Shervin Malmasi
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
57
Venues
17
Active years
2014–2026
Best venue rank
A*
Where they publish
Papers
57 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Breaking the Autoregressive Chain: Hyper-Parallel Decoding for Efficient LLM-Based Attribute Value Extraction. | Theodore Glavas, Nikhita Vedula, Dushyanta Dhyani, Yilun Zhu, Shervin Malmasi |
| 2026 | ACL | Text-to-Distribution Prediction with Quantile Tokens and Neighbor Context. | Yilun Zhu, Yuan Zhuang, Nikhita Vedula, Dushyanta Dhyani, Shaoyuan Xu, Mohsen Bayati, Bryan Wang, Shervin Malmasi |
| 2026 | SIGIR | From Unstructured to Structured: LLM-Guided Attribute Graphs for Entity Search and Ranking. | Yilun Zhu, Nikhita Vedula, Shervin Malmasi |
| 2025 | ACL | Wizard of Shopping: Target-Oriented E-commerce Dialogue Generation with Decision Tree Branching. | Xiangci Li, Zhiyu Chen, Jason Ingyu Choi, Nikhita Vedula, Besnik Fetahu, Oleg Rokhlenko, Shervin Malmasi |
| 2025 | ACL | Quantile Regression with Large Language Models for Price Prediction. | Nikhita Vedula, Dushyanta Dhyani, Laleh Jalali, Boris N. Oreshkin, Mohsen Bayati, Shervin Malmasi |
| 2025 | IJCNLP | Hint-Augmented Re-ranking: Efficient Product Search using LLM-Based Query Decomposition. | Yilun Zhu, Nikhita Vedula, Shervin Malmasi |
| 2025 | NAACL | Generative Product Recommendations for Implicit Superlative Queries. | Kaustubh D. Dhole, Nikhita Vedula, Saar Kuzi, Giuseppe Castellucci, Eugene Agichtein, Shervin Malmasi |
| 2025 | NAACL | Multilingual Native Language Identification with Large Language Models. | Dhiman Goswami, Marcos Zampieri, Kai North, Shervin Malmasi, Antonios Anastasopoulos |
| 2024 | ACL | Generative Explore-Exploit: Training-free Optimization of Generative Recommender Systems using LLM Optimizers. | Ltfi Kerem Senel, Besnik Fetahu, Davis Yoshida, Zhiyu Chen, Giuseppe Castellucci, Nikhita Vedula, Jason Ingyu Choi, Shervin Malmasi |
| 2024 | COLING | Enhancing Low-Resource LLMs Classification with PEFT and Synthetic Data. | Parth Patwa, Simone Filice, Zhiyu Chen, Giuseppe Castellucci, Oleg Rokhlenko, Shervin Malmasi |
| 2024 | ECIR | Instant Answering in E-Commerce Buyer-Seller Messaging Using Message-to-Question Reformulation. | Besnik Fetahu, Tejas Mehta, Qun Song, Nikhita Vedula, Oleg Rokhlenko, Shervin Malmasi |
| 2024 | ECIR | Controllable Decontextualization of Yes/No Question and Answers into Factual Statements. | Lingbo Mo, Besnik Fetahu, Oleg Rokhlenko, Shervin Malmasi |
| 2024 | EMNLP | Identifying High Consideration E-Commerce Search Queries. | Zhiyu Chen, Jason Ingyu Choi, Besnik Fetahu, Shervin Malmasi |
| 2024 | NAACL | Native Language Identification in Texts: A Survey. | Dhiman Goswami, Sharanya Thilagan, Kai North, Shervin Malmasi, Marcos Zampieri |
| 2024 | NAACL | Leveraging Interesting Facts to Enhance User Engagement with Conversational Interfaces. | Nikhita Vedula, Giuseppe Castellucci, Eugene Agichtein, Oleg Rokhlenko, Shervin Malmasi |
| 2024 | SIGIR | Question Suggestion for Conversational Shopping Assistants Using Product Metadata. | Nikhita Vedula, Oleg Rokhlenko, Shervin Malmasi |
| 2023 | ACL | Generate-then-Retrieve: Intent-Aware FAQ Retrieval in Product Search. | Zhiyu Chen, Jason Ingyu Choi, Besnik Fetahu, Oleg Rokhlenko, Shervin Malmasi |
| 2023 | ACL | Answering Unanswered Questions through Semantic Reformulations in Spoken QA. | Pedro Faustini, Zhiyu Chen, Besnik Fetahu, Oleg Rokhlenko, Shervin Malmasi |
| 2023 | ACL | Faithful Low-Resource Data-to-Text Generation through Cycle Training. | Zhuoer Wang, Marcus D. Collins, Nikhita Vedula, Simone Filice, Shervin Malmasi, Oleg Rokhlenko |
| 2023 | EMNLP | MultiCoNER v2: a Large Multilingual dataset for Fine-grained and Noisy Named Entity Recognition. | Besnik Fetahu, Zhiyu Chen, Sudipta Kar, Oleg Rokhlenko, Shervin Malmasi |
| 2023 | EMNLP | InstructPTS: Instruction-Tuning LLMs for Product Title Summarization. | Besnik Fetahu, Zhiyu Chen, Oleg Rokhlenko, Shervin Malmasi |
| 2023 | EMNLP | Follow-on Question Suggestion via Voice Hints for Voice Assistants. | Besnik Fetahu, Pedro Faustini, Anjie Fang, Giuseppe Castellucci, Oleg Rokhlenko, Shervin Malmasi |
| 2023 | ICLR | A Simple Loss Function for Convergent Algorithm Synthesis using RNNs. | Alexandre Salle, Shervin Malmasi |
| 2023 | Interspeech | Composing Spoken Hints for Follow-on Question Suggestion in Voice Assistants. | Pedro Faustini, Besnik Fetahu, Giuseppe Castellucci, Anjie Fang, Oleg Rokhlenko, Shervin Malmasi |
| 2023 | KDD | The 6th Workshop on e-eommerce and NLP (ECNLP 6). | Shervin Malmasi, Besnik Fetahu, Eugene Agichtein, Oleg Rokhlenko, Ido Guy, Nicola Ueffing, Surya Kallumadi |
| 2023 | SIGIR | eCom'23: The SIGIR 2023 Workshop on eCommerce. | Surya Kallumadi, Yubin Kim, Tracy Holloway King, Shervin Malmasi, Maarten de Rijke, Jacopo Tagliabue |
| 2022 | COLING | Wizard of Tasks: A Novel Conversational Dataset for Solving Real-World Tasks in Conversational Settings. | Jason Ingyu Choi, Saar Kuzi, Nikhita Vedula, Jie Zhao, Giuseppe Castellucci, Marcus D. Collins, Shervin Malmasi, Oleg Rokhlenko, Eugene Agichtein |
| 2022 | COLING | MultiCoNER: A Large-scale Multilingual Dataset for Complex Named Entity Recognition. | Shervin Malmasi, Anjie Fang, Besnik Fetahu, Sudipta Kar, Oleg Rokhlenko |
| 2022 | EMNLP | Reinforced Question Rewriting for Conversational Question Answering. | Zhiyu Chen, Jie Zhao, Anjie Fang, Besnik Fetahu, Oleg Rokhlenko, Shervin Malmasi |
| 2022 | EMNLP | Distilling Multilingual Transformers into CNNs for Scalable Intent Classification. | Besnik Fetahu, Akash Veeragouni, Oleg Rokhlenko, Shervin Malmasi |
| 2022 | EMNLP | CycleKQR: Unsupervised Bidirectional Keyword-Question Rewriting. | Andrea Iovine, Anjie Fang, Besnik Fetahu, Jie Zhao, Oleg Rokhlenko, Shervin Malmasi |
| 2022 | KDD | Preventing Catastrophic Forgetting in Continual Learning of New Natural Language Tasks. | Sudipta Kar, Giuseppe Castellucci, Simone Filice, Shervin Malmasi, Oleg Rokhlenko |
| 2022 | NAACL | Dynamic Gazetteer Integration in Multilingual Models for Cross-Lingual and Cross-Domain Named Entity Recognition. | Besnik Fetahu, Anjie Fang, Oleg Rokhlenko, Shervin Malmasi |
| 2022 | WWW | CycleNER: An Unsupervised Training Approach for Named Entity Recognition. | Andrea Iovine, Anjie Fang, Besnik Fetahu, Oleg Rokhlenko, Shervin Malmasi |
| 2022 | SIGIR | eCom'22: The SIGIR 2022 Workshop on eCommerce. | Ajinkya Kale, Surya Kallumadi, Tracy Holloway King, Shervin Malmasi, Maarten de Rijke, Jacopo Tagliabue |
| 2021 | ECIR | Studying the Effectiveness of Conversational Search Refinement Through User Simulation. | Alexandre Salle, Shervin Malmasi, Oleg Rokhlenko, Eugene Agichtein |
| 2021 | NAACL | GEMNET: Effective Gated Gazetteer Representations for Recognizing Complex Entities in Low-context Input. | Tao Meng, Anjie Fang, Oleg Rokhlenko, Shervin Malmasi |
| 2021 | SIGIR | Gazetteer Enhanced Named Entity Recognition for Code-Mixed Web Queries. | Besnik Fetahu, Anjie Fang, Oleg Rokhlenko, Shervin Malmasi |
| 2021 | SIGIR | ECOM'21: The SIGIR 2021 Workshop on eCommerce. | Surya Kallumadi, Tracy Holloway King, Shervin Malmasi, Maarten de Rijke |
| 2020 | SIGIR | ECOM'20: The SIGIR 2020 Workshop on eCommerce. | Dietmar Jannach, Surya Kallumadi, Tracy Holloway King, Weihua Luo, Shervin Malmasi |
| 2020 | WSDM | ConvERSe'20: The WSDM 2020 Workshop on Conversational Systems for E-Commerce Recommendations and Search. | Eugene Agichtein, Dilek Hakkani-Tr, Surya Kallumadi, Shervin Malmasi |
| 2019 | NAACL | Predicting the Type and Target of Offensive Posts in Social Media. | Marcos Zampieri, Shervin Malmasi, Preslav Nakov, Sara Rosenthal, Noura Farra, Ritesh Kumar |
| 2018 | AMIA | Canary: an Information Extraction Platform for Researchers and Clinicians. | Shervin Malmasi, Alexander Turchin |
| 2018 | COLING | Benchmarking Aggression Identification in Social Media. | Ritesh Kumar, Atul Kr. Ojha, Shervin Malmasi, Marcos Zampieri |
| 2017 | ACL | Feature Hashing for Language and Dialect Identification. | Shervin Malmasi, Mark Dras |
| 2017 | ACL | Unsupervised Text Segmentation Based on Native Language Characteristics. | Shervin Malmasi, Mark Dras, Mark Johnson, Lan Du, Magdalena Wolska |
| 2017 | AMIA | Extracting Healthcare Quality Information from Unstructured Data. | Shervin Malmasi, Naoshi Hosomura, Lee-Shing Chang, C. J. Brown, Stephen Skentzos, Alexander Turchin |
| 2017 | AMIA | Canary: An Information Extraction Platform for Clinical Researchers. | Shervin Malmasi, Nicolae L. Sandor, Naoshi Hosomura, Matt Goldberg, Stephen Skentzos, Alexander Turchin |
| 2017 | ICAIL | Exploring the Use of Text Classification in the Legal Domain. | Octavia-Maria Sulea, Marcos Zampieri, Shervin Malmasi, Mihaela Vela, Liviu P. Dinu, Josef van Genabith |
| 2017 | RANLP | Detecting Hate Speech in Social Media. | Shervin Malmasi, Marcos Zampieri |
| 2016 | LREC | Discriminating Similar Languages: Evaluations and Explorations. | Cyril Goutte, Serge Lger, Shervin Malmasi, Marcos Zampieri |
| 2016 | LREC | Modeling Language Change in Historical Corpora: The Case of Portuguese. | Marcos Zampieri, Shervin Malmasi, Mark Dras |
| 2016 | NAACL | Predicting Post Severity in Mental Health Forums. | Shervin Malmasi, Marcos Zampieri, Mark Dras |
| 2015 | NAACL | Large-Scale Native Language Identification with Cross-Corpus Evaluation. | Shervin Malmasi, Mark Dras |
| 2015 | RANLP | Norwegian Native Language Identification. | Shervin Malmasi, Mark Dras, Irina P. Temnikova |
| 2014 | EACL | Chinese Native Language Identification. | Shervin Malmasi, Mark Dras |
| 2014 | EMNLP | Language Transfer Hypotheses with Linear SVM Weights. | Shervin Malmasi, Mark Dras |