Models
Datasets
Spaces
Docs
Enterprise
Pricing
Log In
Sign Up

Collections

Discover the best community collections!

Collections including paper arxiv:2406.06608

arXiv-Papers referenced in Paper arxiv:2601.08302

This collection contains all arXiv-Papers referenced in paper https://huggingface.co/papers/2601.08302

On Prompt Sensitivity of ChatGPT in Affective Computing

Paper • 2403.14006 • Published Mar 20, 2024
Unleashing the potential of prompt engineering in Large Language Models: a comprehensive review

Paper • 2310.14735 • Published Oct 23, 2023
Fine-tuning multilingual language models in Twitter/X sentiment analysis: a study on Eastern-European V4 languages

Paper • 2408.02044 • Published Aug 4, 2024
Transformers Learn to Implement Multi-step Gradient Descent with Chain of Thought

Paper • 2502.21212 • Published Feb 28, 2025

Inverse Reinforcement Learning Meets Large Language Model Post-Training: Basics, Advances, and Opportunities

Paper • 2507.13158 • Published Jul 17, 2025 • 24
DrafterBench: Benchmarking Large Language Models for Tasks Automation in Civil Engineering

Paper • 2507.11527 • Published Jul 15, 2025 • 35
Promptomatix: An Automatic Prompt Optimization Framework for Large Language Models

Paper • 2507.14241 • Published Jul 17, 2025 • 18
The Prompt Report: A Systematic Survey of Prompting Techniques

Paper • 2406.06608 • Published Jun 6, 2024 • 68

The Prompt Report: A Systematic Survey of Prompting Techniques

Paper • 2406.06608 • Published Jun 6, 2024 • 68

Learn Prompting Research Papers

The Prompt Report: A Systematic Survey of Prompting Techniques

Paper • 2406.06608 • Published Jun 6, 2024 • 68
Ignore This Title and HackAPrompt: Exposing Systemic Vulnerabilities of LLMs through a Global Scale Prompt Hacking Competition

Paper • 2311.16119 • Published Oct 24, 2023 • 2

The Prompt Report: A Systematic Survey of Prompting Techniques

Paper • 2406.06608 • Published Jun 6, 2024 • 68

Language Models are Few-Shot Learners

Paper • 2005.14165 • Published May 28, 2020 • 19
Large Language Models Are Human-Level Prompt Engineers

Paper • 2211.01910 • Published Nov 3, 2022 • 1
Lost in the Middle: How Language Models Use Long Contexts

Paper • 2307.03172 • Published Jul 6, 2023 • 43
Large Language Models are Zero-Shot Reasoners

Paper • 2205.11916 • Published May 24, 2022 • 3

Context Engineering

A Survey of Context Engineering for Large Language Models

Paper • 2507.13334 • Published Jul 17, 2025 • 261
Large Language Models for Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering

Paper • 2305.03403 • Published May 5, 2023 • 2
The Prompt Report: A Systematic Survey of Prompting Techniques

Paper • 2406.06608 • Published Jun 6, 2024 • 68
A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications

Paper • 2402.07927 • Published Feb 5, 2024 • 2

Prompt Engineering a Prompt Engineer

Paper • 2311.05661 • Published Nov 9, 2023 • 23
A Survey of Prompt Engineering Methods in Large Language Models for Different NLP Tasks

Paper • 2407.12994 • Published Jul 17, 2024
Unleashing the potential of prompt engineering in Large Language Models: a comprehensive review

Paper • 2310.14735 • Published Oct 23, 2023
Prompt Design and Engineering: Introduction and Advanced Methods

Paper • 2401.14423 • Published Jan 24, 2024 • 1

Prompt Engineering

The Prompt Report: A Systematic Survey of Prompting Techniques

Paper • 2406.06608 • Published Jun 6, 2024 • 68
PromptSystematicReview/ThePromptReport

Viewer • Updated Jun 14, 2024 • 83 • 1.42k • 46

Papers - Intro, Review, Survey

Language Models: A Guide for the Perplexed

Paper • 2311.17301 • Published Nov 29, 2023
The Prompt Report: A Systematic Survey of Prompting Techniques

Paper • 2406.06608 • Published Jun 6, 2024 • 68
Reinforcement Learning: An Overview

Paper • 2412.05265 • Published Dec 6, 2024 • 8
A Primer on Large Language Models and their Limitations

Paper • 2412.04503 • Published Dec 3, 2024

arXiv-Papers referenced in Paper arxiv:2601.08302

This collection contains all arXiv-Papers referenced in paper https://huggingface.co/papers/2601.08302

On Prompt Sensitivity of ChatGPT in Affective Computing

Paper • 2403.14006 • Published Mar 20, 2024
Unleashing the potential of prompt engineering in Large Language Models: a comprehensive review

Paper • 2310.14735 • Published Oct 23, 2023
Fine-tuning multilingual language models in Twitter/X sentiment analysis: a study on Eastern-European V4 languages

Paper • 2408.02044 • Published Aug 4, 2024
Transformers Learn to Implement Multi-step Gradient Descent with Chain of Thought

Paper • 2502.21212 • Published Feb 28, 2025

Language Models are Few-Shot Learners

Paper • 2005.14165 • Published May 28, 2020 • 19
Large Language Models Are Human-Level Prompt Engineers

Paper • 2211.01910 • Published Nov 3, 2022 • 1
Lost in the Middle: How Language Models Use Long Contexts

Paper • 2307.03172 • Published Jul 6, 2023 • 43
Large Language Models are Zero-Shot Reasoners

Paper • 2205.11916 • Published May 24, 2022 • 3

Inverse Reinforcement Learning Meets Large Language Model Post-Training: Basics, Advances, and Opportunities

Paper • 2507.13158 • Published Jul 17, 2025 • 24
DrafterBench: Benchmarking Large Language Models for Tasks Automation in Civil Engineering

Paper • 2507.11527 • Published Jul 15, 2025 • 35
Promptomatix: An Automatic Prompt Optimization Framework for Large Language Models

Paper • 2507.14241 • Published Jul 17, 2025 • 18
The Prompt Report: A Systematic Survey of Prompting Techniques

Paper • 2406.06608 • Published Jun 6, 2024 • 68

Context Engineering

A Survey of Context Engineering for Large Language Models

Paper • 2507.13334 • Published Jul 17, 2025 • 261
Large Language Models for Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering

Paper • 2305.03403 • Published May 5, 2023 • 2
The Prompt Report: A Systematic Survey of Prompting Techniques

Paper • 2406.06608 • Published Jun 6, 2024 • 68
A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications

Paper • 2402.07927 • Published Feb 5, 2024 • 2

The Prompt Report: A Systematic Survey of Prompting Techniques

Paper • 2406.06608 • Published Jun 6, 2024 • 68

Prompt Engineering a Prompt Engineer

Paper • 2311.05661 • Published Nov 9, 2023 • 23
A Survey of Prompt Engineering Methods in Large Language Models for Different NLP Tasks

Paper • 2407.12994 • Published Jul 17, 2024
Unleashing the potential of prompt engineering in Large Language Models: a comprehensive review

Paper • 2310.14735 • Published Oct 23, 2023
Prompt Design and Engineering: Introduction and Advanced Methods

Paper • 2401.14423 • Published Jan 24, 2024 • 1

Learn Prompting Research Papers

The Prompt Report: A Systematic Survey of Prompting Techniques

Paper • 2406.06608 • Published Jun 6, 2024 • 68
Ignore This Title and HackAPrompt: Exposing Systemic Vulnerabilities of LLMs through a Global Scale Prompt Hacking Competition

Paper • 2311.16119 • Published Oct 24, 2023 • 2

Prompt Engineering

The Prompt Report: A Systematic Survey of Prompting Techniques

Paper • 2406.06608 • Published Jun 6, 2024 • 68
PromptSystematicReview/ThePromptReport

Viewer • Updated Jun 14, 2024 • 83 • 1.42k • 46

The Prompt Report: A Systematic Survey of Prompting Techniques

Paper • 2406.06608 • Published Jun 6, 2024 • 68

Papers - Intro, Review, Survey

Language Models: A Guide for the Perplexed

Paper • 2311.17301 • Published Nov 29, 2023
The Prompt Report: A Systematic Survey of Prompting Techniques

Paper • 2406.06608 • Published Jun 6, 2024 • 68
Reinforcement Learning: An Overview

Paper • 2412.05265 • Published Dec 6, 2024 • 8
A Primer on Large Language Models and their Limitations

Paper • 2412.04503 • Published Dec 3, 2024

Previous
1
2
3
4
Next

Company

TOS Privacy About Careers

Website

Models Datasets Spaces Pricing Docs