14 examples of how LLMs can transform materials science and chemistry: a reflection on a large language model hackathon
Large-language models (LLMs) such as GPT-4 caught the interest of many scientists.
Recent studies suggested that these models could be useful in chemistry and materials …
Recent studies suggested that these models could be useful in chemistry and materials …
Transfer learning for sentiment analysis using BERT based supervised fine-tuning
The growth of the Internet has expanded the amount of data expressed by users across
multiple platforms. The availability of these different worldviews and individuals' emotions …
multiple platforms. The availability of these different worldviews and individuals' emotions …
Short-text semantic similarity (stss): Techniques, challenges and future perspectives
In natural language processing, short-text semantic similarity (STSS) is a very prominent
field. It has a significant impact on a broad range of applications, such as question …
field. It has a significant impact on a broad range of applications, such as question …
[HTML][HTML] Applying large language models and chain-of-thought for automatic scoring
This study investigates the application of large language models (LLMs), specifically GPT-
3.5 and GPT-4, with Chain-of-Though (CoT) in the automatic scoring of student-written …
3.5 and GPT-4, with Chain-of-Though (CoT) in the automatic scoring of student-written …
Precise single-stage detector
There are still two problems in SDD causing some inaccurate results:(1) In the process of
feature extraction, with the layer-by-layer acquisition of semantic information, local …
feature extraction, with the layer-by-layer acquisition of semantic information, local …
Cyberbullying detection in social networks: A comparison between machine learning and transfer learning approaches
TH Teng, KD Varathan - IEEE Access, 2023 - ieeexplore.ieee.org
Information and Communication Technologies fueled social networking and facilitated
communication. However, cyberbullying on the platform had detrimental ramifications. The …
communication. However, cyberbullying on the platform had detrimental ramifications. The …
Predicting mobile users' next location using the semantically enriched geo-embedding model and the multilayer attention mechanism
Predicting the next location of human mobility and its semantic information can support
recommendations for location-based services and trajectory mining, such as human mobility …
recommendations for location-based services and trajectory mining, such as human mobility …
Analysis of seminary learner campus network behaviour using machine learning techniques
These days, a lot of significant information have been collected. As per the huge information
from the administration arrangement of college, it is endeavoured to partition understudies' …
from the administration arrangement of college, it is endeavoured to partition understudies' …
Deepfake Detection on Social Media: Leveraging Deep Learning and FastText Embeddings for Identifying Machine-Generated Tweets
Recent advancements in natural language production provide an additional tool to
manipulate public opinion on social media. Furthermore, advancements in language …
manipulate public opinion on social media. Furthermore, advancements in language …
Exploring science-technology linkages: A deep learning-empowered solution
X Chen, P Ye, L Huang, C Wang, Y Cai, L Deng… - Information Processing …, 2023 - Elsevier
In-depth exploration of the knowledge linkages between science and technology (S&T) is an
essential prerequisite for accurately understanding the S&T innovation laws, promoting the …
essential prerequisite for accurately understanding the S&T innovation laws, promoting the …