PeopleofSuperintelligence

Researcher

Caiming Xiong

Caiming Xiong is an AI researcher whose work spans neural question answering, language models, multimodal AI, agents and contextual forecasting. He earned a computer science and engineering PhD in the University at Buffalo's Department of Computer Science and Engineering in 2014 and won an Outstanding Paper Award at ACL in 2019. By November 2020, he was Managing Director of AI Research at Salesforce. His work includes Dynamic Memory Networks, CodeGen, BLIP, xLAM and xGen-small; he contributed insights to a January 2026 article about MoiraiAgent. As of October 2026, he is a co-founder of Recursive Superintelligence, whose team builds systems that conduct experiments to improve their own AI capabilities.

Now at
Recursive
Works
542
Citations
30,991
h-index
73
Badges

Publication numbers from OpenAlex, as of 22 October 2026.

Timeline

  1. 2014

    A computer science PhD

    He earns a PhD in the University at Buffalo's Department of Computer Science and Engineering in 2014.

  2. 2016

    Dynamic memory networks

    In 2016, he coauthors Dynamic Memory Networks for Visual and Textual Question Answering. The model adds an image input module for visual questions and improves performance on the Visual Question Answering and bAbI-10k text question-answering datasets.

  3. 2019–2020

    An ACL paper award

    He wins an Outstanding Paper Award at ACL in 2019. By November 2020, he is Managing Director of AI Research at Salesforce.

  4. 2022

    CodeGen and BLIP

    In 2022, he coauthors CodeGen, an open family of large language models for program synthesis that competes on zero-shot Python code generation on HumanEval. In 2022, he also coauthors BLIP, a framework for vision-language understanding and generation that bootstraps image captions.

  5. September 2024

    xLAM for AI agents

    In September 2024, he coauthors xLAM, a family of large language models optimized for function calling and AI agents.

  6. May 2025

    The xGen-small models

    In May 2025, he coauthors xGen-small, a compact language model family with 4B and 9B parameter versions and long-context support.

  7. January 2026

    MoiraiAgent forecasts with context

    In January 2026, he contributes insights to a Salesforce article about MoiraiAgent, an automated time-series forecasting framework that combines historical values with contextual signals.

  8. As of October 2026

    Co-founding Recursive

    As of October 2026, he is a co-founder of Recursive Superintelligence, whose team builds systems that conduct experiments to improve their own AI capabilities.

Career

  1. NowRecursiveCo-founder
  2. 2022–2024University of Hong Kong
  3. 2019–2024Yale University
  4. 2016–2026SalesforceManaging Director of AI Research
  5. 2014–2024University of California, Los Angeles

Education

  1. 2014University at Buffalo, State University of New YorkPhD

From the biography and OpenAlex affiliations (the years of papers that list the organization), so some years are approximate.

  1. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other universityIncludes Caiming Xiong. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other university. We compare doctorate and 5+ year employment links, career timing and current workplaces for 187 major-prize and 1,111 best-paper winners.
  2. Of 943 people shaping AI who worked at Google, 446 work there nowIncludes Recursive. Our estimates of where the 943 people shaping AI who worked at Google and Google DeepMind work now: 446 at Google and 452 across 278 other organizations.
  3. 22 of 133 people shaping AI with a former OpenAI role now work at AnthropicIncludes Recursive. Our estimates of where OpenAI recruits came from and where 133 people with former OpenAI roles work now, including the companies and labs they founded.
  4. Google alumni have founded or led 133 other organizations, more than any other AI labIncludes Salesforce. We estimate that alumni of 17 major AI labs went on to found or lead 350 other organizations, including 226 they founded, and we trace 472 career moves directly between 23 labs since 2010.

Colleagues

People with dated positions at the same organization in the same years.

Sources and credits

Photo: We have no published photo of Caiming Xiong yet. Send us a free-licensed photo.

  1. CS 201: NLP meets Database, CAIMING XIONG, Salesforce Research | CS cs.ucla.edu. Checked 20 October 2026.
  2. Dynamic Memory Networks for Visual and Textual Question Answering arxiv.org. Checked 20 October 2026.
  3. CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis arxiv.org. Checked 20 October 2026.
  4. BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation arxiv.org. Checked 20 October 2026.
  5. xLAM: A Family of Large Action Models for AI Agents - Salesforce salesforce.com. Checked 20 October 2026.
  6. xGen-small: Enterprise-ready Small Language Models - Salesforce salesforce.com. Checked 20 October 2026.
  7. MoiraiAgent: An Agentic Framework for Context-Aware Time-Series Forecasting - Salesforce salesforce.com. Checked 20 October 2026.
  8. Recursive Superintelligence: Why Self-Improving AI is the Next Frontier gv.com. Checked 20 October 2026.
  9. Notable researchers join US$4bil effort to build self-improving AI thestar.com.my. Checked 20 October 2026.