Takeshi Onishi

Hello! I am Takeshi Onishi, a postdoc at Cedars-Sinai working for medical NLP with Professor Gonzalez-Hernandez! I received my Ph.D. in Computer Science from Toyota Technological Institute at Chicago in 2020, advised by David McAllester. My undergraduate degree is a B.A. in Engineering from Toyota Technological Institute in Japan.

About me

My brief self-introduction.

• Postdoc at Cedars-Sinai working for medical NLP with Professor Gonzalez-Hernandez
• 文部科学省 科学技術・学術政策研究所(NISTEP) 専門調査員

• My research interests: Artificial Intelligence, Machine Learning, Natural Language Processing, Data Mining, and Information Retrieval.

Publications and talks

• Political Bias of Large Language Models in Few-shot News Summarization.
  Takeshi Onishi and James Caverlee.
  Presented at International Workshop on Algorithmic Bias in Search and Recommendation at SIGIR, July 2024.
  A collaborative research of Texas A&M University and Toyota Motor Corporation.
• Noisy-labeled Domain Adaptation under Generalized Label Shift
  Kazuhiko Shinoda, Takeshi Onishi, Masashi Sugiyama.
  In proceedings of the 37th Annual Conference of the Japanese Society for Artificial Intelligence, June 2023.
  A collaborative research of the University of Tokyo and Toyota Motor Corporation.
• Dealing with Medication Non-Adherence Expressions in Twitter
  Takeshi Onishi, Davy Weissenbacher, Ari Klein, Karen O’Connor and Graciela Gonzalez-Hernandez.
  SMM4H at EMNLP 2018
  
• Relation extraction with weakly supervised learning based on process-structure-property-performance reciprocity
  Takeshi Onishi, Takuya Kadohira, Ikumu Watanabe.
  Science and Technology of Advanced Materials, July 2018
  The source code is available HERE.
• Emergent Predication Structure in Hidden State Vectors of Neural Readers
  Hai Wang, Takeshi Onishi, Kevin Gimpel, David McAllester.
  A Best Paper in Repl4NLP: 2nd Workshop on Representation Learning for NLP, August 2017
  
• Who did What: A large-scale person-centered cloze dataset
  Takeshi Onishi, Hai Wang, Mohit Bansal, Kevin Gimpel, and David McAllester.
  In Proceedings of Empirical Methods in Natural Language Processing, Austin, Texas, November 2016
  

Activities

Here is my activities!

New paper has been published!

I’m excited to announce the publication of my latest paper: “Political Bias of Large Language Models in Few-Shot News Summarization.”

As Large Language Models(LLMs) continue to shape how we consume information, understanding their potential biases is more crucial than ever. In this work, we dive into the LLM’s political bias in the context of news summarization!

This is my collaborative research between Toyota Motor Corporation and Texas A&M University! Big thanks to everyone who supported and collaborated on this journey!

Computational Biomedicine Health Language Processing Annual Symposium

Our research group hosted the 2024 Computational Biomedicine Health Language Processing Annual Symposium at Cedars-Sinai. I presented the preliminary results of my new project!

Presenting at BIAS@SIGIR

I’m attending SIGIR 2024 in Washington D.C. to present my work “Political Bias of Large Language Models in Few-shot News Summarization,” collaborative research of Texas A&M University and Toyota Motor Corporation!

New career on Cedars-Sinai at LA

I am excited to announce that I have recently started working at Cedars-Sinai in LA. I am joining a medical NLP research team of Professor Gonzalez-Hernandez!

Leaving Toyota for my next career!

I have decided to resign from Toyota to take up a new research position. Thank you and good-bye, Toyota!

• More activities