Update on Oct 4, 2024

I am actively interested in talking about industry research scientist and engineering positions in model evaluation and benchmarking, metric design, post-training alignment, model explanation, and interpretation, and, work at the intersection of LLMs and productivity or health (see publications Show information for the linked content and research notes). If you have any in mind, please reach out to me.

I am also interested in collaborations in the aforementioned areas. If you have an interesting project, and would like to collaborate or talk, or just want to talk about research in general, please pick a time slot hereShow information for the linked content.

(View my resume)

Hi, I am Mimansa

LinkedIn | GScholar | Twitter | Resume | Email me at: mimansa.jaiswal@gmail.com

I obtained my doctorate in CS at the University of Michigan under Prof. Emily Provost as part of the CHAI group. My research focuses on developing cost-effective data collection and generation procedures, LLM orchestration schemas, and, designing evaluation methods and metrics that are interpretable and human aligned.

I've previously interned at Allen AI NLP, Facebook AI Research (FAIR) NLP, and Facebook Research Conversational AI.

Besides research, I am interested in science communication, sketchnoting, personal knowledge management and cooking.

I ❤️ cats, and they keep me sane. I have two: OreoShow information for the linked content and BertShow information for the linked content (yes, that Bert, you read it right!).

Experience

• Oct 2023 - Oct 2024 Member of Technical Staff - Research Scientist, Norm AI
  Retrieval Augmentation and persona based simulation in LLMs and their subjective evaluation
• Fall 2021 Research Intern, Allen NLP, Allen Institute of Artificial Intelligence
  Mentor(s) : Ana Marasović
  Benchmarking interpretable and compositional evaluation for very large models in natural language processing
• Summer 2021 Research Intern, NLP Team, Facebook AI Research (Meta AI)
  Mentor(s) : Adina Williams; Scott Yih, Pedro Rogieruez
  Identifying, understanding, and correcting ambiguity based faliure points in Natural Language Inference (NLI)
• Summer 2020 Research Intern, Conversation AI, Facebook (Meta) AI
  Mentor(s) : Ahmad Beirami, Shane Moon, Satwik Kottur, Chinnadhurai Sankar
  Defining interpretable and generalizable user satisfaction metric informed by human knowledge
• Summer 2016 Research Intern, SENTIC Lab, Nanyang Technological University, Singapore
  Mentor(s) : Erik Cambria
  Multimodal detection of human behavior: empathy and deception
• Winter 2016 Research Intern, NLP and Sentiment Analysis (NLPSA) Lab, Academia Sinica, Taiwan
  Mentor(s) : Lun-Wei Ku
  Human perception of conversation sentiment visualization in chat interfaces
• Summer 2015 Research Intern, Indraprastha Institute of Information Technology (IIIT), Delhi
  Mentor(s) : Pravesh Biyani
  Finding the optimal routes under user specified user-constraints for last mile cab-pooling

Education

• (2017 - 2023) PhD in Computer Science and Engineering
  University of Michigan
  Advisor(s): Prof. Emily Provost
• (2017 - 2019) MS in Computer Science and Engineering
  University of Michigan
  Advisor(s): Prof. Emily Provost
• (2013 - 2017) BTech in Computer Engineering
  IET DA Univ, India
  Advisor(s): Prof. G.L. Prajapati