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Collections including paper arxiv:2402.07927

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

Large Language Model Alignment: A Survey

Paper • 2309.15025 • Published Sep 26, 2023 • 2
Aligning Large Language Models with Human: A Survey

Paper • 2307.12966 • Published Jul 24, 2023 • 1
Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Paper • 2305.18290 • Published May 29, 2023 • 64
SteerLM: Attribute Conditioned SFT as an (User-Steerable) Alternative to RLHF

Paper • 2310.05344 • Published Oct 9, 2023 • 1

LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Paper • 2309.12307 • Published Sep 21, 2023 • 89
LMDX: Language Model-based Document Information Extraction and Localization

Paper • 2309.10952 • Published Sep 19, 2023 • 67
Table-GPT: Table-tuned GPT for Diverse Table Tasks

Paper • 2310.09263 • Published Oct 13, 2023 • 40
BitNet: Scaling 1-bit Transformers for Large Language Models

Paper • 2310.11453 • Published Oct 17, 2023 • 107

Context Engineering

A Survey of Context Engineering for Large Language Models

Paper • 2507.13334 • Published Jul 17, 2025 • 263
Large Language Models for Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering

Paper • 2305.03403 • Published May 5, 2023 • 3
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

Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18, 2024 • 153
ReFT: Reasoning with Reinforced Fine-Tuning

Paper • 2401.08967 • Published Jan 17, 2024 • 32
Tuning Language Models by Proxy

Paper • 2401.08565 • Published Jan 16, 2024 • 22
TrustLLM: Trustworthiness in Large Language Models

Paper • 2401.05561 • Published Jan 10, 2024 • 69

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

Context Engineering

A Survey of Context Engineering for Large Language Models

Paper • 2507.13334 • Published Jul 17, 2025 • 263
Large Language Models for Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering

Paper • 2305.03403 • Published May 5, 2023 • 3
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

Large Language Model Alignment: A Survey

Paper • 2309.15025 • Published Sep 26, 2023 • 2
Aligning Large Language Models with Human: A Survey

Paper • 2307.12966 • Published Jul 24, 2023 • 1
Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Paper • 2305.18290 • Published May 29, 2023 • 64
SteerLM: Attribute Conditioned SFT as an (User-Steerable) Alternative to RLHF

Paper • 2310.05344 • Published Oct 9, 2023 • 1

Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18, 2024 • 153
ReFT: Reasoning with Reinforced Fine-Tuning

Paper • 2401.08967 • Published Jan 17, 2024 • 32
Tuning Language Models by Proxy

Paper • 2401.08565 • Published Jan 16, 2024 • 22
TrustLLM: Trustworthiness in Large Language Models

Paper • 2401.05561 • Published Jan 10, 2024 • 69

LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Paper • 2309.12307 • Published Sep 21, 2023 • 89
LMDX: Language Model-based Document Information Extraction and Localization

Paper • 2309.10952 • Published Sep 19, 2023 • 67
Table-GPT: Table-tuned GPT for Diverse Table Tasks

Paper • 2310.09263 • Published Oct 13, 2023 • 40
BitNet: Scaling 1-bit Transformers for Large Language Models

Paper • 2310.11453 • Published Oct 17, 2023 • 107

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