VLM2Vec-V2: Advancing Multimodal Embedding for Videos, Images, and Visual Documents
VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks (ICLR 2024)
Beyond Content Relevance: Evaluating Instruction Following in Retrieval Models (ICLR 2024)
SFR-Embedding-Mistral: Enhance Text Retrieval with Transfer Learning
XGen-7B Technical Report
Bringing Structure into Summaries: a Faceted Summarization Dataset for Long Scientific Documents (ACL 2021)
Integrating transformer and paraphrase rules for sentence simplification (EMNLP 2018)
Deep Keyphrase Generation (ACL 2017)
Research Experience
Google Cloud AI Research - Research Scientist (Apr 2025 - Current)
Salesforce Research - Research Scientist (Oct 2021 - Apr 2025)
Google AI - Research Intern (May 2020 - Aug 2020)
Salesforce Research - Research Intern (May 2019 - Dec 2019)
Google AI - Research Intern (May 2018 - Aug 2018)
Yahoo Research - Research Intern (May 2017 - Aug 2017)
Background
Currently a research scientist at Google AI Research. Core interest lies in exploring the meaning and mechanisms of intelligence, particularly in language grounding and representation learning.