| FLEEK: Factual Error Detection and Correction with Evidence Retrieved from External Knowledge F Fatahi Bayat, K Qian, B Han, Y Sang, A Belyi, S Khorshidi, F Wu, IF Ilyas, ... EMNLP 2023, 2023 | 18* | 2023 |
| CompactIE: Compact Facts in Open Information Extraction F Fatahi Bayat, N Bhutani, HV Jagadish NAACL 2022, 2022 | 13* | 2022 |
| NN: Power-Efficient Neural Network Acceleration Using Differential Weights H Mahdiani, A Khadem, A Ghanbari, M Modarressi, F Fattahi-Bayat, ... IEEE Micro 40 (1), 67-74, 2019 | 11 | 2019 |
| Enhancing Language Model Factuality via Activation-Based Confidence Calibration and Guided Decoding X Liu, FF Bayat, L Wang arXiv preprint arXiv:2406.13230, 2024 | 2 | 2024 |
| APE: Active Learning-based Tooling for Finding Informative Few-shot Examples for LLM-based Entity Matching K Qian, Y Sang, FF Bayat, A Belyi, X Chu, Y Govind, S Khorshidi, R Khot, ... arXiv preprint arXiv:2408.04637, 2024 | 1 | 2024 |
| Challenges for introducing artificial intelligence to improve the efficiency of a next generation assessment approach B Moon, FF Bayat, S Nair, A Slaughter eLearn 2021 (Special Issue), 1-15, 2021 | 1 | 2021 |
| FactBench: A Dynamic Benchmark for In-the-Wild Language Model Factuality Evaluation FF Bayat, L Zhang, S Munir, L Wang arXiv preprint arXiv:2410.22257, 2024 | | 2024 |
| Enhanced language model truthfulness with learnable intervention and uncertainty expression FF Bayat, X Liu, H Jagadish, L Wang Findings of the Association for Computational Linguistics ACL 2024, 12388-12400, 2024 | | 2024 |
| Enhanced Language Model Truthfulness with Learnable Intervention and Uncertainty Expression F Fatahi Bayat, X Liu, HV Jagadish, L Wang ACL 2024 Findings, 2024 | | 2024 |
| Network Acceleration using Differential Weights H Mahdiani, A Khadem, A Ghanbari, M Modarressi, F Fattahi-Bayat, ... | | |
H. V. JagadishUniversity of MichiganVerified email at umich.edu
