Results 31 to 40 of about 17,696,681 (275)
Binding Language Models in Symbolic Languages
CoRR, 2022 Though end-to-end neural approaches have recently been dominating NLP tasks in both performance and ease-of-use, they lack interpretability and robustness. We propose Binder, a training-free neural-symbolic framework that maps the task input to a program, which (1) allows binding a unified API of language model (LM) functionalities to a programming ...
Zhoujun Cheng +11 more
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Language Modeling by Language Models
CoRRCan we leverage LLMs to model the process of discovering novel language model (LM) architectures? Inspired by real research, we propose a multi-agent LLM approach that simulates the conventional stages of research, from ideation and literature search (proposal stage) to design implementation (code generation), generative pre-training, and downstream ...
Junyan Cheng +2 more
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A structured language model [PDF]
Proceedings of the 35th annual meeting on Association for Computational Linguistics -, 1997 The paper presents a language model that develops syntactic structure and uses it to extract meaningful information from the word history, thus enabling the use of long distance dependencies. The model assigns probability to every joint sequence of words - binary-parse-structure with headword annotation.
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A Language for Trust Modelling [PDF]
, 2016 The computational trust paradigm supposes that it is possible to quantify trust relations that occur within some software systems. The paradigm covers a variety of trust systems, such as trust management systems, reputation systems and trust-based security systems.
Tim Muller +2 more
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Real-time Controlling Dynamics Sensing in Air Traffic System
Sensors, 2019 In order to obtain real-time controlling dynamics in air traffic system, a framework is proposed to introduce and process air traffic control (ATC) speech via radiotelephony communication. An automatic speech recognition (ASR) and controlling instruction
Yi Lin +5 more
doaj +1 more source
Keeleandmete õigusliku režiimi mõju nende abil loodud keelemudelitele
Eesti Rakenduslingvistika Ühingu Aastaraamat, 2020 Artikli eesmärgiks on selgitada, millises ulatuses mõjutab keeleandmetele kohalduv õiguslik režiim keelemudelite arendamist ja kasutamist. Autorid lähtuvad oma käsitluses protsessiskeemist, alustades algandmetest ning lõpetades keeletehnoloogiat ...
Aleksei Kelli +9 more
doaj +1 more source
Watermarking Language Models Through Language Models
IEEE Transactions on Artificial IntelligenceWatermarking the outputs of large language models (LLMs) is critical for provenance tracing, content regulation, and model accountability. Existing approaches often rely on access to model internals or are constrained by static rules and token-level perturbations.
Agnibh Dasgupta +2 more
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MTIL2017: Machine Translation Using Recurrent Neural Network on Statistical Machine Translation
Journal of Intelligent Systems, 2019 Machine translation (MT) is the automatic translation of the source language to its target language by a computer system. In the current paper, we propose an approach of using recurrent neural networks (RNNs) over traditional statistical MT (SMT).
Mahata Sainik Kumar +2 more
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A hybrid model of complexity estimation: Evidence from Russian legal texts
Frontiers in Artificial Intelligence, 2022 This article proposes a hybrid model for the estimation of the complexity of legal documents in Russian. The model consists of two main modules: linguistic feature extractor and a transformer-based neural encoder.
Olga Blinova +2 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Embryonal tumors comprise the majority of malignant central nervous system (CNS) neoplasms diagnosed in children under 3 years of age. Compared with their counterparts in older children, these tumors exhibit distinct molecular biology and a more aggressive clinical phenotype, while their management is complicated by the heightened ...
Sudarshawn Damodharan +3 more
wiley +1 more source