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Collections including paper arxiv:2403.07750

Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18 • 144
Orion-14B: Open-source Multilingual Large Language Models

Paper • 2401.12246 • Published Jan 20 • 12
MambaByte: Token-free Selective State Space Model

Paper • 2401.13660 • Published Jan 24 • 51
MM-LLMs: Recent Advances in MultiModal Large Language Models

Paper • 2401.13601 • Published Jan 24 • 45

Token Compression

LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Paper • 2403.12968 • Published Mar 19 • 24
Synth^2: Boosting Visual-Language Models with Synthetic Captions and Image Embeddings

Paper • 2403.07750 • Published Mar 12 • 21

Synth^2: Boosting Visual-Language Models with Synthetic Captions and Image Embeddings

Paper • 2403.07750 • Published Mar 12 • 21

Papers - Image - Synthetic Data Generator

Synth^2: Boosting Visual-Language Models with Synthetic Captions and Image Embeddings

Paper • 2403.07750 • Published Mar 12 • 21
Gaussian Frosting: Editable Complex Radiance Fields with Real-Time Rendering

Paper • 2403.14554 • Published Mar 21 • 12
ObjectDrop: Bootstrapping Counterfactuals for Photorealistic Object Removal and Insertion

Paper • 2403.18818 • Published Mar 27 • 25

Papers - Image - Caption Generation

Unified Vision-Language Pre-Training for Image Captioning and VQA

Paper • 1909.11059 • Published Sep 24, 2019 • 2
Synth^2: Boosting Visual-Language Models with Synthetic Captions and Image Embeddings

Paper • 2403.07750 • Published Mar 12 • 21

Beyond Language Models: Byte Models are Digital World Simulators

Paper • 2402.19155 • Published Feb 29 • 49
Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models

Paper • 2402.19427 • Published Feb 29 • 52
VisionLLaMA: A Unified LLaMA Interface for Vision Tasks

Paper • 2403.00522 • Published Mar 1 • 44
Resonance RoPE: Improving Context Length Generalization of Large Language Models

Paper • 2403.00071 • Published Feb 29 • 22

applicable to dryft

The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits

Paper • 2402.17764 • Published Feb 27 • 602
MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases

Paper • 2402.14905 • Published Feb 22 • 126
YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

Paper • 2402.13616 • Published Feb 21 • 45
Panda-70M: Captioning 70M Videos with Multiple Cross-Modality Teachers

Paper • 2402.19479 • Published Feb 29 • 32

about 21 hours ago

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

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 • 21
OLMo: Accelerating the Science of Language Models

Paper • 2402.00838 • Published Feb 1 • 80
Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18 • 144
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity

Paper • 2401.17072 • Published Jan 30 • 25

Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation

Paper • 2401.08417 • Published Jan 16 • 33
PIXART-δ: Fast and Controllable Image Generation with Latent Consistency Models

Paper • 2401.05252 • Published Jan 10 • 47
BiLLM: Pushing the Limit of Post-Training Quantization for LLMs

Paper • 2402.04291 • Published Feb 6 • 48
FiT: Flexible Vision Transformer for Diffusion Model

Paper • 2402.12376 • Published Feb 19 • 48

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