361 citations
- Carnegie Mellon UniversityUS12 papers
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- University of WashingtonUS5 papers
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- Centre National de la Recherche ScientifiqueFR4 papers
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- École Polytechnique Fédérale de LausanneCH3 papers
11 papers · 1 filter
Knowledge Graph Reasoning with Self-supervised Reinforcement Learning
Ying Ma, Owen Burns, Mingqiu Wang +6
Reinforcement learning (RL) is an effective method of finding reasoning pathways in incomplete knowledge graphs (KGs). To overcome the challenges of a large action space, a self-su…
Gender bias and stereotypes in Large Language Models
Hadas Kotek, Rikker Dockum, David Q. Sun
Large Language Models (LLMs) have made substantial progress in the past several months, shattering state-of-the-art benchmarks in many domains. This paper investigates LLMs' behavi…
Domain Representative Keywords Selection: A Probabilistic Approach
Pritom Saha Akash, Jie Huang, Kevin Chen-Chuan Chang +3
We propose a probabilistic approach to select a subset of a \textit{target domain representative keywords} from a candidate set, contrasting with a context domain. Such a task is c…
User-Initiated Repetition-Based Recovery in Multi-Utterance Dialogue Systems
Hoang Long Nguyen, Vincent Renkens, Joris Pelemans +3
Recognition errors are common in human communication. Similar errors often lead to unwanted behaviour in dialogue systems or virtual assistants. In human communication, we can reco…
Predicting User Engagement Status for Online Evaluation of Intelligent Assistants
Rui Meng, Zhen Yue, Alyssa Glass
Evaluation of intelligent assistants in large-scale and online settings remains an open challenge. User behavior-based online evaluation metrics have demonstrated great effectivene…
Voice trigger detection from LVCSR hypothesis lattices using bidirectional lattice recurrent neural networks
Woojay Jeon, Leo Liu, Henry Mason
We propose a method to reduce false voice triggers of a speech-enabled personal assistant by post-processing the hypothesis lattice of a server-side large-vocabulary continuous spe…