Prakhar is a Research Scientist at Google, working on Google Gemini. He has a PhD in Language Technologies from Carnegie Mellon University and specializes in natural language generation and dialogue systems. Previously, he contributed to cutting-edge projects at Adobe Research India. Prakhar holds an undergraduate degree in Computer Science from the Indian Institute of Technology, Roorkee. He's passionate about all aspects of research and development, taking ideas from their initial stages through to successful launch.

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Recent News:

• October 2022: Our paper on instruction tuning for dialogue (InstructDial) got accepted at EMNLP 2022 Link to Paper
• Summer 2022: I interned at Amazon this summer with Yang Liu and Dilek Hakkani-Tur
• May 2022: Paper on instruction tuning in dialogue online Link to Paper
• April 2022: Paper on commonsense driven target based dialogue generation accepted in Naacl 2022. Link to Paper
• February 2022: Our work “DialFact: A Benchmark for Fact-Checking in Dialogue” Link to Paper got accepted at ACL 2022.
• June 2021: I joined Salesforce Research as an Intern for Summer 2021.
• May 2021: Our work Synthesizing Adversarial Negative Responses for Robust Response Ranking and Evaluation got accepted at Findings of ACL 2021.
• May 2021: Presenting our paper Controlling Dialogue Generation with Semantic Exemplars at NAACL 2021
• June 2020: CMU's dialogue system in Darpa's ASED program (defense against scammers) is again one of the top performers!
• March 2020: Our paper Using Image Captions and Multitask Learning for Recommending Query Reformulations got accepted at ECIR 2020
• August 2019: Presenting our paper Investigating Evaluation of Open-Domain Dialogue Systems With Human Generated Multiple References at SIGDIal 2019 Link
• July 2019: Our paper on story generation link has been featured in over three articles. Check it out!.


• Storytelling Bots Learn To Punch Up Their Last Lines
• A writing algorithm that finishes stories
• AI generates interesting story endings