Siddharth Vashishtha

sidvash_swiss.jpg

Software Engineer

Pronouns: he/him

Hi! I am Sid, a Software Engineer at Google Gemini.

I recently completed my Ph.D. in Computer Science at the University of Rochester advised by Aaron White.

My Ph.D. focussed on extracting information about events from document collections. During my Ph.D., I also worked on building models for extracting other types of semantic information related to events – event triggers, event chronology, event duration etc.

My papers are listed on the publications page. Full list of publications can be found at Semantic Scholar/Google Scholar

Work Experience

Google Gemini Software Engineer (Nov 2023 - Present)

Developing advanced AI models for tool use in Gemini.

Google Assistant Research Intern (Summer 2022)

Conducted research on parsing realistic task-oriented dialogs. Published and presented a paper at EMNLP 2023.

Verneek.ai NLP Research Intern (Summer 2021)

Developed NLP models on semantic parsing and closed-domain natural language generation.

Amazon Alexa AI Applied Scientist Intern (Summer 2020)

Worked with Alexa NLU team on Cross-Lingual Transfer Learning.

EXL Analytics Senior Consultant/Consultant (2014-2017)

Worked on multiple projects with various retail banking clients on: report automation with SAS and Excel VBA (front-end and back-end), engineering features and developing ML models on customer data for mitigating risk in credit card portfolios

selected publications

  1. NAACL
    FAMuS: Frames Across Multiple Sources
    Siddharth Vashishtha, Alexander Martin, William Gantt, and 2 more authors
    In Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), Jun 2024
  2. EMNLP
    PRESTO: A Multilingual Dataset for Parsing Realistic Task-Oriented Dialogs
    Rahul Goel, Waleed Ammar, Aditya Gupta, and 13 more authors
    In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, Dec 2023
  3. ACL
    Fine-Grained Temporal Relation Extraction
    Siddharth Vashishtha, Benjamin Van Durme, and Aaron Steven White
    In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, Jul 2019
  4. EMNLP Findings
    Temporal Reasoning in Natural Language Inference
    Siddharth Vashishtha, Adam Poliak, Yash Kumar Lal, and 2 more authors
    In Findings of the Association for Computational Linguistics: EMNLP, Nov 2020