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20212026
most citedNovelty Controlled Paraphrase Generation with Retrieval Augmented Conditional Prompt Tuning

4 citations · 7 across the 4 of their papers we have counts for

collaborators

5 papers

cs.IR2026

MIDR: Enrichment-Augmented Indexing for Multimodal Document Retrieval

Debanjan Mahata, Atharva Tendle, Daniel Preotiuc-Pietro +2

Retrieval over visually rich documents has a representation problem: important content often lives in tables, charts, figures, and layout relations that plain OCR linearizes, corru…

cs.HC2026

MazzikaAI: A knowledge-based performance-to-prompt compiler for real-time Arabic maqam accompaniment with a streaming text-to-music model

Jiaxin Du, Boulbaba Abdeljaouad, Yong Zhuang +1

Arabic maqam music microtonal, modal, and built on ornamented call and response is among the traditions most underserved by generative music models, whose training frameworks remai…

cs.IR2023

Dense Retrieval Adaptation using Target Domain Description

Helia Hashemi, Yong Zhuang, Sachith Sri Ram Kothur +3

In information retrieval (IR), domain adaptation is the process of adapting a retrieval model to a new domain whose data distribution is different from the source domain. Existing…

cs.CL2022★ 4 cited

Novelty Controlled Paraphrase Generation with Retrieval Augmented Conditional Prompt Tuning

Jishnu Ray Chowdhury, Yong Zhuang, Shuyi Wang

Paraphrase generation is a fundamental and long-standing task in natural language processing. In this paper, we concentrate on two contributions to the task: (1) we propose Retriev…

cs.CL2021★ 3 cited

Federated Natural Language Generation for Personalized Dialogue System

Yujie Lu, Chao Huang, Huanli Zhan +1

Neural conversational models have long suffered from the problem of inconsistency and lacking coherent personality. To address the issue, persona-based models capturing individual…