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Collections including paper arxiv:2005.14165

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 • 17
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

Most influential papers in AI

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 55
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 17
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 • 13

Papers (I want) To Read

A list of papers on my reading list.

Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models

Paper • 2304.09842 • Published Apr 19, 2023 • 1
ReAct: Synergizing Reasoning and Acting in Language Models

Paper • 2210.03629 • Published Oct 6, 2022 • 24
Gorilla: Large Language Model Connected with Massive APIs

Paper • 2305.15334 • Published May 24, 2023 • 5
Reflexion: Language Agents with Verbal Reinforcement Learning

Paper • 2303.11366 • Published Mar 20, 2023 • 5

Language Models are Few-Shot Learners

Paper • 2005.14165 • Published May 28, 2020 • 13

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 55
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 • 17
Language Models are Few-Shot Learners

Paper • 2005.14165 • Published May 28, 2020 • 13

LLM Post Training

Instruction Tuning for Large Language Models: A Survey

Paper • 2308.10792 • Published Aug 21, 2023 • 1
Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey

Paper • 2403.14608 • Published Mar 21, 2024
Efficient Large Language Models: A Survey

Paper • 2312.03863 • Published Dec 6, 2023 • 3
ReFT: Reasoning with Reinforced Fine-Tuning

Paper • 2401.08967 • Published Jan 17, 2024 • 30

LLM Tech Report

Qwen2.5 Technical Report

Paper • 2412.15115 • Published Dec 19, 2024 • 352
Qwen2.5-Coder Technical Report

Paper • 2409.12186 • Published Sep 18, 2024 • 141
Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement

Paper • 2409.12122 • Published Sep 18, 2024 • 3
Qwen2.5-VL Technical Report

Paper • 2502.13923 • Published 23 days ago • 164

SciLitLLM: How to Adapt LLMs for Scientific Literature Understanding

Paper • 2408.15545 • Published Aug 28, 2024 • 35
Controllable Text Generation for Large Language Models: A Survey

Paper • 2408.12599 • Published Aug 22, 2024 • 65
To Code, or Not To Code? Exploring Impact of Code in Pre-training

Paper • 2408.10914 • Published Aug 20, 2024 • 42
Automated Design of Agentic Systems

Paper • 2408.08435 • Published Aug 15, 2024 • 39

LLM Fundamental papers

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 55
Language Models are Few-Shot Learners

Paper • 2005.14165 • Published May 28, 2020 • 13
GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints

Paper • 2305.13245 • Published May 22, 2023 • 5
Llama 2: Open Foundation and Fine-Tuned Chat Models

Paper • 2307.09288 • Published Jul 18, 2023 • 244

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 55
LLaMA: Open and Efficient Foundation Language Models

Paper • 2302.13971 • Published Feb 27, 2023 • 14
Efficient Tool Use with Chain-of-Abstraction Reasoning

Paper • 2401.17464 • Published Jan 30, 2024 • 20
MoMa: Efficient Early-Fusion Pre-training with Mixture of Modality-Aware Experts

Paper • 2407.21770 • Published Jul 31, 2024 • 22

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