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Collections including paper arxiv:1706.03762

It is a collection of papers that are useful in studying LLM.

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 61
LoRA: Low-Rank Adaptation of Large Language Models

Paper • 2106.09685 • Published Jun 17, 2021 • 39
Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Paper • 2305.18290 • Published May 29, 2023 • 58
Lost in the Middle: How Language Models Use Long Contexts

Paper • 2307.03172 • Published Jul 6, 2023 • 40

Agents: An Open-source Framework for Autonomous Language Agents

Paper • 2309.07870 • Published Sep 14, 2023 • 42
Language Agents with Reinforcement Learning for Strategic Play in the Werewolf Game

Paper • 2310.18940 • Published Oct 29, 2023
Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems

Paper • 2504.01990 • Published Mar 31 • 275
AutoWebGLM: Bootstrap And Reinforce A Large Language Model-based Web Navigating Agent

Paper • 2404.03648 • Published Apr 4, 2024 • 29

ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent

Paper • 2312.10003 • Published Dec 15, 2023 • 42
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Paper • 2005.11401 • Published May 22, 2020 • 11
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Paper • 2201.11903 • Published Jan 28, 2022 • 13
Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 61

Round and Round We Go! What makes Rotary Positional Encodings useful?

Paper • 2410.06205 • Published Oct 8, 2024 • 2
RoFormer: Enhanced Transformer with Rotary Position Embedding

Paper • 2104.09864 • Published Apr 20, 2021 • 13
Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 61

beginner-papers

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 61

A collection of arXiv papers from Chip Huyen's AI Engineering organized by chapter and ordered by when each appears in the book.

Will we run out of data? An analysis of the limits of scaling datasets in Machine Learning

Paper • 2211.04325 • Published Oct 26, 2022
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 18
On the Opportunities and Risks of Foundation Models

Paper • 2108.07258 • Published Aug 16, 2021
Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks

Paper • 2204.07705 • Published Apr 16, 2022 • 1

Papers I Have Read

A list of papers that have moved off my reading list

Navigating Dataset Documentations in AI: A Large-Scale Analysis of Dataset Cards on Hugging Face

Paper • 2401.13822 • Published Jan 24, 2024 • 1
Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 61
HuggingFace's Transformers: State-of-the-art Natural Language Processing

Paper • 1910.03771 • Published Oct 9, 2019 • 19
Model Cards for Model Reporting

Paper • 1810.03993 • Published Oct 5, 2018 • 5

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 61

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 61
Rainbow: Combining Improvements in Deep Reinforcement Learning

Paper • 1710.02298 • Published Oct 6, 2017

sentence-transformers/all-mpnet-base-v2

Sentence Similarity • Updated Mar 6 • 19M • • 1.06k
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Paper • 1910.10683 • Published Oct 23, 2019 • 13
google-t5/t5-base

Translation • Updated Feb 14, 2024 • 4.34M • • 708
Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 61

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