Applicability of large language models and generative models for legal case judgement summarization
Automatic summarization of legal case judgements, which are known to be long and
complex, has traditionally been tried via extractive summarization models. In recent years …
complex, has traditionally been tried via extractive summarization models. In recent years …
How well can large language models explain business processes?
D Fahland, F Fournier, L Limonad, I Skarbovsky… - arXiv preprint arXiv …, 2024 - arxiv.org
Large Language Models (LLMs) are likely to play a prominent role in future AI-augmented
business process management systems (ABPMSs) catering functionalities across all system …
business process management systems (ABPMSs) catering functionalities across all system …
[HTML][HTML] Development of a supervised active learning–Natural language processing (NLP) model to automatically extract clinical data from electronic health records …
Introduction Data collection often relies on time-consuming manual inputs, with a vast
amount of information embedded in unstructured texts such as patients' medical records and …
amount of information embedded in unstructured texts such as patients' medical records and …
AutoBench: Automatic Testbench Generation and Evaluation Using LLMs for HDL Design
In digital circuit design, testbenches (TBs) constitute the cornerstone of simulation-based
hardware verification. Traditional methodologies for testbench generation during simulation …
hardware verification. Traditional methodologies for testbench generation during simulation …
AutoAPIEval: A Framework for Automated Evaluation of LLMs in API-Oriented Code Generation
Large language models (LLMs) like GitHub Copilot and ChatGPT have emerged as
powerful tools for code generation, significantly enhancing productivity and accelerating …
powerful tools for code generation, significantly enhancing productivity and accelerating …
Enhancing Natural Language Inference Performance with Knowledge Graph for COVID-19 Automated Fact-Checking in Indonesian Language
AP Muharram, A Purwarianti - arXiv preprint arXiv:2409.00061, 2024 - arxiv.org
Automated fact-checking is a key strategy to overcome the spread of COVID-19
misinformation on the internet. These systems typically leverage deep learning approaches …
misinformation on the internet. These systems typically leverage deep learning approaches …
FakeWatch ElectionShield: A Benchmarking Framework to Detect Fake News for Credible US Elections
T Khan, M Rahman, V Chatrath, O Bamgbose… - arXiv preprint arXiv …, 2023 - arxiv.org
In today's technologically driven world, the spread of fake news, particularly during crucial
events such as elections, presents an increasing challenge to the integrity of information. To …
events such as elections, presents an increasing challenge to the integrity of information. To …
Physics simulation capabilities of LLMs
Abstract Large Language Models (LLMs) can solve some undergraduate-level to graduate-
level physics text-book problems and are proficient at coding. Combining these two …
level physics text-book problems and are proficient at coding. Combining these two …
A Framework to Assess Clinical Safety and Hallucination Rates of LLMs for Medical Text Summarisation
E Asgari, N Montana-Brown, M Dubois, S Khalil… - medRxiv, 2024 - medrxiv.org
The integration of large language models (LLMs) into healthcare settings holds great
promise for improving clinical workflow efficiency and enhancing patient care, with the …
promise for improving clinical workflow efficiency and enhancing patient care, with the …
Automated Functionality and Security Evaluation of Large Language Models
M Ding, Y Shen, M Chen - 2024 9th IEEE International …, 2024 - ieeexplore.ieee.org
Natural language processing (NLP) is rapidly developing. A series of Large Language
Models (LLMs) have emerged, represented by ChatGPT, which have made significant …
Models (LLMs) have emerged, represented by ChatGPT, which have made significant …