| Focal onset seizure prediction using convolutional networks H Khan, L Marcuse, M Fields, K Swann, B Yener IEEE Transactions on Biomedical Engineering 65 (9), 2109-2118, 2017 | 371 | 2017 |
| AlexaTM 20B: Few-Shot Learning Using a Large-Scale Multilingual Seq2Seq Model S Soltan, S Ananthakrishnan, J FitzGerald, R Gupta, W Hamza, H Khan, ... arXiv preprint arXiv:2208.01448, 2022 | 99* | 2022 |
| Alexa teacher model: Pretraining and distilling multi-billion-parameter encoders for natural language understanding systems J FitzGerald, S Ananthakrishnan, K Arkoudas, D Bernardi, A Bhagia, ... Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 77 | 2022 |
| Generation & Evaluation of Adversarial Examples for Malware Obfuscation D Park, H Khan, B Yener 2019 18th IEEE International Conference On Machine Learning And Applications …, 2019 | 66 | 2019 |
| When benchmarks are targets: Revealing the sensitivity of large language model leaderboards N Alzahrani, H Alyahya, Y Alnumay, S Alrashed, S Alsubaie, ... Proceedings of the 62nd Annual Meeting of the Association for Computational …, 2024 | 62 | 2024 |
| RescoreBERT: Discriminative Speech Recognition Rescoring With Bert L Xu, Y Gu, J Kolehmainen, H Khan, A Gandhe, A Rastrow, A Stolcke, ... ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 55 | 2022 |
| ASR N-Best Fusion Nets X Liu, M Li, L Chen, P Wanigasekara, W Ruan, H Khan, W Hamza, C Su ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 52 | 2021 |
| Controlling the Extraction of Memorized Data from Large Language Models via Prompt-Tuning MS Ozdayi, C Peris, J Fitzgerald, C Dupuy, J Majmudar, H Khan, R Parikh, ... arXiv preprint arXiv:2305.11759, 2023 | 35 | 2023 |
| Learning filter widths of spectral decompositions with wavelets H Khan, B Yener Advances in Neural Information Processing Systems 31, 4601-4612, 2018 | 31 | 2018 |
| Don't Parse, Insert: Multilingual Semantic Parsing with Insertion Based Decoding Q Zhu, H Khan, S Soltan, S Rawls, W Hamza arXiv preprint arXiv:2010.03714, 2020 | 29 | 2020 |
| A systematic survey and critical review on evaluating large language models: Challenges, limitations, and recommendations MTR Laskar, S Alqahtani, MS Bari, M Rahman, MAM Khan, H Khan, ... Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024 | 26 | 2024 |
| Optimal Mini-Batch Size Selection for Fast Gradient Descent MP Perrone, H Khan, C Kim, A Kyrillidis, J Quinn, V Salapura arXiv preprint arXiv:1911.06459, 2019 | 21 | 2019 |
| Limitations of Knowledge Distillation for Zero-shot Transfer Learning S Soltan, H Khan, W Hamza Proceedings of the Second Workshop on Simple and Efficient Natural Language …, 2021 | 13 | 2021 |
| Deep density ratio estimation for change point detection H Khan, L Marcuse, B Yener arXiv preprint arXiv:1905.09876, 2019 | 13 | 2019 |
| ALLaM: Large Language Models for Arabic and English MS Bari, Y Alnumay, NA Alzahrani, NM Alotaibi, HA Alyahya, S AlRashed, ... arXiv preprint arXiv:2407.15390, 2024 | 10 | 2024 |
| Unfreeze with Care: Space-Efficient Fine-Tuning of Semantic Parsing Models W Sun, H Khan, N Guenon des Mesnards, M Rubino, K Arkoudas Proceedings of the ACM Web Conference 2022, 999-1007, 2022 | 7 | 2022 |
| Controlled Data Generation via Insertion Operations for NLU M Kumar, Y Merhav, H Khan, R Gupta, A Rumshisky, W Hamza Proceedings of the 2022 Conference of the North American Chapter of the …, 2022 | 6 | 2022 |
| Squashed weight distribution for low bit quantization of deep models N Ström, H Khan, W Hamza | 5 | 2022 |
| Compressing Transformer-Based Semantic Parsing Models using Compositional Code Embeddings P Prakash, SK Shashidhar, W Zhao, S Rongali, H Khan, M Kayser arXiv preprint arXiv:2010.05002, 2020 | 5 | 2020 |
| Short paper: creating adversarial malware examples using code insertion D Park, H Khan, B Yener Arxiv preprint, 2019 | 5 | 2019 |
Bülent YenerProfessor of Computer Science, Director of Data Science Research Center RPIVerified email at cs.rpi.edu
