Nikhita Vedula
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
26
Venues
13
Active years
2017–2026
Best venue rank
A*
Where they publish
Papers
26 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 |
| 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 | 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 | KDD | KiL 2024: 4th International Workshop on Knowledge-infused Learning | Manas Gaur, Efthymia Tsamoura, Edward Raff, Nikhita Vedula, Srinivasan Parthasarathy |
| 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 | Faithful Low-Resource Data-to-Text Generation through Cycle Training. | Zhuoer Wang, Marcus D. Collins, Nikhita Vedula, Simone Filice, Shervin Malmasi, Oleg Rokhlenko |
| 2023 | SIGIR | Disentangling User Conversations with Voice Assistants for Online Shopping. | Nikhita Vedula, Marcus D. Collins, Oleg Rokhlenko |
| 2023 | WSDM | Generating Explainable Product Comparisons for Online Shopping. | Nikhita Vedula, Marcus D. Collins, Eugene Agichtein, Oleg Rokhlenko |
| 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 | ECIR | What Matters for Shoppers: Investigating Key Attributes for Online Product Comparison. | Nikhita Vedula, Marcus D. Collins, Eugene Agichtein, Oleg Rokhlenko |
| 2022 | EMNLP | Fact Checking Machine Generated Text with Dependency Trees. | Alex Estes, Nikhita Vedula, Marcus D. Collins, Matt Cecil, Oleg Rokhlenko |
| 2022 | ICASSP | Advin: Automatically Discovering Novel Domains and Intents from User Text Utterances. | Nikhita Vedula, Rahul Gupta, Aman Alok, Mukund Sridhar, Shankar Ananthakrishnan |
| 2021 | IJCAI | Open Intent Extraction from Natural Language Interactions (Extended Abstract). | Nikhita Vedula, Nedim Lipka, Pranav Maneriker, Srinivasan Parthasarathy |
| 2021 | WSDM | FACE-KEG: Fact Checking Explained using KnowledgE Graphs. | Nikhita Vedula, Srinivasan Parthasarathy |
| 2020 | WWW | Open Intent Extraction from Natural Language Interactions. | Nikhita Vedula, Nedim Lipka, Pranav Maneriker, Srinivasan Parthasarathy |
| 2019 | WWW | BOLT-K: Bootstrapping Ontology Learning via Transfer of Knowledge. | Nikhita Vedula, Pranav Maneriker, Srinivasan Parthasarathy |
| 2019 | SIGIR | A Pipeline for Disaster Response and Relief Coordination. | Pranav Maneriker, Nikhita Vedula, Hussein S. Al-Olimat, Jiayong Liang, Omar El-Khoury, Ethan J. Kubatko, Desheng Liu, Krishnaprasad Thirunarayan, Valerie L. Shalin, Amit P. Sheth, Srinivasan Parthasarathy |
| 2018 | SIGIR | Enriching Taxonomies With Functional Domain Knowledge. | Nikhita Vedula, Patrick K. Nicholson, Deepak Ajwani, Sourav Dutta, Alessandra Sala, Srinivasan Parthasarathy |
| 2017 | ICDM | Multimodal Content Analysis for Effective Advertisements on YouTube. | Nikhita Vedula, Wei Sun, Hyunhwan Lee, Harsh Gupta, Mitsunori Ogihara, Joseph Johnson, Gang Ren, Srinivasan Parthasarathy |