Research Practicum in Artificial Intelligence
Jinho D. Choi
  • Overview
    • Syllabus
    • Schedule
    • Discussions
  • Speed Dating
    • Profiles
  • Faculty Interests
    • AI Faculty
  • Research Areas
    • AI Conferences
  • Task Selection
  • Introduction
    • Motivation
    • Overview
    • Exercise
  • Related Work
    • Literature Review
    • Exercise
  • Approach
    • Algorithm Development
    • Model Design
    • Data Creation
  • Research Challenges
  • Experiments
    • Datasets
    • Models
    • Results
    • 5.4. Homework
  • Analysis
    • Performance Analysis
    • Error Analysis
    • Discussions
    • 6.4. Homework
  • Conclusion & Abstract
    • Conclusion
    • Title & Abstract
  • Peer Review
  • Presentations
  • Team Projects
    • Fall 2023
    • Fall 2022
  • Assignments
    • HW1: Speed Dating
    • HW2: Research Areas
    • HW3: Team Promotion
    • HW4: Introduction
    • HW5: Related Work
    • HW6: Approach
    • HW7: Experiments
    • HW8: Analysis
    • HW9: Conclusion & Abstract
    • HW10: Peer Review
    • Team Project
  • Supplementary
    • LaTex Guidelines
      • Getting Started
      • File Structure
      • Packages
      • References
      • Paragraphs
      • Labels
      • Tables
      • Figures
      • Lists
    • Writing Tips
    • Progress Reports
    • Team Promotion
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Team Projects

Fall 2024

PreviousPresentationsNextFall 2023

Last updated 4 months ago

Projects

  1. LESS: Learning Logical Equivalence for Structured SQL Queries in Text-to-SQL Models : Jonathan Zhang, Darren Ni, Sherry Rui (, , , , )

  2. Towards Robust RAG in QA: A Comparative Study Between Single and Hybrid Retrieval : Kei Nie, Daisy Wang, Rex Zhang (, , , , )

  3. Positive Unlabeled Learning for Training of Non-Coding Single Nucleotide Variant Effect Predictors : Kihoon Kang, Zechary Chou, Brian Hakam (, , , , )

  4. Adapting Prompting with Haitian Creole and AAVE Using Transformer Models for Culturally and Contextually Nuanced Dialogue : Ivan Martinez-Kay, Raphael Palacio (, , , , )

  5. TopicProphet: Prophesies on Temporal Topic Trends and Stocks : Olivia Kim, Thalia Papageorgiou (, , , , )

  6. GSM-VARIABLE: Can LLMs Learn to Reason in Math Utilizing Symbolic Notation? : Andrew Chung, William Hao (, , , , )

  7. Automatic Contradiction Detection in Presidential Debate: A LLM’s Approach to Promoting Accountability and Informed Citizenship : Yutong Hu, Ryan Meng, Harutoshi Okumura (, , , , )

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