Collection by 
Apr 11, 2024
Collections
Discover the best community collections!
Collections trending this week
Collection by 
Apr 11, 2024
Collection by 
May 6, 2025
-
parler-tts/parler_tts_mini_v0.1
Text-to-Speech • 0.6B • Updated • 2.69k • 358 -
SpeechGuard: Exploring the Adversarial Robustness of Multimodal Large Language Models
Paper • 2405.08317 • Published • 13 -
Zipper: A Multi-Tower Decoder Architecture for Fusing Modalities
Paper • 2405.18669 • Published • 12 -
Seed-TTS: A Family of High-Quality Versatile Speech Generation Models
Paper • 2406.02430 • Published • 40
Collection by 
Apr 11, 2024
Collection by 
Apr 25, 2024
-
LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders
Paper • 2404.05961 • Published • 67 -
Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention
Paper • 2404.07143 • Published • 111 -
Scaling (Down) CLIP: A Comprehensive Analysis of Data, Architecture, and Training Strategies
Paper • 2404.08197 • Published • 30 -
Pre-training Small Base LMs with Fewer Tokens
Paper • 2404.08634 • Published • 36
Collection by Apr 11, 2024
Collection by 
Apr 11, 2024
Collection by Apr 11, 2024
Collection by 
Apr 11, 2024
Collection by May 6, 2025
-
parler-tts/parler_tts_mini_v0.1
Text-to-Speech • 0.6B • Updated • 2.69k • 358 -
SpeechGuard: Exploring the Adversarial Robustness of Multimodal Large Language Models
Paper • 2405.08317 • Published • 13 -
Zipper: A Multi-Tower Decoder Architecture for Fusing Modalities
Paper • 2405.18669 • Published • 12 -
Seed-TTS: A Family of High-Quality Versatile Speech Generation Models
Paper • 2406.02430 • Published • 40
Collection by 
Apr 11, 2024
Collection by Apr 11, 2024
Collection by 
Apr 11, 2024
Collection by Apr 25, 2024
-
LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders
Paper • 2404.05961 • Published • 67 -
Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention
Paper • 2404.07143 • Published • 111 -
Scaling (Down) CLIP: A Comprehensive Analysis of Data, Architecture, and Training Strategies
Paper • 2404.08197 • Published • 30 -
Pre-training Small Base LMs with Fewer Tokens
Paper • 2404.08634 • Published • 36
Collection by 
Apr 11, 2024