Results 11 to 20 of about 6,156,320 (380)
Manner implicatures in large language models [PDF]
Scientific ReportsIn human speakers’ daily conversations, what we do not say matters. We not only compute the literal semantics but also go beyond and draw inferences from what we could have said but chose not to.
Yan Cong
doaj +2 more sources
Emotional Intelligence of Large Language Models
Journal of Pacific Rim Psychology, 2023 Large Language Models (LLMs) have demonstrated remarkable abilities across numerous disciplines, primarily assessed through tasks in language generation, knowledge utilization, and complex reasoning.
Jia, Liu +4 more
core +2 more sources
Scope Ambiguities in Large Language Models
Transactions of the Association for Computational LinguisticsAbstract Sentences containing multiple semantic operators with overlapping scope often create ambiguities in interpretation, known as scope ambiguities. These ambiguities offer rich insights into the interaction between semantic structure and world knowledge in language processing.
Gaurav Kamath +3 more
doaj +4 more sources
Large language models and the emergence phenomena
European Journal of Radiology Open, 2023 This perspective explores the potential of emergence phenomena in large language models (LLMs) to transform data management and analysis in radiology. We provide a concise explanation of LLMs, define the concept of emergence in machine learning, offer ...
Vera Sorin, Eyal Klang
doaj +3 more sources
Prompting Is Programming: A Query Language for Large Language Models
Proceedings of the ACM on Programming Languages, 2022 Large language models have demonstrated outstanding performance on a wide range of tasks such as question answering and code generation. On a high level, given an input, a language model can be used to automatically complete the sequence in a statistically-likely way.
Luca Beurer-Kellner +2 more
openalex +5 more sources
Sentiment trading with large language models [PDF]
Finance Research LettersWe analyse the performance of the large language models (LLMs) OPT, BERT, and FinBERT, alongside the traditional Loughran-McDonald dictionary, in the sentiment analysis of 965,375 U.S. financial news articles from 2010 to 2023.
Germano, Guido, Kirtac, Kemal
core +5 more sources
Modeling meets Large Language Models [PDF]
Modeling business processes is often challenging due to its complexity and potential for errors. One key issue arises when process experts and modelers are different individuals, which can lead to communication gaps and result in low-quality business ...
Forell, Martin, Schüler, Selina
core +3 more sources
A survey on multimodal large language models. [PDF]
Natl Sci RevABSTRACT Recently, the multimodal large language model (MLLM) represented by GPT-4V has been a new rising research hotspot, which uses powerful large language models (LLMs) as a brain to perform multimodal tasks. The surprising emergent capabilities of the MLLM, such as writing stories based on images and optical character recognition ...
Yin S +6 more
europepmc +3 more sources
Can large language models understand molecules?
BMC BioinformaticsPurpose Large Language Models (LLMs) like Generative Pre-trained Transformer (GPT) from OpenAI and LLaMA (Large Language Model Meta AI) from Meta AI are increasingly recognized for their potential in the field of cheminformatics, particularly in ...
Shaghayegh Sadeghi +4 more
doaj +2 more sources
Large language models in law: A survey
AI OpenThe advent of artificial intelligence (AI) has significantly impacted the traditional judicial industry. Moreover, recently, with the development of AI-generated content (AIGC), AI and law have found applications in various domains, including image ...
Jinqi Lai +4 more
doaj +3 more sources