Collection by
May 23, 2024
May 23, 2024Collections
Discover the best community collections!
Collections including paper arxiv:2404.05961
Collection by
Apr 12, 2024
Apr 12, 2024Collection by
Apr 11, 2024
Apr 11, 2024Collection by
Apr 25, 2024
Apr 25, 2024-
LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders
Paper • 2404.05961 • Published • 66 -
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 • 29 -
Pre-training Small Base LMs with Fewer Tokens
Paper • 2404.08634 • Published • 35
Collection by
Apr 10, 2024
Apr 10, 2024-
LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders
Paper • 2404.05961 • Published • 66 -
Ferret-UI: Grounded Mobile UI Understanding with Multimodal LLMs
Paper • 2404.05719 • Published • 83 -
CodeEditorBench: Evaluating Code Editing Capability of Large Language Models
Paper • 2404.03543 • Published • 18 -
Are large language models superhuman chemists?
Paper • 2404.01475 • Published • 19
Collection by
Apr 13, 2024
Apr 13, 2024Collection by
May 21, 2024
May 21, 2024-
A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity
Paper • 2401.01967 • Published -
Secrets of RLHF in Large Language Models Part I: PPO
Paper • 2307.04964 • Published • 29 -
Zephyr: Direct Distillation of LM Alignment
Paper • 2310.16944 • Published • 122 -
LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders
Paper • 2404.05961 • Published • 66
Collection by
Apr 11, 2024
Apr 11, 2024Collection by
Apr 11, 2024
Apr 11, 2024-
LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders
Paper • 2404.05961 • Published • 66 -
OmniFusion Technical Report
Paper • 2404.06212 • Published • 77 -
Adapting LLaMA Decoder to Vision Transformer
Paper • 2404.06773 • Published • 18 -
BRAVE: Broadening the visual encoding of vision-language models
Paper • 2404.07204 • Published • 19
Collection by
8 days ago
8 days ago-
McGill-NLP/LLM2Vec-Meta-Llama-32-3B-Instruct-mntp-supervised
Updated -
McGill-NLP/LLM2Vec-Meta-Llama-31-8B-Instruct-mntp-supervised
Sentence Similarity • Updated • 88 • 4 -
McGill-NLP/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-supervised
Sentence Similarity • Updated • 11.5k • 50 -
McGill-NLP/LLM2Vec-Mistral-7B-Instruct-v2-mntp-supervised
Sentence Similarity • Updated • 254 • 13
Collection by
May 23, 2024
May 23, 2024Collection by
Apr 13, 2024
Apr 13, 2024Collection by
Apr 12, 2024
Apr 12, 2024Collection by
May 21, 2024
May 21, 2024-
A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity
Paper • 2401.01967 • Published -
Secrets of RLHF in Large Language Models Part I: PPO
Paper • 2307.04964 • Published • 29 -
Zephyr: Direct Distillation of LM Alignment
Paper • 2310.16944 • Published • 122 -
LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders
Paper • 2404.05961 • Published • 66
Collection by
Apr 11, 2024
Apr 11, 2024Collection by
Apr 11, 2024
Apr 11, 2024Collection by
Apr 25, 2024
Apr 25, 2024-
LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders
Paper • 2404.05961 • Published • 66 -
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 • 29 -
Pre-training Small Base LMs with Fewer Tokens
Paper • 2404.08634 • Published • 35
Collection by
Apr 11, 2024
Apr 11, 2024-
LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders
Paper • 2404.05961 • Published • 66 -
OmniFusion Technical Report
Paper • 2404.06212 • Published • 77 -
Adapting LLaMA Decoder to Vision Transformer
Paper • 2404.06773 • Published • 18 -
BRAVE: Broadening the visual encoding of vision-language models
Paper • 2404.07204 • Published • 19
Collection by
Apr 10, 2024
Apr 10, 2024-
LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders
Paper • 2404.05961 • Published • 66 -
Ferret-UI: Grounded Mobile UI Understanding with Multimodal LLMs
Paper • 2404.05719 • Published • 83 -
CodeEditorBench: Evaluating Code Editing Capability of Large Language Models
Paper • 2404.03543 • Published • 18 -
Are large language models superhuman chemists?
Paper • 2404.01475 • Published • 19
Collection by
8 days ago
8 days ago-
McGill-NLP/LLM2Vec-Meta-Llama-32-3B-Instruct-mntp-supervised
Updated -
McGill-NLP/LLM2Vec-Meta-Llama-31-8B-Instruct-mntp-supervised
Sentence Similarity • Updated • 88 • 4 -
McGill-NLP/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-supervised
Sentence Similarity • Updated • 11.5k • 50 -
McGill-NLP/LLM2Vec-Mistral-7B-Instruct-v2-mntp-supervised
Sentence Similarity • Updated • 254 • 13