large Language Models

Paper • 2403.13447 • Published Mar 20, 2024 • 19
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Paper • 2403.05530 • Published Mar 8, 2024 • 65

PRDP: Proximal Reward Difference Prediction for Large-Scale Reward Finetuning of Diffusion Models

Paper • 2402.08714 • Published Feb 13, 2024 • 15
Data Engineering for Scaling Language Models to 128K Context

Paper • 2402.10171 • Published Feb 15, 2024 • 25
RLVF: Learning from Verbal Feedback without Overgeneralization

Paper • 2402.10893 • Published Feb 16, 2024 • 12
Coercing LLMs to do and reveal (almost) anything

Paper • 2402.14020 • Published Feb 21, 2024 • 13

Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18, 2024 • 151
ReFT: Reasoning with Reinforced Fine-Tuning

Paper • 2401.08967 • Published Jan 17, 2024 • 31
Tuning Language Models by Proxy

Paper • 2401.08565 • Published Jan 16, 2024 • 22
TrustLLM: Trustworthiness in Large Language Models

Paper • 2401.05561 • Published Jan 10, 2024 • 69

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