University of Michigan Fall 2024 CSE595 NLP Submissions

Three Approaches to Improve Reasoning on the TRIP Benchmark: Transfer Learning, Model Selection, and Prompting Techniques
Tiffany Parise, Xiyuan Chang, Yuting Duan, Benjamin LIu
- Published: 17 Dec 2024, Last Modified: 17 Dec 2024
- UMich CSE595 NLP FA2024
- Readers: Everyone
LLM Ability to Answer University Student Questions in CS Trained Exclusively on Auto-Generated QA
Boyuan Zheng, Samantha Jaehnig, Yuxuan Jiang, Ann Stone
- Published: 17 Dec 2024, Last Modified: 17 Dec 2024
- UMich CSE595 NLP FA2024
- Readers: Everyone
Assessing Coherence via Dialogue Reconstruction Tasks
Jai Narayanan, Edwin Chan, Shruti Jain
- Published: 17 Dec 2024, Last Modified: 17 Dec 2024
- UMich CSE595 NLP FA2024
- Readers: Everyone
Improving Conversational Entailment with Instance-Specific Knowledge Graphs
Jack Holland, Brian Wu, Sohil Ramachandra, Vatsal Joshi
- Published: 17 Dec 2024, Last Modified: 17 Dec 2024
- UMich CSE595 NLP FA2024
- Readers: Everyone
Data Augmentation for Physical Commonsense Reasoning
Jiaqi Xu, Yukun Yang, Tianao Chen, Chuying Han
- Published: 17 Dec 2024, Last Modified: 18 Dec 2024
- UMich CSE595 NLP FA2024
- Readers: Everyone
Prompting for Fairness: Mitigating Gender Bias in Large Language Models with Self-Debiasing Prompting
Christine Chuyun Zeng, Marcus Chung, Erik Zhou
- Published: 17 Dec 2024, Last Modified: 17 Dec 2024
- UMich CSE595 NLP FA2024
- Readers: Everyone