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
21 * 2023 CompactIE: Compact Facts in Open Information Extraction F Fatahi Bayat, N Bhutani, HV Jagadish
NAACL 2022, 2022
14 * 2022 NN: Power-Efficient Neural Network Acceleration Using Differential WeightsH 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
3 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
2 2024 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
1 2024 CompactIE: Compact Facts in Open Information Extraction F Fatahi Bayat, N Bhutani, HV Jagadish
arXiv e-prints, arXiv: 2205.02880, 2022
1 2022 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 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, ...