activity
20132025
most citedUnsupervised Paraphrasing via Deep Reinforcement Learning

27 citations · 30 across the 9 of their papers we have counts for

collaborators

10 papers

cs.IR2025

Ontology-Guided Query Expansion for Biomedical Document Retrieval using Large Language Models

Zabir Al Nazi, Vagelis Hristidis, Aaron Lawson McLean +2

Effective Question Answering (QA) on large biomedical document collections requires effective document retrieval techniques. The latter remains a challenging task due to the domain…

cs.IR2024

Progressive Query Expansion for Retrieval Over Cost-constrained Data Sources

Muhammad Shihab Rashid, Jannat Ara Meem, Yue Dong +1

Query expansion has been employed for a long time to improve the accuracy of query retrievers. Earlier works relied on pseudo-relevance feedback (PRF) techniques, which augment a q…

cs.IR2024

NORMY: Non-Uniform History Modeling for Open Retrieval Conversational Question Answering

Muhammad Shihab Rashid, Jannat Ara Meem, Vagelis Hristidis

Open Retrieval Conversational Question Answering (OrConvQA) answers a question given a conversation as context and a document collection. A typical OrConvQA pipeline consists of th…

cs.CL2024

PAT-Questions: A Self-Updating Benchmark for Present-Anchored Temporal Question-Answering

Jannat Ara Meem, Muhammad Shihab Rashid, Yue Dong +1

Existing work on Temporal Question Answering (TQA) has predominantly focused on questions anchored to specific timestamps or events (e.g. "Who was the US president in 1970?"). Litt…

cs.CL2024

EcoRank: Budget-Constrained Text Re-ranking Using Large Language Models

Muhammad Shihab Rashid, Jannat Ara Meem, Yue Dong +1

Large Language Models (LLMs) have achieved state-of-the-art performance in text re-ranking. This process includes queries and candidate passages in the prompts, utilizing pointwise…

cs.CL2021★ 1 cited

Generalized Zero-shot Intent Detection via Commonsense Knowledge

A. B. Siddique, Fuad Jamour, Luxun Xu +1

Identifying user intents from natural language utterances is a crucial step in conversational systems that has been extensively studied as a supervised classification problem. Howe…

cs.CL2021★ 2 cited

Linguistically-Enriched and Context-Aware Zero-shot Slot Filling

A. B. Siddique, Fuad Jamour, Vagelis Hristidis

Slot filling is identifying contiguous spans of words in an utterance that correspond to certain parameters (i.e., slots) of a user request/query. Slot filling is one of the most i…

cs.CL2020★ 27 cited

Unsupervised Paraphrasing via Deep Reinforcement Learning

A. B. Siddique, Samet Oymak, Vagelis Hristidis

Paraphrasing is expressing the meaning of an input sentence in different wording while maintaining fluency (i.e., grammatical and syntactical correctness). Most existing work on pa…

cs.SE2020

App-Aware Response Synthesis for User Reviews

Umar Farooq, A. B. Siddique, Fuad Jamour +2

Responding to user reviews promptly and satisfactorily improves application ratings, which is key to application popularity and success. The proliferation of such reviews makes it…

cs.SI2013

Top-K Product Design Based on Collaborative Tagging Data

Mahashweta Das, Gautam Das, Vagelis Hristidis

The widespread use and popularity of collaborative content sites (e.g., IMDB, Amazon, Yelp, etc.) has created rich resources for users to consult in order to make purchasing decisi…