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Collections including paper arxiv:2405.17428

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

Paper • 2402.04252 • Published Feb 6 • 21
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6 • 9
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7 • 33
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7 • 19

NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models

Paper • 2405.17428 • Published May 27 • 14

Text Embeddings

This collection will consist of articles on text embeddings. In the future, it will be updated with new approaches.

Improving Text Embeddings with Large Language Models

Paper • 2401.00368 • Published Dec 31, 2023 • 77
Piccolo2: General Text Embedding with Multi-task Hybrid Loss Training

Paper • 2405.06932 • Published May 11 • 15
Gecko: Versatile Text Embeddings Distilled from Large Language Models

Paper • 2403.20327 • Published Mar 29 • 47
Multilingual E5 Text Embeddings: A Technical Report

Paper • 2402.05672 • Published Feb 8 • 16

Prompt Cache: Modular Attention Reuse for Low-Latency Inference

Paper • 2311.04934 • Published Nov 7, 2023 • 23
I2VEdit: First-Frame-Guided Video Editing via Image-to-Video Diffusion Models

Paper • 2405.16537 • Published May 26 • 15
NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models

Paper • 2405.17428 • Published May 27 • 14

OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement

Paper • 2402.14658 • Published Feb 22 • 78
KAN: Kolmogorov-Arnold Networks

Paper • 2404.19756 • Published Apr 30 • 102
Understanding the performance gap between online and offline alignment algorithms

Paper • 2405.08448 • Published May 14 • 13
NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models

Paper • 2405.17428 • Published May 27 • 14

BitDelta: Your Fine-Tune May Only Be Worth One Bit

Paper • 2402.10193 • Published Feb 15 • 17
StructLM: Towards Building Generalist Models for Structured Knowledge Grounding

Paper • 2402.16671 • Published Feb 26 • 26
LoRA Learns Less and Forgets Less

Paper • 2405.09673 • Published May 15 • 81
NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models

Paper • 2405.17428 • Published May 27 • 14

Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18 • 136
Orion-14B: Open-source Multilingual Large Language Models

Paper • 2401.12246 • Published Jan 20 • 10
MambaByte: Token-free Selective State Space Model

Paper • 2401.13660 • Published Jan 24 • 47
MM-LLMs: Recent Advances in MultiModal Large Language Models

Paper • 2401.13601 • Published Jan 24 • 41

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