R
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Rishabh Joshi

Google Scholar ID: vu2pNVAAAAAJ
Google Deepmind, ex Brain Team
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Resume (English only)
Academic Achievements
  • - Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context (May 8, 2024)
  • - Gemini: a family of highly capable multimodal models (Dec 19, 2023)
  • - Statistical rejection sampling improves preference optimization (ICLR 2024)
  • - Calibrating Sequence likelihood Improves Conditional Language Generation (ICLR 2023)
  • - Unsupervised Keyphrase Extraction via Interpretable Neural Networks (EACL 2023)
  • - Improving Broad-Coverage Medical Entity Linking with Semantic Type Prediction and Large-Scale Datasets (Journal of Biomedical Informatics, 2021)
  • - DialoGraph: Incorporating Interpretable Strategy-Graph Networks into Negotiation Dialogues (ICLR 2021)
  • - ResPer: Computationally Modelling Resisting Strategies in Persuasive Conversations (EACL 2021)
  • - MedType: Improving Medical Entity Linking with Semantic Type Prediction (AMIA 2021)
  • - Keeping Up Appearances: Computational Modeling of Face Acts in Persuasion Oriented Discussions (EMNLP 2020)
  • - Incorporating Multi-Level Features for Multi-Granular Propaganda Span Identification (SemEval 2020)
  • - Tartan team reached the semi-finals of the 3rd Alexa Dialogue Challenge (2019)
  • - Analyzing the Extent of Misinformation in Cancer Related Tweets (ICWSM 2020)
  • - A Multistream Vector Representation for use in Natural Dialog (LREC 2020)
  • - Improving Distantly Supervised Neural Relation Extraction using Side Information (EMNLP 2018)
Research Experience
  • - Google DeepMind: Senior research engineer, focusing on the generation and alignment capabilities of large language models
  • - Samsung Research Institute, Bangalore, India: Worked in the Voice Intelligence Team on dialogue systems and chat-bots
  • - Indian Institute of Science, Bangalore: Worked with Partha Talukdar at the Machine and Language Learning (MALL) Lab
Education
  • - Master's Degree: Language Technologies Institute, School of Computer Science, Carnegie Mellon University (Advisors: Alan W Black, Yulia Tsvetkov, Alex Rudnicky)
  • - Bachelor's Degree: B.Eng. in Computer Science from Birla Institute of Technology and Science, Pilani, India
Background
  • - Research Interests: Improving the generation and alignment capabilities of large language models, specifically RLHF and preference optimization
  • - Professional Field: Natural Language Processing, Dialogue Systems, Machine Learning
  • - Brief Introduction: Senior research engineer at Google DeepMind, focusing on large language model research.
Miscellany
  • - Personal Interests: Not mentioned
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