Models
Datasets
Spaces
Docs
Enterprise
Pricing
Log In
Sign Up

Collections

Discover the best community collections!

Collections including paper arxiv:2405.15793

Fine-Tuning Language Models from Human Preferences

Paper • 1909.08593 • Published Sep 18, 2019 • 3
PromptCoT: Synthesizing Olympiad-level Problems for Mathematical Reasoning in Large Language Models

Paper • 2503.02324 • Published Mar 4
How Difficulty-Aware Staged Reinforcement Learning Enhances LLMs' Reasoning Capabilities: A Preliminary Experimental Study

Paper • 2504.00829 • Published Apr 1
GPG: A Simple and Strong Reinforcement Learning Baseline for Model Reasoning

Paper • 2504.02546 • Published Apr 3 • 1

Executable Code Actions Elicit Better LLM Agents

Paper • 2402.01030 • Published Feb 1, 2024 • 160
ReAct: Synergizing Reasoning and Acting in Language Models

Paper • 2210.03629 • Published Oct 6, 2022 • 27
SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering

Paper • 2405.15793 • Published May 6, 2024 • 6
DevBench: A Comprehensive Benchmark for Software Development

Paper • 2403.08604 • Published Mar 13, 2024 • 2

Papers - Coding - Agent

SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering

Paper • 2405.15793 • Published May 6, 2024 • 6

Papers - Coding - Building Using Multi-shot Prompts

Is Programming by Example solved by LLMs?

Paper • 2406.08316 • Published Jun 12, 2024 • 13
SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering

Paper • 2405.15793 • Published May 6, 2024 • 6

machine learning and neural network papers 📜

SMOTE: Synthetic Minority Over-sampling Technique

Paper • 1106.1813 • Published Jun 9, 2011 • 1
Scikit-learn: Machine Learning in Python

Paper • 1201.0490 • Published Jan 2, 2012 • 1
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

Paper • 1406.1078 • Published Jun 3, 2014
Distributed Representations of Sentences and Documents

Paper • 1405.4053 • Published May 16, 2014

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 • 19
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 - Coding - Agent - Arch - Multi-Turn Learning

SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering

Paper • 2405.15793 • Published May 6, 2024 • 6

Papers I've read

Chain-of-Thought Reasoning Without Prompting

Paper • 2402.10200 • Published Feb 15, 2024 • 110
Large Language Models Cannot Self-Correct Reasoning Yet

Paper • 2310.01798 • Published Oct 3, 2023 • 36
Premise Order Matters in Reasoning with Large Language Models

Paper • 2402.08939 • Published Feb 14, 2024 • 29
Chain of Thought Empowers Transformers to Solve Inherently Serial Problems

Paper • 2402.12875 • Published Feb 20, 2024 • 13

Papers - Coding

CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Paper • 2002.08155 • Published Feb 19, 2020 • 2
OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement

Paper • 2402.14658 • Published Feb 22, 2024 • 84
CodeFusion: A Pre-trained Diffusion Model for Code Generation

Paper • 2310.17680 • Published Oct 26, 2023 • 73
CodePlan: Repository-level Coding using LLMs and Planning

Paper • 2309.12499 • Published Sep 21, 2023 • 78

Fine-Tuning Language Models from Human Preferences

Paper • 1909.08593 • Published Sep 18, 2019 • 3
PromptCoT: Synthesizing Olympiad-level Problems for Mathematical Reasoning in Large Language Models

Paper • 2503.02324 • Published Mar 4
How Difficulty-Aware Staged Reinforcement Learning Enhances LLMs' Reasoning Capabilities: A Preliminary Experimental Study

Paper • 2504.00829 • Published Apr 1
GPG: A Simple and Strong Reinforcement Learning Baseline for Model Reasoning

Paper • 2504.02546 • Published Apr 3 • 1

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 • 19
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

Executable Code Actions Elicit Better LLM Agents

Paper • 2402.01030 • Published Feb 1, 2024 • 160
ReAct: Synergizing Reasoning and Acting in Language Models

Paper • 2210.03629 • Published Oct 6, 2022 • 27
SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering

Paper • 2405.15793 • Published May 6, 2024 • 6
DevBench: A Comprehensive Benchmark for Software Development

Paper • 2403.08604 • Published Mar 13, 2024 • 2

Papers - Coding - Agent - Arch - Multi-Turn Learning

SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering

Paper • 2405.15793 • Published May 6, 2024 • 6

Papers - Coding - Agent

SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering

Paper • 2405.15793 • Published May 6, 2024 • 6

Papers I've read

Chain-of-Thought Reasoning Without Prompting

Paper • 2402.10200 • Published Feb 15, 2024 • 110
Large Language Models Cannot Self-Correct Reasoning Yet

Paper • 2310.01798 • Published Oct 3, 2023 • 36
Premise Order Matters in Reasoning with Large Language Models

Paper • 2402.08939 • Published Feb 14, 2024 • 29
Chain of Thought Empowers Transformers to Solve Inherently Serial Problems

Paper • 2402.12875 • Published Feb 20, 2024 • 13

Papers - Coding - Building Using Multi-shot Prompts

Is Programming by Example solved by LLMs?

Paper • 2406.08316 • Published Jun 12, 2024 • 13
SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering

Paper • 2405.15793 • Published May 6, 2024 • 6

Papers - Coding

CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Paper • 2002.08155 • Published Feb 19, 2020 • 2
OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement

Paper • 2402.14658 • Published Feb 22, 2024 • 84
CodeFusion: A Pre-trained Diffusion Model for Code Generation

Paper • 2310.17680 • Published Oct 26, 2023 • 73
CodePlan: Repository-level Coding using LLMs and Planning

Paper • 2309.12499 • Published Sep 21, 2023 • 78

machine learning and neural network papers 📜

SMOTE: Synthetic Minority Over-sampling Technique

Paper • 1106.1813 • Published Jun 9, 2011 • 1
Scikit-learn: Machine Learning in Python

Paper • 1201.0490 • Published Jan 2, 2012 • 1
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

Paper • 1406.1078 • Published Jun 3, 2014
Distributed Representations of Sentences and Documents

Paper • 1405.4053 • Published May 16, 2014

Company

TOS Privacy About Jobs

Website

Models Datasets Spaces Pricing Docs