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ORCIDHaidar Khan
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2020 – today
- 2024
[c18]Norah Alzahrani, Hisham Abdullah Alyahya, Yazeed Alnumay, Sultan Alrashed, Shaykhah Alsubaie, Yousef Almushayqih, Faisal Mirza, Nouf Alotaibi, Nora Al-Twairesh, Areeb Alowisheq, M. Saiful Bari, Haidar Khan:
When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model Leaderboards. ACL (1) 2024: 13787-13805- [c17]Md. Tahmid Rahman Laskar, Sawsan Alqahtani, M. Saiful Bari, Mizanur Rahman, Mohammad Abdullah Matin Khan, Haidar Khan, Israt Jahan, Amran Bhuiyan, Chee-Wei Tan, Md. Rizwan Parvez, Enamul Hoque, Shafiq Joty, Jimmy Huang:
A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and Recommendations. EMNLP 2024: 13785-13816 - [i19]Norah Alzahrani, Hisham Abdullah Alyahya, Yazeed Alnumay, Sultan Alrashed, Shaykhah Alsubaie, Yusef Almushaykeh, Faisal Mirza, Nouf Alotaibi, Nora Al-Twairesh, Areeb Alowisheq, M. Saiful Bari
, Haidar Khan:
When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model Leaderboards. CoRR abs/2402.01781 (2024) - [i18]Md. Tahmid Rahman Laskar, Sawsan Alqahtani, M. Saiful Bari, Mizanur Rahman, Mohammad Abdullah Matin Khan, Haidar Khan, Israt Jahan, Amran Bhuiyan, Chee Wei Tan, Md. Rizwan Parvez, Enamul Hoque, Shafiq Joty, Jimmy Xiangji Huang:
A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and Recommendations. CoRR abs/2407.04069 (2024) - [i17]M. Saiful Bari, Yazeed Alnumay, Norah A. Alzahrani, Nouf M. Alotaibi, Hisham Abdullah Alyahya, Sultan Alrashed, Faisal Mirza, Shaykhah Alsubaie, Hassan A. Alahmed, Ghadah Alabduljabbar, Raghad Alkhathran, Yousef Almushayqih, Raneem Alnajim, Salman Alsubaihi, Maryam Al Mansour, Majed Alrubaian, Ali Alammari, Zaki Alawami, Abdulmohsen Al-Thubaity, Ahmed Abdelali, Jeril Kuriakose, Abdalghani Abujabal, Nora Al-Twairesh, Areeb Alowisheq, Haidar Khan:
ALLaM: Large Language Models for Arabic and English. CoRR abs/2407.15390 (2024) - 2023
- [c16]Mustafa Özdayi, Charith Peris, Jack FitzGerald, Christophe Dupuy, Jimit Majmudar, Haidar Khan, Rahil Parikh, Rahul Gupta:
Controlling the Extraction of Memorized Data from Large Language Models via Prompt-Tuning. ACL (2) 2023: 1512-1521 - [c15]Subendhu Rongali, Mukund Sridhar, Haidar Khan, Konstantine Arkoudas, Wael Hamza, Andrew McCallum:
Low-Resource Compositional Semantic Parsing with Concept Pretraining. EACL 2023: 1402-1411 - [i16]Subendhu Rongali, Mukund Sridhar, Haidar Khan, Konstantine Arkoudas, Wael Hamza, Andrew McCallum:
Low-Resource Compositional Semantic Parsing with Concept Pretraining. CoRR abs/2301.09809 (2023) - [i15]Mustafa Safa Özdayi, Charith Peris, Jack FitzGerald, Christophe Dupuy, Jimit Majmudar, Haidar Khan, Rahil Parikh, Rahul Gupta:
Controlling the Extraction of Memorized Data from Large Language Models via Prompt-Tuning. CoRR abs/2305.11759 (2023) - 2022
- [c14]Liyan Xu, Yile Gu, Jari Kolehmainen, Haidar Khan, Ankur Gandhe, Ariya Rastrow, Andreas Stolcke, Ivan Bulyko:
RescoreBERT: Discriminative Speech Recognition Rescoring With Bert. ICASSP 2022: 6117-6121 - [c13]Nikko Strom, Haidar Khan, Wael Hamza:
Squashed Weight Distribution for Low Bit Quantization of Deep Models. INTERSPEECH 2022: 3953-3957 - [c12]Jack FitzGerald, Shankar Ananthakrishnan, Konstantine Arkoudas, Davide Bernardi, Abhishek Bhagia, Claudio Delli Bovi, Jin Cao, Rakesh Chada, Amit Chauhan, Luoxin Chen, Anurag Dwarakanath, Satyam Dwivedi, Turan Gojayev, Karthik Gopalakrishnan, Thomas Gueudré, Dilek Hakkani-Tur, Wael Hamza, Jonathan J. Hüser, Kevin Martin Jose, Haidar Khan, Beiye Liu, Jianhua Lu, Alessandro Manzotti, Pradeep Natarajan, Karolina Owczarzak, Gokmen Oz, Enrico Palumbo, Charith Peris, Chandana Satya Prakash, Stephen Rawls, Andy Rosenbaum, Anjali Shenoy, Saleh Soltan, Mukund Harakere Sridhar, Lizhen Tan, Fabian Triefenbach, Pan Wei, Haiyang Yu, Shuai Zheng, Gökhan Tür, Prem Natarajan:
Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding Systems. KDD 2022: 2893-2902 - [c11]Manoj Kumar, Yuval Merhav, Haidar Khan, Rahul Gupta, Anna Rumshisky, Wael Hamza:
Controlled Data Generation via Insertion Operations for NLU. NAACL-HLT (Industry Papers) 2022: 54-61 - [c10]Benjamin Kleiner, Jack G. M. Fitzgerald, Haidar Khan, Gohkan Tur:
Mixture of Domain Experts for Language Understanding: an Analysis of Modularity, Task Performance, and Memory Tradeoffs. SLT 2022: 346-352 - [c9]Weiqi Sun, Haidar Khan, Nicolas Guenon des Mesnards, Melanie Rubino, Konstantine Arkoudas:
Unfreeze with Care: Space-Efficient Fine-Tuning of Semantic Parsing Models. WWW 2022: 999-1007 - [i14]Liyan Xu, Yile Gu, Jari Kolehmainen, Haidar Khan, Ankur Gandhe, Ariya Rastrow, Andreas Stolcke, Ivan Bulyko:
RescoreBERT: Discriminative Speech Recognition Rescoring with BERT. CoRR abs/2202.01094 (2022) - [i13]Weiqi Sun, Haidar Khan, Nicolas Guenon des Mesnards, Melanie Rubino, Konstantine Arkoudas:
Unfreeze with Care: Space-Efficient Fine-Tuning of Semantic Parsing Models. CoRR abs/2203.02652 (2022) - [i12]Jack FitzGerald, Shankar Ananthakrishnan, Konstantine Arkoudas, Davide Bernardi, Abhishek Bhagia, Claudio Delli Bovi, Jin Cao, Rakesh Chada, Amit Chauhan, Luoxin Chen, Anurag Dwarakanath, Satyam Dwivedi, Turan Gojayev, Karthik Gopalakrishnan, Thomas Gueudré, Dilek Hakkani-Tur, Wael Hamza, Jonathan J. Hüser, Kevin Martin Jose, Haidar Khan, Beiye Liu, Jianhua Lu, Alessandro Manzotti, Pradeep Natarajan, Karolina Owczarzak, Gokmen Oz, Enrico Palumbo, Charith Peris, Chandana Satya Prakash, Stephen Rawls, Andy Rosenbaum, Anjali Shenoy, Saleh Soltan, Mukund Harakere Sridhar, Liz Tan, Fabian Triefenbach, Pan Wei, Haiyang Yu, Shuai Zheng, Gökhan Tür, Prem Natarajan:
Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding Systems. CoRR abs/2206.07808 (2022) - [i11]Saleh Soltan, Shankar Ananthakrishnan, Jack FitzGerald, Rahul Gupta, Wael Hamza, Haidar Khan, Charith Peris, Stephen Rawls, Andy Rosenbaum, Anna Rumshisky, Chandana Satya Prakash, Mukund Sridhar, Fabian Triefenbach, Apurv Verma, Gökhan Tür, Prem Natarajan:
AlexaTM 20B: Few-Shot Learning Using a Large-Scale Multilingual Seq2Seq Model. CoRR abs/2208.01448 (2022) - [i10]Konstantine Arkoudas, Nicolas Guenon des Mesnards, Melanie Rubino, Sandesh Swamy, Saarthak Khanna, Weiqi Sun, Haidar Khan:
PIZZA: A new benchmark for complex end-to-end task-oriented parsing. CoRR abs/2212.00265 (2022) - 2021
- [c8]Saleh Soltan, Haidar Khan, Wael Hamza:
Limitations of Knowledge Distillation for Zero-shot Transfer Learning. SustaiNLP@EMNLP 2021: 22-31 - [c7]Xinyue Liu, Mingda Li, Luoxin Chen, Prashan Wanigasekara, Weitong Ruan, Haidar Khan, Wael Hamza, Chengwei Su:
ASR N-Best Fusion Nets. ICASSP 2021: 7618-7622 - [i9]Daniel Park, Haidar Khan, Azer Khan, Alex Gittens, Bülent Yener:
Output Randomization: A Novel Defense for both White-box and Black-box Adversarial Models. CoRR abs/2107.03806 (2021) - 2020
- [c6]Qile Zhu, Haidar Khan, Saleh Soltan, Stephen Rawls, Wael Hamza:
Don't Parse, Insert: Multilingual Semantic Parsing with Insertion Based Decoding. CoNLL 2020: 496-506 - [c5]Prafull Prakash, Saurabh Kumar Shashidhar, Wenlong Zhao, Subendhu Rongali, Haidar Khan, Michael Kayser:
Compressing Transformer-Based Semantic Parsing Models using Compositional Code Embeddings. EMNLP (Findings) 2020: 4711-4717 - [c4]Charith Peris, Gokmen Oz, Khadige Abboud, Venkata sai Varada, Prashan Wanigasekara, Haidar Khan:
Using multiple ASR hypotheses to boost i18n NLU performance. ICON 2020: 30-39 - [i8]Qile Zhu, Haidar Khan, Saleh Soltan, Stephen Rawls, Wael Hamza:
Don't Parse, Insert: Multilingual Semantic Parsing with Insertion Based Decoding. CoRR abs/2010.03714 (2020) - [i7]Prafull Prakash, Saurabh Kumar Shashidhar, Wenlong Zhao, Subendhu Rongali, Haidar Khan, Michael Kayser:
Compressing Transformer-Based Semantic Parsing Models using Compositional Code Embeddings. CoRR abs/2010.05002 (2020) - [i6]Charith Peris, Gokmen Oz, Khadige Abboud, Venkata sai Varada, Prashan Wanigasekara, Haidar Khan:
Using multiple ASR hypotheses to boost i18n NLU performance. CoRR abs/2012.04099 (2020)
2010 – 2019
- 2019
- [b1]Haidar Khan:
Predicting change points in multivariate time series data. Rensselaer Polytechnic Institute, USA, 2019 - [c3]Daniel Park, Haidar Khan, Bülent Yener:
Generation & Evaluation of Adversarial Examples for Malware Obfuscation. ICMLA 2019: 1283-1290 - [i5]Daniel Park, Haidar Khan, Bülent Yener:
Short Paper: Creating Adversarial Malware Examples using Code Insertion. CoRR abs/1904.04802 (2019) - [i4]Haidar Khan, Daniel Park, Azer Khan, Bülent Yener:
Thwarting finite difference adversarial attacks with output randomization. CoRR abs/1905.09871 (2019) - [i3]Haidar Khan, Lara Marcuse, Bülent Yener:
Deep density ratio estimation for change point detection. CoRR abs/1905.09876 (2019) - [i2]Michael P. Perrone, Haidar Khan, Changhoan Kim, Anastasios Kyrillidis, Jerry Quinn, Valentina Salapura:
Optimal Mini-Batch Size Selection for Fast Gradient Descent. CoRR abs/1911.06459 (2019) - 2018
- [j1]Haidar Khan, Lara Marcuse, Madeline Fields, Kalina Swann, Bülent Yener:
Focal Onset Seizure Prediction Using Convolutional Networks. IEEE Trans. Biomed. Eng. 65(9): 2109-2118 (2018) - [c2]Haidar Khan, Bülent Yener:
Learning filter widths of spectral decompositions with wavelets. NeurIPS 2018: 4606-4617 - [i1]Haidar Khan, Lara Marcuse, Madeline Fields, Kalina Swann, Bülent Yener:
Focal onset seizure prediction using convolutional networks. CoRR abs/1805.11576 (2018) - 2014
- [c1]Ivan Bogun, Haidar Khan, Jacob Chen, Eraldo Ribeiro:
Interaction Recognition Using Sparse Portraits. ICPR 2014: 2531-2536
Coauthor Index
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last updated on 2024-11-15 20:39 CET by the dblp team
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