Scholar
Farima Fatahi Bayat
Google Scholar ID: En8IdkkAAAAJ
University of Michigan
Citations & Impact
Citations
103
H-index
7
i10-index
4
Publications
11
Co-authors
7
list available
Publications
Resume (English only)
Academic Achievements
- FactBench: A Dynamic Benchmark for In-the-Wild Language Model Factuality Evaluation (arXiv 2024)
- Enhancing Language Model Factuality via Activation-Based Confidence Calibration and Guided Decoding (EMNLP 2024)
- Enhanced Language Model Truthfulness with Learnable Intervention and Uncertainty Expression (ACL 2024 Findings)
- FLEEK: Factual Error Detection and Correction with Evidence Retrieved from External Knowledge (EMNLP 2023 System Demonstrations)
- APE: Active Learning-based Tooling for Finding Informative Few-shot Examples for LLM-based Entity Matching (DaSH 2024)
Background
- Final-year Ph.D. Candidate in Computer Science and Engineering at the University of Michigan
- Research focuses on Responsible AI in Natural Language Processing (NLP)
- Develops frameworks to improve Language Models' Factuality through novel evaluation methods, intervention techniques, and decoding strategies
- Completed a 9-month internship at Apple's Knowledge Platform team, collaborating with Yunyao Li on LLM content verification and revision
- On the job market for Industry Research positions
