Search Results - "Jandaghi, Pegah"

QANet: Tensor Decomposition Approach for Query-Based Anomaly Detection in Heterogeneous Information Networks by Ranjbar, Vahid, Salehi, Mostafa, Jandaghi, Pegah, Jalili, Mahdi

“…Complex networks have now become integral parts of modern information infrastructures. This paper proposes a user-centric method for detecting anomalies in…”
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Human-like Time Series Summaries via Trend Utility Estimation by Jandaghi, Pegah, Pujara, Jay

“…In many scenarios, humans prefer a text-based representation of quantitative data over numerical, tabular, or graphical representations. The attractiveness of…”
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Faithful Persona-based Conversational Dataset Generation with Large Language Models by Jandaghi, Pegah, Sheng, XiangHai, Bai, Xinyi, Pujara, Jay, Sidahmed, Hakim

“…High-quality conversational datasets are essential for developing AI models that can communicate with users. One way to foster deeper interactions between a…”
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Reflect, Not Reflex: Inference-Based Common Ground Improves Dialogue Response Quality by Zhou, Pei, Cho, Hyundong, Jandaghi, Pegah, Lee, Dong-Ho, Lin, Bill Yuchen, Pujara, Jay, Ren, Xiang

“…Human communication relies on common ground (CG), the mutual knowledge and beliefs shared by participants, to produce coherent and interesting conversations…”
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Emotion Recognition in Conversation using Probabilistic Soft Logic by Augustine, Eriq, Jandaghi, Pegah, Albalak, Alon, Pryor, Connor, Dickens, Charles, Wang, William, Getoor, Lise

“…Creating agents that can both appropriately respond to conversations and understand complex human linguistic tendencies and social cues has been a long…”
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FETA: A Benchmark for Few-Sample Task Transfer in Open-Domain Dialogue by Albalak, Alon, Tuan, Yi-Lin, Jandaghi, Pegah, Pryor, Connor, Yoffe, Luke, Ramachandran, Deepak, Getoor, Lise, Pujara, Jay, Wang, William Yang

“…Task transfer, transferring knowledge contained in related tasks, holds the promise of reducing the quantity of labeled data required to fine-tune language…”
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Probing Commonsense Explanation in Dialogue Response Generation by Zhou, Pei, Jandaghi, Pegah, Lin, Bill Yuchen, Cho, Justin, Pujara, Jay, Ren, Xiang

“…Humans use commonsense reasoning (CSR) implicitly to produce natural and coherent responses in conversations. Aiming to close the gap between current response…”
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QANet: Tensor Decomposition Approach for Query-based Anomaly Detection in Heterogeneous Information Networks by Ranjbar, Vahid, Salehi, Mostafa, Jandaghi, Pegah, Jalili, Mahdi

“…Complex networks have now become integral parts of modern information infrastructures. This paper proposes a user-centric method for detecting anomalies in…”
Get full text