No query left behind: Query refinement via backtranslation

D Rajaei, Z Taheri, H Fani - Proceedings of the 33rd ACM International …, 2024 - dl.acm.org
Query refinement is to enhance the relevance of search results by modifying users' original
queries to refined versions. State-of-the-art query refinement models have been trained on …

[PDF][PDF] EffFix: Efficient and Effective Repair of Pointer Manipulating Programs

Y Zhang, A Costea, R Shariffdeen… - ACM Transactions on …, 2024 - rshariffdeen.com
Despite decades of efforts put into avoiding or mitigating memory safety errors (which are
errors in handling memory in native programming languages such as C), recent surveys …

Enhancing Online Grooming Detection via Backtranslation Augmentation

H Waezi, H Fani - … of the 31st International Conference on …, 2025 - aclanthology.org
Grooming minors for sexual exploitation become an increasingly significant concern in
online conversation platforms. For a safer online experience for minors, machine learning …

MAPWise: Evaluating Vision-Language Models for Advanced Map Queries

S Mukhopadhyay, A Rajgaria, P Khatiwada… - arxiv preprint arxiv …, 2024 - arxiv.org
Vision-language models (VLMs) excel at tasks requiring joint understanding of visual and
linguistic information. A particularly promising yet under-explored application for these …

Patch Space Exploration using Static Analysis Feedback

Y Zhang, A Costea, R Shariffdeen, D McCall… - arxiv preprint arxiv …, 2023 - arxiv.org
Automated Program Repair (APR) techniques typically rely on a given test-suite to guide the
repair process. Apart from the need to provide test oracles, this makes the produced patches …

Enhancing RAG's Retrieval via Query Backtranslations

D Rajaei, Z Taheri, H Fani - International Conference on Web Information …, 2024 - Springer
Retrieval-augmented generation (rag) systems extend the capabilities of generating
responses beyond the pretrained knowledge of large language models by augmenting the …