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Collections including paper arxiv:1810.04805

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 44
Playing Atari with Deep Reinforcement Learning

Paper • 1312.5602 • Published Dec 19, 2013
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 14
Language Models are Few-Shot Learners

Paper • 2005.14165 • Published May 28, 2020 • 11

This is information about BERT

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 14
jjzha/skillspan

Viewer • Updated Sep 7, 2023 • 11.5k • 84

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 14

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 44
LLaMA: Open and Efficient Foundation Language Models

Paper • 2302.13971 • Published Feb 27, 2023 • 13
Efficient Tool Use with Chain-of-Abstraction Reasoning

Paper • 2401.17464 • Published Jan 30 • 16
MoMa: Efficient Early-Fusion Pre-training with Mixture of Modality-Aware Experts

Paper • 2407.21770 • Published Jul 31 • 22

Must-read Papers

Some of the most important and insightful (in my opinion) AI papers of today, with a focus on NLP and LLMs.

ReAct: Synergizing Reasoning and Acting in Language Models

Paper • 2210.03629 • Published Oct 6, 2022 • 14
Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 44
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 14
Jamba: A Hybrid Transformer-Mamba Language Model

Paper • 2403.19887 • Published Mar 28 • 104

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 44
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 14
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Paper • 1910.01108 • Published Oct 2, 2019 • 14
Language Models are Few-Shot Learners

Paper • 2005.14165 • Published May 28, 2020 • 11

Fundamentals NLP

Distributed Representations of Sentences and Documents

Paper • 1405.4053 • Published May 16, 2014
Sequence to Sequence Learning with Neural Networks

Paper • 1409.3215 • Published Sep 10, 2014 • 3
PaLM: Scaling Language Modeling with Pathways

Paper • 2204.02311 • Published Apr 5, 2022 • 2
Recent Trends in Deep Learning Based Natural Language Processing

Paper • 1708.02709 • Published Aug 9, 2017

Must Reads On Language Model

Dive into the world of generative AI with some prominent papers of Language Model, unlocking the secrets of natural language processing.

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 14
RoBERTa: A Robustly Optimized BERT Pretraining Approach

Paper • 1907.11692 • Published Jul 26, 2019 • 7
Language Models are Few-Shot Learners

Paper • 2005.14165 • Published May 28, 2020 • 11
OPT: Open Pre-trained Transformer Language Models

Paper • 2205.01068 • Published May 2, 2022 • 2

Research Papers

Research papers related to NLP.

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 44
Self-Attention with Relative Position Representations

Paper • 1803.02155 • Published Mar 6, 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 14
Meta-Prompting: Enhancing Language Models with Task-Agnostic Scaffolding

Paper • 2401.12954 • Published Jan 23 • 28

Papers - Text - Decoders

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 14
Transformers Can Achieve Length Generalization But Not Robustly

Paper • 2402.09371 • Published Feb 14 • 12
A Thorough Examination of Decoding Methods in the Era of LLMs

Paper • 2402.06925 • Published Feb 10 • 1

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