no code implementations • 1 May 2024 • Scott Rome, Tianwen Chen, Raphael Tang, Luwei Zhou, Ferhan Ture
In this work, we introduce "Ask Me Anything" (AMA) as an add-on feature to an agent-facing customer service interface.
1 code implementation • 30 Nov 2023 • Raphael Tang, Xinyu Zhang, Jimmy Lin, Ferhan Ture
We propose a logistic Bradley-Terry probe which predicts word pair preferences of LLMs from the words' hidden vectors.
1 code implementation • 11 Oct 2023 • Raphael Tang, Xinyu Zhang, Xueguang Ma, Jimmy Lin, Ferhan Ture
Large language models (LLMs) exhibit positional bias in how they use context, which especially complicates listwise ranking.
no code implementations • 21 Nov 2022 • Raphael Tang, Karun Kumar, Gefei Yang, Akshat Pandey, Yajie Mao, Vladislav Belyaev, Madhuri Emmadi, Craig Murray, Ferhan Ture, Jimmy Lin
In this paper, we explore training and deploying an ASR system in the label-scarce, compute-limited setting.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +1
1 code implementation • 10 Oct 2022 • Raphael Tang, Linqing Liu, Akshat Pandey, Zhiying Jiang, Gefei Yang, Karun Kumar, Pontus Stenetorp, Jimmy Lin, Ferhan Ture
Large-scale diffusion neural networks represent a substantial milestone in text-to-image generation, but they remain poorly understood, lacking interpretability analyses.
no code implementations • 19 Dec 2018 • Raphael Tang, Gefei Yang, Hong Wei, Yajie Mao, Ferhan Ture, Jimmy Lin
Voice-enabled commercial products are ubiquitous, typically enabled by lightweight on-device keyword spotting (KWS) and full automatic speech recognition (ASR) in the cloud.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +4
1 code implementation • EMNLP 2018 • Md. Iftekhar Tanveer, Ferhan Ture
This paper describes SyntaViz, a visualization interface specifically designed for analyzing natural-language queries that were created by users of a voice-enabled product.
3 code implementations • 21 May 2018 • Jinfeng Rao, Wei Yang, Yuhao Zhang, Ferhan Ture, Jimmy Lin
To our best knowledge, this paper presents the first substantial work tackling search over social media posts using neural ranking models.
no code implementations • EMNLP 2017 • Ferhan Ture, Oliver Jojic
Our approach formulates the task as two machine learning problems: detecting the entities in the question, and classifying the question as one of the relation types in the KB.
no code implementations • 25 Jul 2017 • Jinfeng Rao, Hua He, Haotian Zhang, Ferhan Ture, Royal Sequiera, Salman Mohammed, Jimmy Lin
To our knowledge, we are the first to integrate lexical and temporal signals in an end-to-end neural network architecture, in which existing neural ranking models are used to generate query-document similarity vectors that feed into a bidirectional LSTM layer for temporal modeling.
no code implementations • EMNLP 2016 • Ferhan Ture, Elizabeth Boschee
In multilingual question answering, either the question needs to be translated into the document language, or vice versa.
no code implementations • 16 Jun 2016 • Ferhan Ture, Oliver Jojic
Our approach formulates the task as two machine learning problems: detecting the entities in the question, and classifying the question as one of the relation types in the KB.