Collection by
Mar 30, 2025
Collections
Discover the best community collections!
Collections including paper arxiv:2405.17428
Collection by
Jun 6, 2025
-
Improving Text Embeddings with Large Language Models
Paper • 2401.00368 • Published • 82 -
Piccolo2: General Text Embedding with Multi-task Hybrid Loss Training
Paper • 2405.06932 • Published • 20 -
Gecko: Versatile Text Embeddings Distilled from Large Language Models
Paper • 2403.20327 • Published • 48 -
Multilingual E5 Text Embeddings: A Technical Report
Paper • 2402.05672 • Published • 22
Collection by
Sep 16, 2025
-
BitDelta: Your Fine-Tune May Only Be Worth One Bit
Paper • 2402.10193 • Published • 21 -
StructLM: Towards Building Generalist Models for Structured Knowledge Grounding
Paper • 2402.16671 • Published • 27 -
LoRA Learns Less and Forgets Less
Paper • 2405.09673 • Published • 90 -
NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models
Paper • 2405.17428 • Published • 19
Collection by
12 days ago
-
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 151 -
Orion-14B: Open-source Multilingual Large Language Models
Paper • 2401.12246 • Published • 14 -
MambaByte: Token-free Selective State Space Model
Paper • 2401.13660 • Published • 60 -
MM-LLMs: Recent Advances in MultiModal Large Language Models
Paper • 2401.13601 • Published • 48
Collection by
Oct 19, 2025
-
Attention Is All You Need
Paper • 1706.03762 • Published • 108 -
LLaMA: Open and Efficient Foundation Language Models
Paper • 2302.13971 • Published • 20 -
Efficient Tool Use with Chain-of-Abstraction Reasoning
Paper • 2401.17464 • Published • 21 -
MoMa: Efficient Early-Fusion Pre-training with Mixture of Modality-Aware Experts
Paper • 2407.21770 • Published • 22
Collection by
May 30, 2024
-
Prompt Cache: Modular Attention Reuse for Low-Latency Inference
Paper • 2311.04934 • Published • 32 -
I2VEdit: First-Frame-Guided Video Editing via Image-to-Video Diffusion Models
Paper • 2405.16537 • Published • 17 -
NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models
Paper • 2405.17428 • Published • 19
Collection by
14 days ago
-
EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 29 -
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models
Paper • 2402.03749 • Published • 14 -
ScreenAI: A Vision-Language Model for UI and Infographics Understanding
Paper • 2402.04615 • Published • 44 -
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss
Paper • 2402.05008 • Published • 23
Collection by
Mar 30, 2025
Collection by
Oct 19, 2025
-
Attention Is All You Need
Paper • 1706.03762 • Published • 108 -
LLaMA: Open and Efficient Foundation Language Models
Paper • 2302.13971 • Published • 20 -
Efficient Tool Use with Chain-of-Abstraction Reasoning
Paper • 2401.17464 • Published • 21 -
MoMa: Efficient Early-Fusion Pre-training with Mixture of Modality-Aware Experts
Paper • 2407.21770 • Published • 22
Collection by
Jun 6, 2025
-
Improving Text Embeddings with Large Language Models
Paper • 2401.00368 • Published • 82 -
Piccolo2: General Text Embedding with Multi-task Hybrid Loss Training
Paper • 2405.06932 • Published • 20 -
Gecko: Versatile Text Embeddings Distilled from Large Language Models
Paper • 2403.20327 • Published • 48 -
Multilingual E5 Text Embeddings: A Technical Report
Paper • 2402.05672 • Published • 22
Collection by
May 30, 2024
-
Prompt Cache: Modular Attention Reuse for Low-Latency Inference
Paper • 2311.04934 • Published • 32 -
I2VEdit: First-Frame-Guided Video Editing via Image-to-Video Diffusion Models
Paper • 2405.16537 • Published • 17 -
NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models
Paper • 2405.17428 • Published • 19
Collection by
Sep 16, 2025
-
BitDelta: Your Fine-Tune May Only Be Worth One Bit
Paper • 2402.10193 • Published • 21 -
StructLM: Towards Building Generalist Models for Structured Knowledge Grounding
Paper • 2402.16671 • Published • 27 -
LoRA Learns Less and Forgets Less
Paper • 2405.09673 • Published • 90 -
NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models
Paper • 2405.17428 • Published • 19
Collection by
14 days ago
-
EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 29 -
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models
Paper • 2402.03749 • Published • 14 -
ScreenAI: A Vision-Language Model for UI and Infographics Understanding
Paper • 2402.04615 • Published • 44 -
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss
Paper • 2402.05008 • Published • 23
Collection by
12 days ago
-
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 151 -
Orion-14B: Open-source Multilingual Large Language Models
Paper • 2401.12246 • Published • 14 -
MambaByte: Token-free Selective State Space Model
Paper • 2401.13660 • Published • 60 -
MM-LLMs: Recent Advances in MultiModal Large Language Models
Paper • 2401.13601 • Published • 48