Results 11 to 20 of about 89,234 (277)

Hallucination Mitigation for Retrieval-Augmented Large Language Models: A Review

Mathematics
Retrieval-augmented generation (RAG) leverages the strengths of information retrieval and generative models to enhance the handling of real-time and domain-specific knowledge.
Wan Zhang, Jing Zhang
doaj   +3 more sources

Retrieval augmented generation using engineering design knowledge

Knowledge-Based Systems
Resources: Dataset - https://huggingface.co/datasets/siddharthl1293/engineering_design_facts Training Infrastructure - https://zenodo.org/records/12012131 Trained model - https://huggingface.co/siddharthl1293/albert-albert-large-v2 Application - https://github.com/siddharthl93/engineering-design ...
L. Siddharth, Jianxi Luo
openaire   +4 more sources

Retrieval-Augmented Controllable Review Generation [PDF]

Proceedings of the 28th International Conference on Computational Linguistics, 2020
In this paper, we study review generation given a set of attribute identifiers which are user ID, product ID and rating. This is a difficult subtask of natural language generation since models are limited to the given identifiers, without any specific descriptive information regarding the inputs, when generating the text.
Jihyeok Kim, Seungtaek Choi, Reinald Kim Amplayo, Seung-won Hwang   +3 more
openaire   +1 more source

Portable extraction of partially structured facts from the web [PDF]

, 2010
A novel fact extraction task is defined to fill a gap between current information retrieval and information extraction technologies. It is shown that it is possible to extract useful partially structured facts about different kinds of entities in a broad
Jones, Gareth J.F., Kelly, Liadh, Salway, Andrew, Skadiņa, Inguna   +3 more
core   +4 more sources

Leveraging Retrieval-Augmented Generation for Swahili Language Conversation Systems

Applied Sciences
A conversational system is an artificial intelligence application designed to interact with users in natural language, providing accurate and contextually relevant responses.
Edmund V. Ndimbo, Qin Luo, Gimo C. Fernando, Xu Yang, Bang Wang   +4 more
doaj   +1 more source

Review of Document Q&A Driven by Multimodal Retrieval-Augmented Generation (Invited) [PDF]

Jisuanji gongcheng
Traditional Retrieval-Augmented Generation (RAG) methods predominantly focus on pure-text scenarios. In these scenarios, their retrieval and generation mechanisms encounter difficulties in effectively modeling common visual elements, spatial layouts, and
LI Zeming, WANG Shuliang, SHANG Zihe, SHENG Ming
doaj   +1 more source

InfoLink: analysis of Dutch broadcast news and cross-media browsing [PDF]

, 2005
In this paper, a cross-media browsing demonstrator named InfoLink is described. InfoLink automatically links the content of Dutch broadcast news videos to related information sources in parallel collections containing text and/or video.
Hessen, Arjan van, Jong, Franciska de, Morang, Jeroen, Ordelman, Roeland   +3 more
core   +2 more sources

SketchyGAN: Towards Diverse and Realistic Sketch to Image Synthesis

, 2018
Synthesizing realistic images from human drawn sketches is a challenging problem in computer graphics and vision. Existing approaches either need exact edge maps, or rely on retrieval of existing photographs.
Chen, Wengling, Hays, James
core   +1 more source

Context reinstatement in recognition: memory and beyond [PDF]

, 2014
Context effects in recognition tests are twofold. First, presenting familiar contexts at a test leads to an attribution of context familiarity to a recognition probe, which has been dubbed ‘context-dependent recognition’.
Bancroft, Bodner, Bulevich, Busey, Clark, Dando, Dodson, Eich, Eich, Evans, Fisher, Geiselman, Godden, Gruppuso, Gruppuso, Hanczakowski, Hanczakowski, Higham, Higham, Higham, Hockley, Hockley, Hockley, Jaeger, Jou, Katarzyna Zawadzka, Kerr, Koriat, Koriat, Koriat, Laura Coote, Maciej Hanczakowski, Macken, Mickes, Milne, Mueller, Murnane, Murnane, Murnane, Murnane, Reder, Reinitz, Reinitz, Smith, Smith, Smith, Sporer, Tibon, Watkins, Winograd   +49 more
core   +2 more sources

A Survey on Dialogue Systems: Recent Advances and New Frontiers

, 2017
Dialogue systems have attracted more and more attention. Recent advances on dialogue systems are overwhelmingly contributed by deep learning techniques, which have been employed to enhance a wide range of big data applications such as computer vision ...
Chen, Hongshen, Liu, Xiaorui, Tang, Jiliang, Yin, Dawei   +3 more
core   +1 more source