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On Prompt Sensitivity of ChatGPT in Affective Computing
Paper • 2403.14006 • Published -
Unleashing the potential of prompt engineering in Large Language Models: a comprehensive review
Paper • 2310.14735 • Published -
Fine-tuning multilingual language models in Twitter/X sentiment analysis: a study on Eastern-European V4 languages
Paper • 2408.02044 • Published -
Transformers Learn to Implement Multi-step Gradient Descent with Chain of Thought
Paper • 2502.21212 • Published
Collections
Discover the best community collections!
Collections including paper arxiv:2402.07927
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Large Language Model Alignment: A Survey
Paper • 2309.15025 • Published • 2 -
Aligning Large Language Models with Human: A Survey
Paper • 2307.12966 • Published • 1 -
Direct Preference Optimization: Your Language Model is Secretly a Reward Model
Paper • 2305.18290 • Published • 64 -
SteerLM: Attribute Conditioned SFT as an (User-Steerable) Alternative to RLHF
Paper • 2310.05344 • Published • 1
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LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models
Paper • 2309.12307 • Published • 89 -
LMDX: Language Model-based Document Information Extraction and Localization
Paper • 2309.10952 • Published • 67 -
Table-GPT: Table-tuned GPT for Diverse Table Tasks
Paper • 2310.09263 • Published • 40 -
BitNet: Scaling 1-bit Transformers for Large Language Models
Paper • 2310.11453 • Published • 107
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A Survey of Context Engineering for Large Language Models
Paper • 2507.13334 • Published • 263 -
Large Language Models for Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering
Paper • 2305.03403 • Published • 3 -
The Prompt Report: A Systematic Survey of Prompting Techniques
Paper • 2406.06608 • Published • 68 -
A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications
Paper • 2402.07927 • Published • 2
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Self-Rewarding Language Models
Paper • 2401.10020 • Published • 153 -
ReFT: Reasoning with Reinforced Fine-Tuning
Paper • 2401.08967 • Published • 32 -
Tuning Language Models by Proxy
Paper • 2401.08565 • Published • 22 -
TrustLLM: Trustworthiness in Large Language Models
Paper • 2401.05561 • Published • 69
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On Prompt Sensitivity of ChatGPT in Affective Computing
Paper • 2403.14006 • Published -
Unleashing the potential of prompt engineering in Large Language Models: a comprehensive review
Paper • 2310.14735 • Published -
Fine-tuning multilingual language models in Twitter/X sentiment analysis: a study on Eastern-European V4 languages
Paper • 2408.02044 • Published -
Transformers Learn to Implement Multi-step Gradient Descent with Chain of Thought
Paper • 2502.21212 • Published
-
A Survey of Context Engineering for Large Language Models
Paper • 2507.13334 • Published • 263 -
Large Language Models for Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering
Paper • 2305.03403 • Published • 3 -
The Prompt Report: A Systematic Survey of Prompting Techniques
Paper • 2406.06608 • Published • 68 -
A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications
Paper • 2402.07927 • Published • 2
-
Large Language Model Alignment: A Survey
Paper • 2309.15025 • Published • 2 -
Aligning Large Language Models with Human: A Survey
Paper • 2307.12966 • Published • 1 -
Direct Preference Optimization: Your Language Model is Secretly a Reward Model
Paper • 2305.18290 • Published • 64 -
SteerLM: Attribute Conditioned SFT as an (User-Steerable) Alternative to RLHF
Paper • 2310.05344 • Published • 1
-
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 153 -
ReFT: Reasoning with Reinforced Fine-Tuning
Paper • 2401.08967 • Published • 32 -
Tuning Language Models by Proxy
Paper • 2401.08565 • Published • 22 -
TrustLLM: Trustworthiness in Large Language Models
Paper • 2401.05561 • Published • 69
-
LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models
Paper • 2309.12307 • Published • 89 -
LMDX: Language Model-based Document Information Extraction and Localization
Paper • 2309.10952 • Published • 67 -
Table-GPT: Table-tuned GPT for Diverse Table Tasks
Paper • 2310.09263 • Published • 40 -
BitNet: Scaling 1-bit Transformers for Large Language Models
Paper • 2310.11453 • Published • 107