Challenges and applications of large language models
Large Language Models (LLMs) went from non-existent to ubiquitous in the machine
learning discourse within a few years. Due to the fast pace of the field, it is difficult to identify …
learning discourse within a few years. Due to the fast pace of the field, it is difficult to identify …
Large language models for compiler optimization
We explore the novel application of Large Language Models to code optimization. We
present a 7B-parameter transformer model trained from scratch to optimize LLVM assembly …
present a 7B-parameter transformer model trained from scratch to optimize LLVM assembly …
Machine-assisted mixed methods: augmenting humanities and social sciences with artificial intelligence
A Karjus - arxiv preprint arxiv:2309.14379, 2023 - arxiv.org
The increasing capacities of large language models (LLMs) present an unprecedented
opportunity to scale up data analytics in the humanities and social sciences, augmenting …
opportunity to scale up data analytics in the humanities and social sciences, augmenting …
AirGapAgent: Protecting privacy-conscious conversational agents
The growing use of large language model (LLM)-based conversational agents to manage
sensitive user data raises significant privacy concerns. While these agents excel at …
sensitive user data raises significant privacy concerns. While these agents excel at …
[HTML][HTML] Assessing Large Language Models Used for Extracting Table Information from Annual Financial Reports
D Balsiger, HR Dimmler, S Egger-Horstmann, T Hanne - Computers, 2024 - mdpi.com
The extraction of data from tables in PDF documents has been a longstanding challenge in
the field of data processing and analysis. While traditional methods have been explored in …
the field of data processing and analysis. While traditional methods have been explored in …
A study of recent advancements in deep learning for natural language processing
Natural Language Processing has gained interests and progress over the last decade. Its
success can be attributed to the recent advances made in the field of Deep Learning. This …
success can be attributed to the recent advances made in the field of Deep Learning. This …
Exploring failure cases in multimodal reasoning about physical dynamics
In this paper, we present an exploration of LLMs' abilities to problem solve with physical
reasoning in situated environments. We construct a simple simulated environment and …
reasoning in situated environments. We construct a simple simulated environment and …
PPTopicPLM: plug-and-play topic-enhanced pre-trained language model for short-text rumor detection
J Zeng, X Li, X Ma - The Journal of Supercomputing, 2025 - Springer
Recently, lots of pre-trained language models (PLMs) have been investigated for rumor
detection and obtained superior results. However, existing PLM-based approaches are …
detection and obtained superior results. However, existing PLM-based approaches are …
Constraint satisfaction in large language models
Constraint satisfaction theories were prominent in the late 20th century and emphasized
continuous, rich interaction between many sources of information in a linguistic signal …
continuous, rich interaction between many sources of information in a linguistic signal …
The Linguistics of Programming
CS Gordon - Proceedings of the 2024 ACM SIGPLAN International …, 2024 - dl.acm.org
Research in programming languages and software engineering are broadly concerned with
the study of aspects of computer programs: their syntactic structure, the relationship between …
the study of aspects of computer programs: their syntactic structure, the relationship between …