Publications

• HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models
  Bernal Jiménez Gutiérrez, Yiheng Shu, Yu Gu, Michihiro Yasunaga, Yu Su
  arXiv
  [pdf][code]

• Solving the Right Problem is Key for Translational NLP: A Case Study in UMLS Vocabulary Insertion
  Bernal Jiménez Gutiérrez, Yuqing Mao, Vinh Nguyen, Kin Wah Fung, Yu Su, Olivier Bodenreider
  December 2023 | Findings in EMNLP 2023
  [pdf][code]

• Biomedical Language Models are Robust to Sub-optimal Tokenization
  Bernal Jiménez Gutiérrez, Huan Sun, Yu Su
  BioNLP @ ACL 2023
  [pdf][code]

• Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation Extractors
  Kai Zhang, Bernal Jiménez Gutiérrez, Yu Su
  ACL 2023 (Findings)
  [pdf][code]

• Thinking about GPT-3 In-Context Learning for Biomedical IE? Think Again
  Bernal Jiménez Gutiérrez, Nikolas McNeal, Clay Washington, You Chen, Lang Li, Huan Sun, Yu Su
  EMNLP 2022 (Findings)
  [pdf][code]

• Clinical Phrase Mining with Language Models
  Kaushik Mani, Xiang Yue, Bernal Jiménez Gutiérrez, Yungui Huang, Simon M. Lin, Huan Sun
  2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
  [link]
  

• Document Classification for COVID-19 Literature
  Bernal Jiménez Gutiérrez, Juncheng Zeng, Dongdong Zhang, Ping Zhang, Yu Su
  EMNLP 2020 (Findings)
  [pdf][code]

• Clinical Reading Comprehension: A Thorough Analysis of the emrQA Dataset
  Xiang Yue, Bernal Jiménez Gutiérrez, Huan Sun
  ACL 2020
  [pdf][code]
  

• Improving Clinical Trial Participant Pre-Screening with Artificial Intelligence (AI): a Comparison of the Results of AI-Assisted vs. Standard Methods in Three Oncology Trials
  Denise Calaprice-Whitty, Karim Galil, Wael Salloum, Ashkon Zariv, Bernal Jiménez Gutiérrez.
  TIRS (Therapeutic Innovation and Regulatory Science)
  January 2020
  [link]