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Collections including paper arxiv:1810.04805

Most influential papers in AI

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 49
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 16
Universal Language Model Fine-tuning for Text Classification

Paper • 1801.06146 • Published Jan 18, 2018 • 6
Language Models are Few-Shot Learners

Paper • 2005.14165 • Published May 28, 2020 • 12

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Anychat
Running

248

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Qwen2.5 Coder Artifacts
Running

830

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12.1k

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Open LLM Leaderboard

Track, rank and evaluate open LLMs and chatbots

CLEAR: Character Unlearning in Textual and Visual Modalities

Paper • 2410.18057 • Published Oct 23, 2024 • 200
CORAL: Benchmarking Multi-turn Conversational Retrieval-Augmentation Generation

Paper • 2410.23090 • Published Oct 30, 2024 • 54
What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient Perspective

Paper • 2410.23743 • Published Oct 31, 2024 • 59
"Give Me BF16 or Give Me Death"? Accuracy-Performance Trade-Offs in LLM Quantization

Paper • 2411.02355 • Published Nov 4, 2024 • 46

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 49
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 • 16
Language Models are Few-Shot Learners

Paper • 2005.14165 • Published May 28, 2020 • 12

This is information about BERT

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

Paper • 1810.04805 • Published Oct 11, 2018 • 16
jjzha/skillspan

Viewer • Updated Sep 7, 2023 • 11.5k • 209

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

Paper • 1810.04805 • Published Oct 11, 2018 • 16

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 49
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, 2024 • 17
MoMa: Efficient Early-Fusion Pre-training with Mixture of Modality-Aware Experts

Paper • 2407.21770 • Published Jul 31, 2024 • 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 • 15
Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 49
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 16
Jamba: A Hybrid Transformer-Mamba Language Model

Paper • 2403.19887 • Published Mar 28, 2024 • 104

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 49
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 16
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 • 12

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

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