Predicting fine-tuning performance with probing
Large NLP models have recently shown impressive performance in language
understanding tasks, typically evaluated by their fine-tuned performance. Alternatively …
understanding tasks, typically evaluated by their fine-tuned performance. Alternatively …
Enhancing Machine-Generated Text Detection: Adversarial Fine-Tuning of Pre-Trained Language Models
DH Lee, B Jang - IEEE Access, 2024 - ieeexplore.ieee.org
Advances in large language models (LLMs) have revolutionized the natural language
processing field. However, the text generated by LLMs can result in various issues, such as …
processing field. However, the text generated by LLMs can result in various issues, such as …
Large Language Model Unlearning via Embedding-Corrupted Prompts
Large language models (LLMs) have advanced to encompass extensive knowledge across
diverse domains. Yet controlling what a large language model should not know is important …
diverse domains. Yet controlling what a large language model should not know is important …
Comparative analysis on aspect-based sentiment using bert
A Tiwari, K Tewari, S Dawar, A Singh… - 2023 7th International …, 2023 - ieeexplore.ieee.org
Aspect-based Sentiment Analysis (ABSA) is a complex model within the domain of
Sentiment Analysis (SA) tasks which deals with classifying the sentiments related to …
Sentiment Analysis (SA) tasks which deals with classifying the sentiments related to …