AS-ES Learning: Towards efficient CoT learning in small models
Sendong Zhao, Xi et al. (2024). "AS-ES Learning: Towards efficient CoT learning in small models; ACL 2024.
CV
Education
- Ph.D in Version Control Theory, GitHub University, 2018 (expected)
- M.S. in Jekyll, GitHub University, 2014
- B.S. in GitHub, GitHub University, 2012
Work experience
- Spring 2024: Academic Pages Collaborator
- Github University
- Duties includes: Updates and improvements to template
- Supervisor: The Users
- Fall 2015: Research Assistant
- Github University
- Duties included: Merging pull requests
- Supervisor: Professor Hub
- Summer 2015: Research Assistant
- Github University
- Duties included: Tagging issues
- Supervisor: Professor Git
Skills
- Skill 1
- Skill 2
- Sub-skill 2.1
- Sub-skill 2.2
- Sub-skill 2.3
- Skill 3
Publications
MolTailor: Tailoring Chemical Molecular Representation to Specific Tasks via Text Prompts
Sendong Zhao, Guo et al. (2024). "MolTailor: Tailoring Chemical Molecular Representation to Specific Tasks via Text Prompts." AAAI 2024.
Manifold-based Verbalizer Space Re-embedding for Tuning-free Prompt-based Classification
Sendong Zhao, Wang et al. (2024). "Manifold-based Verbalizer Space Re-embedding for Tuning-free Prompt-based Classification." AAAI 2024.
From Artificially Real to Real: Leveraging Pseudo Data from Large Language Models for Low-Resource Molecule Discovery
Sendong Zhao, Chen et al. (2024). "From Artificially Real to Real: Leveraging Pseudo Data from Large Language Models for Low-Resource Molecule Discovery." AAAI 2024.
Make Your Decision Convincing! A Unified Two-Stage Framework: Self-Attribution and Decision-Making
Sendong Zhao, Du et al. (2021). "Make Your Decision Convincing! A Unified Two-Stage Framework: Self-Attribution and Decision-Making." EMNLP 2023.
Less Learn Shortcut: Analyzing and Mitigating Learning of Spurious Feature-Label Correlation
Sendong Zhao, Du et al. (2021). "Less Learn Shortcut: Analyzing and Mitigating Learning of Spurious Feature-Label Correlation." IJCAI 2023.
UniCoRN: Unified Cognitive Signal ReconstructioN bridging cognitive signals and human language
Sendong Zhao, Xi et al. (2021). "UniCoRN: Unified Cognitive Signal ReconstructioN bridging cognitive signals and human language." ACL 2023.
Biomedical Evidence Engineering for Data-driven Discovery
Sendong Zhao, Zhao et al. (2022). " Biomedical Evidence Engineering for Data-driven Discovery." Bioinformatics. 38(21).
Structural and Textual Information Fusion for Symptom and Disease Representation Learning
Sendong Zhao, Zhao et al. (2022). "Structural and Textual Information Fusion for Symptom and Disease Representation Learning." IEEE Transactions on Knowledge and Data Engineering. 34(9).
Prompt Combines Paraphrase: Teaching Pre-trained Models to Understand Rare Biomedical Words
Sendong Zhao, Wang et al. (2022). "Prompt Combines Paraphrase: Teaching Pre-trained Models to Understand Rare Biomedical Words." COLING 2022.
Less Is More: Domain Adaptation with Lottery Ticket forReading Comprehension
Sendong Zhao, Zhu et al. (2021). "Less Is More: Domain Adaptation with Lottery Ticket forReading Comprehension." EMNLP 2021.
Recent Advances in Biomedical Literature Mining
Sendong Zhao, Zhao et al. (2021). "Recent Advances in Biomedical Literature Mining." Briefings in Bioinformatics. 22(3).
Interactive Attention Network for Semantic Text Matching
Sendong Zhao, Zhao et al. (2019). "Interactive Attention Network for Semantic Text Matching." ICDM 2020.
Graph Convolutional Networks for Computational Drug Development and Discovery
Sendong Zhao, Sun et al. (2020). "Graph Convolutional Networks for Computational Drug Development and Discovery." Briefings in Bioinformatics. 21(3).
GRAPHENE: A Precise Biomedical Literature Retrieval Engine with Graph Augmented Deep Learning and External Knowledge Empowerment
Sendong Zhao, Zhao et al. (2019). "GRAPHENE: A Precise Biomedical Literature Retrieval Engine with Graph Augmented Deep Learning and External Knowledge Empowerment." CIKM 2019.
A Neural Multi-task Learning Approach for Medical Named Entity Recognition and Normalization
Sendong Zhao, Zhao et al. (2019). "A Neural Multi-task Learning Approach for Medical Named Entity Recognition and Normalization." AAAI 2019.
Talks
Enhanced Interpretability Techniques for Large Language Models
Talks at Duxiaoman, Beijing, China
Research on Large Language Model Tuning Techniques for Medicine
Talk at CCF YOCSEF, CCF WISA 2023, CCF CHINA SERVICE 2023, Beijing, Qingdao, Chengdu
Teaching
Service and leadership
- Currently signed in to 43 different slack teams