- August 2024: Organizing the 4th workshop on "Knowledge-infused Learning (Towards Consistent, Reliable, Explainable, and Safe LLMs)" at KDD 2024 in Barcelona, Spain
- July 2024: Paper "Question suggestion for conversational shopping assistants using product metadata" accepted at SIGIR 2024 in Washington D.C.
- March 2024: Paper "Leveraging Interesting Facts to Enhance User Engagement with Conversational Interfaces" accepted at NAACL 2024 in Mexico
- May 2023: Paper "Faithful Low-Resource Data-to-Text Generation through Cycle Training" received the Outstanding Paper Award at ACL 2023 in Toronto, Canada
- April 2023: Paper "Disentangling User Conversations with Voice Assistants for Online Shopping" accepted at SIGIR 2023 in Taipei, Taiwan
- October 2022: Paper "Generating Explainable Product Comparisons for Online Shopping" accepted at WSDM 2023 in Singapore
- September 2022: Paper "Fact Checking Machine Generated Text with Dependency Trees" accepted at EMNLP 2022 (industry track) in Abu Dhabi, UAE
- August 2022: Paper "Wizard of Tasks: A Novel Conversational Dataset for Solving Real-World Tasks in Conversational Settings" accepted for oral presentation at COLING 2022 in Gyeongju, South Korea
- May 2022: Invited talk at Lehigh University (virtual)
- January 2022: Work "ADVIN: Automatically Discovering Novel Domains and Intents from User Utterances" accepted at ICASSP 2022 in Singapore for oral presentation
- November 2021: Work "What Matters for Shoppers: Investigating Key Attributes for Product Comparison" accepted at ECIR 2022 in Norway
- August 2021: Work "Open Intent Discovery from Natural Language Interactions" invited for a presentation at the Sister Conferences Best Papers Track of IJCAI 2021 in Montreal (virtual)
- March 2021: Panelist at the Amazon Science panel at WSDM 2021 in Israel (virtual)
- March 2021: Work "FACE-KEG: Fact Checking Explained using Knowledge Graphs" received a Best Paper Honorable Mention at WSDM 2021 in Israel (virtual)
- December 2020: Invited talk at Georgia State University (virtual)
- September 2020: Invited talk at the University of South Carolina (virtual)
- September 2020: Invited to present PhD work at the Microsoft AI Breakthroughs Workshop (virtual)
- August 2020: Started as an Applied Scientist with the Alexa Shopping Science Team at Amazon
- August 2020: Completed PhD in Computer Science at Ohio State University
- May 2020: Work "Open Intent Discovery from Natural Language Interactions" received the Best Paper Award at The Web C
Research Experience
- Applied Scientist at Amazon
- Interned at Amazon, Adobe Research, Nokia Bell Labs (Ireland), and Indian Institute of Technology (IIT Bombay)
Education
- PhD in Computer Science and Engineering, Ohio State University (OSU), August 2020
- Advisor: Prof. Srinivasan Parthasarathy
Background
- Research Interests: Natural Language Processing, Machine Learning, Information Retrieval, and Social Computing
- Specific Focus: LLMs, NLP, NLU and NLG (e.g., intent discovery, summarization, fact checking, and question answering), Conversational AI, Knowledge Representation and Reasoning, Human Behavior Understanding