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1 <!-- end custom head snippets --></head><body> <!--[if lt IE 9]><div class="notice--danger align-center" style="margin: 0;">You are using an <strong>outdated</strong> browser. Please <a href="http://browsehappy.com/">upgrade your browser</a> to improve your experience.</div><![endif]--><div class="masthead"><div class="masthead__inner-wrap"><div class="masthead__menu"><nav id="site-nav" class="greedy-nav"> <button><div class="navicon"></div></button><ul class="visible-links"><li class="masthead__menu-item masthead__menu-item--lg"><a href="https://amparulekar.github.io/">Amruta's homepage</a></li><li class="masthead__menu-item"><a href="https://amparulekar.github.io/publications/">Publications & Presentations</a></li><li class="masthead__menu-item"><a href="https://amparulekar.github.io/portfolio/">Research Projects</a></li><li class="masthead__menu-item"><a href="https://amparulekar.github.io/cv/">Technical Projects</a></li><li class="masthead__menu-item"><a href="https://amparulekar.github.io/teaching/">Teaching & Mentoring</a></li><li class="masthead__menu-item"><a href="https://amparulekar.github.io/year-archive/">Blog</a></li></ul><ul class="hidden-links hidden"></ul></nav></div></div></div><div id="main" role="main"><div class="sidebar sticky"><div itemscope itemtype="http://schema.org/Person"><div class="author__avatar"> <img src="https://amparulekar.github.io/images/profile.png" class="author__avatar" alt="Amruta Parulekar"></div><div class="author__content"><h3 class="author__name">Amruta Parulekar</h3><p class="author__bio">CS PhD at UIUC</p></div><div class="author__urls-wrapper"> <button class="btn btn--inverse">Follow</button><ul class="author__urls social-icons"> <!-- Font Awesome icons / Biographic information --><li class="author__desktop"><i class="fa-solid fa-location-dot icon-pad-right" aria-hidden="true"></i>Champaign, Illinois, USA</li><li class="author__desktop"><i class="fa fa-solid fa-building-columns icon-pad-right" aria-hidden="true"></i>University of Illinois Urbana-Champaign</li><li><a href="mailto:[email protected]"><i class="fas fa-fw fa-envelope icon-pad-right" aria-hidden="true"></i>Email</a></li><!-- Font Awesome and Academicons icons / Academic websites --><li><a href="https://scholar.google.com/citations?user=Zz0ktaUAAAAJ&hl=en"><i class="ai ai-google-scholar icon-pad-right"></i>Google Scholar</a></li><li><a href="https://www.researchgate.net/profile/Amruta-Parulekar"><i class="fab fa-fw fa-researchgate icon-pad-right" aria-hidden="true"></i>ResearchGate</a></li><!-- Font Awesome icons / Repositories and software development --><li><a href="https://github.com/Amparulekar"><i class="fab fa-fw fa-github icon-pad-right" aria-hidden="true"></i>Github</a></li><!-- Font Awesome icons / Social media --><li><a href="https://www.linkedin.com/in/amruta-parulekar-735976221"><i class="fab fa-fw fa-linkedin icon-pad-right" aria-hidden="true"></i>LinkedIn</a></li><li><a href="https://twitter.com/Amparulekar2"><i class="fab fa-fw fa-x-twitter icon-pad-right" aria-hidden="true"></i>X (formerly Twitter)</a></li></ul></div></div></div><div class="archive"><h1 class="page__title">Publications and Presentations</h1><div class="wordwrap">You can also find my articles on <a href="https://scholar.google.com/citations?user=Zz0ktaUAAAAJ&amp;hl=en">my Google Scholar profile</a>.</div><h2 id="publications">Publications</h2><div class="list__item"><article class="archive__item" itemscope="" itemtype="http://schema.org/CreativeWork"><h2 class="archive__item-title" itemprop="headline"> <a href="https://amparulekar.github.io/publication/6" rel="permalink">LASER: An LLM-based ASR Scoring and Evaluation Rubric </a></h2><p><i>Published at EMNLP 2025 (Main conference)</i>, 2025</p><p class="archive__item-excerpt" itemprop="description"><p>LASER is an LLM-based ASR evaluation metric that aligns closely with human judgments by capturing linguistic nuances across Indian languages better than traditional metrics.</p></p><p>Recommended citation: Amruta Parulekar and Preethi Jyothi. 2025. LASER: An LLM-based ASR Scoring and Evaluation Rubric. In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, pages 24773–24782, Suzhou, China. Association for Computational Linguistics.<br /><a href="https://arxiv.org/pdf/2510.07437">Download Paper</a> | <a href="http://amparulekar.github.io/files/EMNLP-2025_main-2768_POSTER.pdf">Download Slides</a></p></article></div><div class="list__item"><article class="archive__item" itemscope="" itemtype="http://schema.org/CreativeWork"><h2 class="archive__item-title" itemprop="headline"> <a href="https://amparulekar.github.io/publication/5" rel="permalink">AMPS: ASR with Multimodal Paraphrase Supervision </a></h2><p><i>Published at NAACL 2025 (Main conference)</i>, 2025</p><p class="archive__item-excerpt" itemprop="description"><p>Integrated paraphrase supervision in a multimodal pipeline to improve Automatic Speech Recognition for spontaneous and disfluent speech.</p></p><p>Recommended citation: Abhishek Gupta, Amruta Parulekar, Sameep Chattopa

1dhyay, and Preethi Jyothi. 2025. AMPS: ASR with Multimodal Paraphrase Supervision. In Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers), pages 404–413, Albuquerque, New Mexico. Association for Computational Linguistics.<br /><a href="https://arxiv.org/pdf/2411.18368">Download Paper</a> | <a href="http://amparulekar.github.io/files/NAACL_2025_564_AMPS.pdf">Download Slides</a></p></article></div><div class="list__item"><article class="archive__item" itemscope="" itemtype="http://schema.org/CreativeWork"><h2 class="archive__item-title" itemprop="headline"> <a href="https://amparulekar.github.io/publication/4" rel="permalink">PathoGen-X: A Cross-Modal Genomic Feature Trans-Align Network for Enhanced Survival Prediction from Histopathology Images </a></h2><p><i>Published at IEEE ISBI 2025 (International Symposium on Biomedical Imaging)</i>, 2025</p><p class="archive__item-excerpt" itemprop="description"><p>Developed PathoGen-X, a transformer-based framework that translates histopathology image features into the genomic feature space for improved survival prediction without requiring paired genomic data at testing.</p></p><p>Recommended citation: A. Krishna, N. C. Kurian, A. Patil, A. Parulekar, P. J. P and A. Sethi, "Pathogen-X: A Cross-Modal Genomic Feature Trans-Align Network for Enhanced Survival Prediction from Histopathology Images," 2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI), Houston, TX, USA, 2025, pp. 1-4, doi: 10.1109/ISBI60581.2025.10981028.<br /><a href="https://arxiv.org/pdf/2411.00749">Download Paper</a> | <a href="http://amparulekar.github.io/files/isbi25-poster-temp-9.pdf">Download Slides</a></p></article></div><div class="list__item"><article class="archive__item" itemscope="" itemtype="http://schema.org/CreativeWork"><h2 class="archive__item-title" itemprop="headline"> <a href="https://amparulekar.github.io/publication/2" rel="permalink">Parameter-efficient Adaptation of Multilingual Multimodal Models for Low-resource ASR </a></h2><p><i>Published at the 4th Multilingual Representation Learning Workshop, EMNLP 2024</i>, 2024</p><p class="archive__item-excerpt" itemprop="description"><p>Combining computationally efficient techniques like speech-based parameter-efficient finetuning and text-only adaptation to improve automatic speech recognition of low resource languages using multimodal multilingual models.</p></p><p>Recommended citation: Abhishek Gupta, Amruta Parulekar, Sameep Chattopadhyay, and Preethi Jyothi. 2024. Parameter-efficient Adaptation of Multilingual Multimodal Models for Low-resource ASR. In Proceedings of the Fourth Workshop on Multilingual Representation Learning (MRL 2024), pages 175–185, Miami, Florida, USA. Association for Computational Linguistics.<br /><a href="https://arxiv.org/pdf/2410.13445">Download Paper</a> | <a href="http://amparulekar.github.io/files/MRL_poster.pdf">Download Slides</a></p></article></div><div class="list__item"><article class="archive__item" itemscope="" itemtype="http://schema.org/CreativeWork"><h2 class="archive__item-title" itemprop="headline"> <a href="https://amparulekar.github.io/publication/1" rel="permalink">Combining Datasets with Different Label Sets for Improved Nucleus Segmentation and Classification </a></h2><p><i>Published and presented in Bioimaging (BIOSTEC), Rome</i>, 2024</p><p class="archive__item-excerpt" itemprop="description"><p>A novel loss function and training technique that can be integrated with a multitude of architectures, for consolidating class labels of different nuclei segmentation and classification datasets.</p></p><p>Recommended citation: Parulekar A., Kanwat U., Gupta R., Chippa M., Jacob T., Bameta T., Rane S. and Sethi A. (2024). Combining Datasets with Different Label Sets for Improved Nucleus Segmentation and Classification. In Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: BIOIMAGING; ISBN 978-989-758-688-0, SciTePress, pages 281-288. DOI: 10.5220/0012380800003657<br /><a href="https://www.scitepress.org/Papers/2024/123808/123808.pdf">Download Paper</a> | <a href="http://amparulekar.github.io/files/Bioimaging2024.pdf">Download Slides</a></p></article></div><div class="list__item"><article class="archive__item" itemscope="" itemtype="http://schema.org/CreativeWork"><h2 class="archive__item-title" itemprop="headline"> <a href="https://amparulekar.github.io/publication/3" rel="permalink">Towards improving breast cancer detection through multi-modal image generation </a></h2><p><i>Published in the Ultrasonics journal</i>, 2023</p><p class="archive__item-excerpt" itemprop="description"><p>Interconversion of CT scans and ultrasounds using wave interference patterns, GANs and fourier domain adaptation.</p></p><p>Recommended citation: Almahfouz Nasser S, Sharma A, Saraf A, Parulekar A, Haria P, Sethi A. Towards improving breast cancer detection through multi-modal image generation. Ultrasonics. 2025 Sep;153:107655. doi: 10.1016/j.ultras.2025.107655. Epub 2025 Apr 15. PMID: 40262439.<br /><a href="https://arxiv.org/pdf/2308.05449">Download Paper</a></p></article></div><h2 id="presentations">Presentations</h2><div class="list__item"><article class="archive__item" itemscope="" itemtype="http://schema.org/CreativeWork"><h2 class="archive__item-title" itemprop="headline"> <a href="https://amparulekar.github.io/publication/6" rel="permalink">A Computer Vision Pipeline for Laryngoscopic Image Standardization through Histogram Matching </a></h2><p><i>Poster presented in the 145th American Laryngological Association meet (COSM), Chicago</i>, 2024</p><p class="archive__item-excerpt" itemprop="description"><p>A preprocessing pipeline for larynogoscopic videos that includes removal of unusable frames, illumination correction, specularity removal and finally color transfer to a target intensity distribution.</p></p><p>Recommended citation: Parulekar A., Wiercigroch J., Kahrs L. A. and Lin R. J. (2024). A Computer Vision Pipeline for Laryngoscopic Image Standardization through Histogram Matching.<br /><a href="https://medcvr.utm.utoronto.ca/ala2024-histogrammatching.html">Download Slides</a></p></article></div><div class="list__item"><article class="archive__item" itemscope="" itemtype="http://schema.org/CreativeWork"><h2 class="archive__item-title" itemprop="headline"> <a href="https://amparulekar.github.io/publication/5" rel="permalink">Artificial Intelligence-based Eosinophil Count in Gastrointestinal Tract Biopsy </a></h2><p><i>Poster presented in the American Gatroenterology Association meet (DDW), Chicago and published in the Gastroenterology journal</i>, 2023</p><p class="archive__item-excerpt" itemprop="description"><p>An eosinophila detection model conquering severe class imbalance built using UNet architecture.</p></p><p>Recommended citation: Shah H.C., Amarpurkar A.D., Jacob T., Parulekar A.M. and Sethi A. (2023). EP178 ARTIFICIAL INTELLIGENCE BASED EOSINOPHIL COUNT IN GASTROINTESTINAL TRACT BIOPSY. Gastroenterology, 164(6), pp.S-1229.<br /><a href="https://arxiv.org/pdf/2211.15667">Download Paper</a> | <a href="https://www.sciencedirect.com/science/article/abs/pii/S0016508523038532">Download Slides</a></p></article></div></div></div><div class="page__footer"><footer> <!-- start custom footer snippets --> <a href="/sitemap/">Sitemap</a> <!-- end custom footer snippets --><div class="page__footer-follow"><ul class="social-icons"><li><strong>Follow:</strong></li><li><a href="http://github.com/Amparulekar"><i class="fab fa-github" aria-hidden="true"></i> GitHub</a></li><li><a href="https://amparulekar.github.io/feed.xml"><i class="fa fa-fw fa-rss-square" aria-hidden="true"></i> Feed</a></li></ul></div><div class="page__footer-copyright">&copy; 2026 Amruta Parulekar. 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