Interaction Recognition Using Sparse Portraits. - Ivan Bogun; Haidar Khan; Jacob Chen; Eraldo Ribeiro (ICPR, 2014)

Learning filter widths of spectral decompositions with wavelets. - Haidar Khan; Bülent Yener (NeurIPS, 2018)

Focal Onset Seizure Prediction Using Convolutional Networks. - Haidar Khan; Lara Marcuse; Madeline Fields; Kalina Swann; Bülent Yener (IEEE Trans. Biomed. Eng., 2018)

Generation & Evaluation of Adversarial Examples for Malware Obfuscation. - Daniel Park; Haidar Khan; Bülent Yener (ICMLA, 2019)

Short Paper: Creating Adversarial Malware Examples using Code Insertion. - Daniel Park; Haidar Khan; Bülent Yener (CoRR, 2019)

Thwarting finite difference adversarial attacks with output randomization. - Haidar Khan; Daniel Park; Azer Khan; Bülent Yener (CoRR, 2019)

Deep density ratio estimation for change point detection. - Haidar Khan; Lara Marcuse; Bülent Yener (CoRR, 2019)

Optimal Mini-Batch Size Selection for Fast Gradient Descent. - Michael P. Perrone; Haidar Khan; Changhoan Kim; Anastasios Kyrillidis; Jerry Quinn; Valentina Salapura (CoRR, 2019)

Predicting change points in multivariate time series data. - Haidar Khan (2019)

Don't Parse, Insert: Multilingual Semantic Parsing with Insertion Based Decoding. - Qile Zhu; Haidar Khan; Saleh Soltan; Stephen Rawls; Wael Hamza (CoNLL, 2020)

Compressing Transformer-Based Semantic Parsing Models using Compositional Code Embeddings. - Prafull Prakash; Saurabh Kumar Shashidhar; Wenlong Zhao 001; Subendhu Rongali; Haidar Khan; Michael Kayser (EMNLP (Findings), 2020)

Using multiple ASR hypotheses to boost i18n NLU performance. - Charith Peris; Gokmen Oz; Khadige Abboud; Venkata sai Varada; Prashan Wanigasekara; Haidar Khan (ICON, 2020)

Limitations of Knowledge Distillation for Zero-shot Transfer Learning. - Saleh Soltan; Haidar Khan; Wael Hamza (SustaiNLP@EMNLP, 2021)

ASR N-Best Fusion Nets. - Xinyue Liu; Mingda Li; Luoxin Chen; Prashan Wanigasekara; Weitong Ruan; Haidar Khan; Wael Hamza; Chengwei Su (ICASSP, 2021)

Output Randomization: A Novel Defense for both White-box and Black-box Adversarial Models. - Daniel Park; Haidar Khan; Azer Khan; Alex Gittens; Bülent Yener (CoRR, 2021)

RescoreBERT: Discriminative Speech Recognition Rescoring With Bert. - Liyan Xu; Yile Gu; Jari Kolehmainen; Haidar Khan; Ankur Gandhe; Ariya Rastrow; Andreas Stolcke; Ivan Bulyko (ICASSP, 2022)

Squashed Weight Distribution for Low Bit Quantization of Deep Models. - Nikko Strom; Haidar Khan; Wael Hamza (INTERSPEECH, 2022)

Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding Systems. - Jack FitzGerald; Shankar Ananthakrishnan; Konstantine Arkoudas; Davide Bernardi; Abhishek Bhagia; Claudio Delli Bovi; Jin Cao 003; Rakesh Chada; Amit Chauhan; Luoxin Chen; Anurag Dwarakanath; Satyam Dwivedi; et al. (KDD, 2022)

Controlled Data Generation via Insertion Operations for NLU. - Manoj Kumar 007; Yuval Merhav; Haidar Khan; Rahul Gupta 001; Anna Rumshisky; Wael Hamza (NAACL-HLT (Industry Papers), 2022)

Mixture of Domain Experts for Language Understanding: an Analysis of Modularity, Task Performance, and Memory Tradeoffs. - Benjamin Kleiner; Jack G. M. Fitzgerald; Haidar Khan; Gohkan Tur (SLT, 2022)

Unfreeze with Care: Space-Efficient Fine-Tuning of Semantic Parsing Models. - Weiqi Sun; Haidar Khan; Nicolas Guenon des Mesnards; Melanie Rubino; Konstantine Arkoudas (WWW, 2022)

Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding Systems. - Jack FitzGerald; Shankar Ananthakrishnan; Konstantine Arkoudas; Davide Bernardi; Abhishek Bhagia; Claudio Delli Bovi; Jin Cao 003; Rakesh Chada; Amit Chauhan; Luoxin Chen; Anurag Dwarakanath; Satyam Dwivedi; et al. (CoRR, 2022)

AlexaTM 20B: Few-Shot Learning Using a Large-Scale Multilingual Seq2Seq Model. - Saleh Soltan; Shankar Ananthakrishnan; Jack FitzGerald; Rahul Gupta 001; Wael Hamza; Haidar Khan; Charith Peris; Stephen Rawls; Andy Rosenbaum; Anna Rumshisky; Chandana Satya Prakash; Mukund Sridhar; et al. (CoRR, 2022)

PIZZA: A new benchmark for complex end-to-end task-oriented parsing. - Konstantine Arkoudas; Nicolas Guenon des Mesnards; Melanie Rubino; Sandesh Swamy; Saarthak Khanna; Weiqi Sun; Haidar Khan (CoRR, 2022)

Controlling the Extraction of Memorized Data from Large Language Models via Prompt-Tuning. - Mustafa Özdayi; Charith Peris; Jack FitzGerald; Christophe Dupuy; Jimit Majmudar; Haidar Khan; Rahil Parikh; Rahul Gupta 001 (ACL (2), 2023)

Low-Resource Compositional Semantic Parsing with Concept Pretraining. - Subendhu Rongali; Mukund Sridhar; Haidar Khan; Konstantine Arkoudas; Wael Hamza; Andrew McCallum (EACL, 2023)

When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model Leaderboards. - 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 (ACL (1), 2024)

A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and Recommendations. - Md. Tahmid Rahman Laskar; Sawsan Alqahtani; M. Saiful Bari; Mizanur Rahman; Mohammad Abdullah Matin Khan; Haidar Khan; Israt Jahan; Amran Bhuiyan; Chee-Wei Tan 001; Md. Rizwan Parvez; Enamul Hoque; Shafiq Joty; et al. (EMNLP, 2024)

When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model Leaderboards. - 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 (CoRR, 2024)

ALLaM: Large Language Models for Arabic and English. - 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; et al. (CoRR, 2024)

ZeroSumEval: An Extensible Framework For Scaling LLM Evaluation with Inter-Model Competition. - Hisham Abdullah Alyahya; Haidar Khan; Yazeed Alnumay; M. Saiful Bari; Bülent Yener (CoRR, 2025)

ZeroSumEval: Scaling LLM Evaluation with Inter-Model Competition. - Haidar Khan; Hisham Abdullah Alyahya; Yazeed Alnumay; M. Saiful Bari; Bülent Yener (CoRR, 2025)

ConfQA: Answer Only If You Are Confident. - Yin Huang; Yifan Ethan Xu; Kai Sun; Vera Yan; Alicia Sun; Haidar Khan; Jimmy Nguyen; Mohammad Kachuee; Zhaojiang Lin; Yue Liu; Aaron Colak; Anuj Kumar; et al. (CoRR, 2025)

Refine-n-Judge: Curating High-Quality Preference Chains for LLM-Fine-Tuning. - Derin Cayir; Renjie Tao; Rashi Rungta; Kai Sun; Sean Chen; Haidar Khan; Minseok Kim; Julia Reinspach; Yue Liu (CoRR, 2025)