Nikhita Vedula

40 papers A* 9A 2B 1Misc 1Journal 14Unranked 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Modular LLM Framework for Explainable Price Outlier Detection.
CoRR
Shadi Sartipi, John Wu, Sina Ghotbi, Nikhita Vedula, Shervin Malmasi
2025 — conf
Generative Product Recommendations for Implicit Superlative Queries.
NAACL (Student Research Workshop)
Kaustubh D. Dhole, Nikhita Vedula, Saar Kuzi, Giuseppe Castellucci, Eugene Agichtein, Shervin Malmasi
2025 J jnl
Generative Product Recommendations for Implicit Superlative Queries.
CoRR
Kaustubh D. Dhole, Nikhita Vedula, Saar Kuzi, Giuseppe Castellucci, Eugene Agichtein, Shervin Malmasi
2025 — conf
Hint-Augmented Re-ranking: Efficient Product Search using LLM-Based Query Decomposition.
IJCNLP-AACL (Short Papers)
Yilun Zhu, Nikhita Vedula, Shervin Malmasi
2025 J jnl
Hint-Augmented Re-ranking: Efficient Product Search using LLM-Based Query Decomposition.
CoRR
Yilun Zhu, Nikhita Vedula, Shervin Malmasi
2025 — ed.
Proceedings of the Workshop on Knowledge-infused Learning co-located with 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Barcelona, Spain, August 26, 2024.
KiL@KDD
Manas Gaur, Efthymia Tsamoura, Edward Raff, Nikhita Vedula, Srinivasan Parthasarathy
2025 — conf
Quantile Regression with Large Language Models for Price Prediction.
ACL (Findings)
Nikhita Vedula, Dushyanta Dhyani, Laleh Jalali, Boris N. Oreshkin, Mohsen Bayati, Shervin Malmasi
2025 J jnl
Quantile Regression with Large Language Models for Price Prediction.
CoRR
Nikhita Vedula, Dushyanta Dhyani, Laleh Jalali, Boris N. Oreshkin, Mohsen Bayati, Shervin Malmasi
2025 — conf
Wizard of Shopping: Target-Oriented E-commerce Dialogue Generation with Decision Tree Branching.
ACL (1)
Xiangci Li, Zhiyu Chen, Jason Ingyu Choi, Nikhita Vedula, Besnik Fetahu, Oleg Rokhlenko, Shervin Malmasi
2025 J jnl
Wizard of Shopping: Target-Oriented E-commerce Dialogue Generation with Decision Tree Branching.
CoRR
Xiangci Li, Zhiyu Chen, Jason Ingyu Choi, Nikhita Vedula, Besnik Fetahu, Oleg Rokhlenko, Shervin Malmasi
2024 — conf
Generative Explore-Exploit: Training-free Optimization of Generative Recommender Systems using LLM Optimizers.
ACL (1)
Lütfi Kerem Senel, Besnik Fetahu, Davis Yoshida, Zhiyu Chen, Giuseppe Castellucci, Nikhita Vedula, Jason Ingyu Choi, Shervin Malmasi
2024 J jnl
Generative Explore-Exploit: Training-free Optimization of Generative Recommender Systems using LLM Optimizers.
CoRR
Lütfi Kerem Senel, Besnik Fetahu, Davis Yoshida, Zhiyu Chen, Giuseppe Castellucci, Nikhita Vedula, Jason Ingyu Choi, Shervin Malmasi
2024 — conf
Instant Answering in E-Commerce Buyer-Seller Messaging Using Message-to-Question Reformulation.
ECIR (4)
Besnik Fetahu, Tejas Mehta, Qun Song, Nikhita Vedula, Oleg Rokhlenko, Shervin Malmasi
2024 J jnl
Instant Answering in E-Commerce Buyer-Seller Messaging using Message-to-Question Reformulation.
CoRR
Besnik Fetahu, Tejas Mehta, Qun Song, Nikhita Vedula, Oleg Rokhlenko, Shervin Malmasi
2024 A* conf
KiL 2024: 4th International Workshop on Knowledge-infused Learning
KDD
Manas Gaur, Efthymia Tsamoura, Edward Raff, Nikhita Vedula, Srinivasan Parthasarathy
2024 — conf
Leveraging Interesting Facts to Enhance User Engagement with Conversational Interfaces.
NAACL (Industry Track)
Nikhita Vedula, Giuseppe Castellucci, Eugene Agichtein, Oleg Rokhlenko, Shervin Malmasi
2024 J jnl
Leveraging Interesting Facts to Enhance User Engagement with Conversational Interfaces.
CoRR
Nikhita Vedula, Giuseppe Castellucci, Eugene Agichtein, Oleg Rokhlenko, Shervin Malmasi
2024 A* conf
Question Suggestion for Conversational Shopping Assistants Using Product Metadata.
SIGIR
Nikhita Vedula, Oleg Rokhlenko, Shervin Malmasi
2024 J jnl
Question Suggestion for Conversational Shopping Assistants Using Product Metadata.
CoRR
Nikhita Vedula, Oleg Rokhlenko, Shervin Malmasi
2023 A* conf
Disentangling User Conversations with Voice Assistants for Online Shopping.
SIGIR
Nikhita Vedula, Marcus D. Collins, Oleg Rokhlenko
2023 — conf
Faithful Low-Resource Data-to-Text Generation through Cycle Training.
ACL (1)
Zhuoer Wang, Marcus D. Collins, Nikhita Vedula, Simone Filice, Shervin Malmasi, Oleg Rokhlenko
2023 J jnl
Faithful Low-Resource Data-to-Text Generation through Cycle Training.
CoRR
Zhuoer Wang, Marcus D. Collins, Nikhita Vedula, Simone Filice, Shervin Malmasi, Oleg Rokhlenko
2023 A conf
Generating Explainable Product Comparisons for Online Shopping.
WSDM
Nikhita Vedula, Marcus D. Collins, Eugene Agichtein, Oleg Rokhlenko
2022 Misc conf
Advin: Automatically Discovering Novel Domains and Intents from User Text Utterances.
ICASSP
Nikhita Vedula, Rahul Gupta, Aman Alok, Mukund Sridhar, Shankar Ananthakrishnan
2022 — conf
Fact Checking Machine Generated Text with Dependency Trees.
EMNLP (Industry Track)
Alex Estes, Nikhita Vedula, Marcus D. Collins, Matt Cecil, Oleg Rokhlenko
2022 — conf
What Matters for Shoppers: Investigating Key Attributes for Online Product Comparison.
ECIR (2)
Nikhita Vedula, Marcus D. Collins, Eugene Agichtein, Oleg Rokhlenko
2022 B conf
Wizard of Tasks: A Novel Conversational Dataset for Solving Real-World Tasks in Conversational Settings.
COLING
Jason Ingyu Choi, Saar Kuzi, Nikhita Vedula, Jie Zhao, Giuseppe Castellucci, Marcus D. Collins, Shervin Malmasi, Oleg Rokhlenko, Eugene Agichtein
2021 A conf
FACE-KEG: Fact Checking Explained using KnowledgE Graphs.
WSDM
Nikhita Vedula, Srinivasan Parthasarathy
2021 J jnl
Modeling knowledge and functional intent for context-aware pragmatic analysis.
SIGWEB Newsl.
Nikhita Vedula
2021 A* conf
Open Intent Extraction from Natural Language Interactions (Extended Abstract).
IJCAI
Nikhita Vedula, Nedim Lipka, Pranav Maneriker, Srinivasan Parthasarathy
2020 J jnl
Automatic Discovery of Novel Intents & Domains from Text Utterances.
CoRR
Nikhita Vedula, Rahul Gupta, Aman Alok, Mukund Sridhar
2020 A* conf
Open Intent Extraction from Natural Language Interactions.
WWW
Nikhita Vedula, Nedim Lipka, Pranav Maneriker, Srinivasan Parthasarathy
2019 A* conf
A Pipeline for Disaster Response and Relief Coordination.
SIGIR
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
2019 A* conf
BOLT-K: Bootstrapping Ontology Learning via Transfer of Knowledge.
WWW
Nikhita Vedula, Pranav Maneriker, Srinivasan Parthasarathy
2019 J jnl
Towards Open Intent Discovery for Conversational Text.
CoRR
Nikhita Vedula, Nedim Lipka, Pranav Maneriker, Srinivasan Parthasarathy
2018 A* conf
Enriching Taxonomies With Functional Domain Knowledge.
SIGIR
Nikhita Vedula, Patrick K. Nicholson, Deepak Ajwani, Sourav Dutta, Alessandra Sala, Srinivasan Parthasarathy
2017 — conf
Emotional and Linguistic Cues of Depression from Social Media.
DH
Nikhita Vedula, Srinivasan Parthasarathy
2017 A* conf
Multimodal Content Analysis for Effective Advertisements on YouTube.
ICDM
Nikhita Vedula, Wei Sun, Hyunhwan Lee, Harsh Gupta, Mitsunori Ogihara, Joseph Johnson, Gang Ren, Srinivasan Parthasarathy
2017 J jnl
Multimodal Content Analysis for Effective Advertisements on YouTube.
CoRR
Nikhita Vedula, Wei Sun, Hyunhwan Lee, Harsh Gupta, Mitsunori Ogihara, Joseph Johnson, Gang Ren, Srinivasan Parthasarathy
2017 — conf
Predicting Trust Relations Within a Social Network: A Case Study on Emergency Response.
WebSci
Nikhita Vedula, Srinivasan Parthasarathy, Valerie L. Shalin