PeopleofSuperintelligence

Researcher

Apoorv Kulshreshtha

Apoorv Kulshreshtha has worked on open-domain chat, dialog language models, multimodal generation, and content screening. He co-authored the Meena chatbot study in 2020 and LaMDA, a dialog-focused language-model family, in 2022. A Google patent named him as an inventor in 2024 for multimodal response generation with large language models, and he appeared among the authors of a 2025 Gemini 2.5 report. As of October 2026, he is named as an inventor on a Google patent application for retrieval-oriented content screening.

Works
3
Citations
1,455
h-index
3

Publication numbers from OpenAlex, as of 18 October 2026.

Timeline

  1. 2020

    Meena and open-domain chat

    He co-authors the Meena study, which presents an end-to-end open-domain chatbot trained on public social-media conversations. The study describes a 2.6-billion-parameter network trained to minimize next-token perplexity and evaluates responses with the Sensibleness and Specificity Average (SSA).

  2. 2022

    LaMDA dialog models

    He co-authors LaMDA, a Transformer-based family of neural language models specialized for dialog. The report describes safety and factual grounding as key challenges.

  3. 2024

    A multimodal patent

    A Google patent granted in 2024 names him as an inventor on a system that generates multimodal responses with large language models.

  4. 2025

    A Gemini 2.5 report

    He appears among the authors of the 2025 Gemini 2.5 report, which covers advanced reasoning, multimodal understanding, long context, and agentic workflows.

  5. As of October 2026

    A content-screening patent

    He is named as an inventor on a 2026 Google patent application for content screening with retrieval-oriented context-augmented language models.

Most-cited works

  1. LaMDA: Language Models for Dialog Applications2022 · 778 citationsWith Heng-Tze Cheng, Meredith Ringel Morris, Quoc Le and Ray Kurzweil
  2. Towards a Human-like Open-Domain Chatbot2020 · 614 citationsWith Quoc Le

From OpenAlex, as of 18 October 2026.

  1. Google had the most people shaping AI every year from 2014 to 2025Our estimates of which organizations employed the most people shaping AI from 1961 to 2025, with a year-by-year chart.
  2. The United States employs an estimated 53% of people in our data with a known employment countryOur estimates of where AI careers are concentrated now and how countries’ shares of dated positions changed over time.
  3. 46% of living people in our data with known birth and employment countries work outside their birth countryOur estimate of cross-border careers in AI, from country of birth and the country of each current organization.
  4. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionOur estimates of where the people shaping AI studied and where their careers led, from education records in cited biographies.

Sources and credits

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  1. Towards a Human-like Open-Domain Chatbot research.google. Checked 18 October 2026.
  2. [2001.09977] Towards a Human-like Open-Domain Chatbot arxiv.org. Checked 18 October 2026.
  3. LaMDA: Language Models for Dialog Applications research.google. Checked 18 October 2026.
  4. [2201.08239] LaMDA: Language Models for Dialog Applications arxiv.org. Checked 18 October 2026.
  5. US11907674B1 - Generating multi-modal response(s) through utilization of large language model(s) - Google Patents patents.google.com. Checked 18 October 2026.
  6. [2507.06261] Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities arxiv.org. Checked 18 October 2026.
  7. US20260195476A1 - Content screening using retrieval-oriented context augmented language models - Google Patents patents.google.com. Checked 18 October 2026.