Results 71 to 80 of about 248,393 (200)
Evaluating Quantized Llama 2 Models for IoT Privacy Policy Language Generation
Future InternetQuantized large language models are large language models (LLMs) optimized for model size while preserving their efficacy. They can be executed on consumer-grade computers without the powerful features of dedicated servers needed to execute regular (non ...
Bhavani Malisetty, Alfredo J. Perez
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Modelica - A Language for Physical System Modeling, Visualization and Interaction
, 1999 Modelica is an object-oriented language for modeling of large, complex and heterogeneous physical systems. It is suited for multi-domain modeling, for example for modeling of mechatronics including cars, aircrafts and industrial robots which typically ...
Mattsson, S. E., Otter, M., Elmqvist, H.
core
Document expansion, query translation and language modeling for ad-hoc IR [PDF]
, 2010 For the multilingual ad-hoc document retrieval track (TEL) at CLEF, Trinity College Dublin and Dublin City University participated in collaboration. Our retrieval experiments focused on i) document expansion using an entry vocabulary module, ii) query ...
Wade, Vincent +7 more
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Computational Cognitive Modeling and Linguistic Theory [PDF]
, 2020 This open access book introduces a general framework that allows natural language researchers to enhance existing competence theories with fully specified performance and processing components.
Brasoveanu, Adrian +2 more
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Red Teaming Language Model Detectors with Language Models
Transactions of the Association for Computational LinguisticsAbstract The prevalence and strong capability of large language models (LLMs) present significant safety and ethical risks if exploited by malicious users. To prevent the potentially deceptive usage of LLMs, recent work has proposed algorithms to detect LLM-generated text and protect LLMs. In this paper, we investigate the robustness and
Zhouxing Shi +5 more
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A Morphology-Driven Approach to NLP for a Low-Resource, Highly Complex Language
Vietnam Journal of Computer ScienceThis paper presents a study investigating the optimization of well-known NLP algorithms and approaches for the Georgian language, known for its unique linguistic features.
Irakli Kardava
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Language Model Memory and Memory Models for Language
CoRRThe ability of machine learning models to store input information in hidden layer vector embeddings, analogous to the concept of `memory', is widely employed but not well characterized. We find that language model embeddings typically contain relatively little input information regardless of data and compute scale during training.
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Flight Arrival Scheduling via Large Language Model
AerospaceThe flight arrival scheduling problem is one of the critical tasks in air traffic operations, aiming to ensure that the flight arrive in the correct sequence safely. Existing methods primarily focus on the terminal area and often overlook the presence of
Wentao Zhou +4 more
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Comparative analysis of business rules and business process modeling languages
Computational Science and Techniques, 2013 During developing an information system is important to create clear models and choose suitable modeling languages. The article analyzes the SRML, SBVR, PRR, SWRL, OCL rules specifying language and UML, DFD, CPN, EPC and IDEF3 BPMN business process ...
Audrius Rima +2 more
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Modelling language using large language models
Philosophical StudiesAbstract This paper argues that large language models have a valuable scientific role to play in serving as scientific models of public languages. Linguistic study should not only be concerned with the cognitive processes behind linguistic competence, but also with language understood as an external, social entity.
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