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Chain-of-Verification Reduces Hallucination in Large Language Models [PDF]
Annual Meeting of the Association for Computational Linguistics, 2023 Generation of plausible yet incorrect factual information, termed hallucination, is an unsolved issue in large language models. We study the ability of language models to deliberate on the responses they give in order to correct their mistakes.
S. Dhuliawala +6 more
semanticscholar +1 more source
Deductive Verification of Chain-of-Thought Reasoning [PDF]
Neural Information Processing Systems, 2023 Large Language Models (LLMs) significantly benefit from Chain-of-Thought (CoT) prompting in performing various reasoning tasks. While CoT allows models to produce more comprehensive reasoning processes, its emphasis on intermediate reasoning steps can ...
Z. Ling +6 more
semanticscholar +1 more source
ECAPA-TDNN: Emphasized Channel Attention, Propagation and Aggregation in TDNN Based Speaker Verification [PDF]
Interspeech, 2020 Current speaker verification techniques rely on a neural network to extract speaker representations. The successful x-vector architecture is a Time Delay Neural Network (TDNN) that applies statistics pooling to project variable-length utterances into ...
Brecht Desplanques +2 more
semanticscholar +1 more source
Sensors, 2022 Positioning via outdoor fingerprinting, which exploits the radio signals emitted by cellular towers, is fundamental in many applications. In most cases, the localization performance is affected by the availability of information about the emitters, such ...
Andrea Brunello +5 more
doaj +1 more source
Large Language Models are Better Reasoners with Self-Verification [PDF]
Conference on Empirical Methods in Natural Language Processing, 2022 Recently, with the chain of thought (CoT) prompting, large language models (LLMs), e.g., GPT-3, have shown strong reasoning ability in several natural language processing tasks such as arithmetic, commonsense, and logical reasoning.
Yixuan Weng +6 more
semanticscholar +1 more source
Research on installation and application of an additive manufacturing gust lock bracket
Hangkong gongcheng jinzhan, 2023 According to the requirement of the installation of 3D printing technology,after the completion of the verification of materials and processes,the permissible value test of specimen level additive manufacturing materials and the additive manufacturing ...
LI Lei, ZHANG Zhongzhen, ZHANG Hao
doaj +1 more source
Journal of Open Archaeology Data, 2021 These data were used to build an object detection model to locate Relict Charcoal Hearths (RCH) as described in the paper “When Computers Dream of Charcoal: Using Deep Learning, Open Tools and Open Data to Identify Relict Charcoal Hearths in and around ...
Jeff Blackadar +2 more
doaj +1 more source
BIM-based Collaborative Management and Intelligent Manufacturing in the Shenzhong Link Project [PDF]
E3S Web of Conferences, 2019 Building Information Modelling (BIM) technology has become a central topic in infrastructure construction industry recently in China. This paper describes the applications of BIM technology, including 3D digital design, intelligent manufacturing, smart ...
Liu Cheng +3 more
doaj +1 more source
FEVER: a Large-scale Dataset for Fact Extraction and VERification [PDF]
North American Chapter of the Association for Computational Linguistics, 2018 In this paper we introduce a new publicly available dataset for verification against textual sources, FEVER: Fact Extraction and VERification. It consists of 185,445 claims generated by altering sentences extracted from Wikipedia and subsequently ...
James Thorne +3 more
semanticscholar +1 more source
Journal of Open Archaeology Data, 2021 These data were used to build an object detection model to locate Relict Charcoal Hearths (RCH) as described in the paper “When Computers Dream of Charcoal: Using Deep Learning, Open Tools and Open Data to Identify Relict Charcoal Hearths in and around ...
Weston Conner +2 more
doaj +1 more source