Haidar Khan

46 papers A* 4A 2B 2C 1Misc 2Journal 26Unranked 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
CRAG-MM: Multi-modal Multi-turn Comprehensive RAG Benchmark.
CoRR
Jiaqi Wang, Xiao Yang, Kai Sun, Parth Suresh, Sanat Sharma, Adam Czyzewski, Derek Andersen, Surya Teja Appini, Arkav Banerjee, Sajal Choudhary, Shervin Ghasemlou, Ziqiang Guan, Akil Iyer, Haidar Khan, Lingkun Kong, Roy Luo, Tiffany Ma, Zhen Qiao, David Tran, Wenfang Xu, Skyler Yeatman, Chen Zhou, Gunveer Gujral, Yinglong Xia, Shane Moon, Nicolas Scheffer, Nirav Shah, Eun Chang, Yue Liu, Florian Metze, Tammy Stark, Zhaleh Feizollahi, Andrea Jessee, Mangesh Pujari, Ahmed Aly, Babak Damavandi, Rakesh Wanga, Anuj Kumar, Rohit Patel, Wen-tau Yih, Xin Luna Dong
2025 J jnl
ConfQA: Answer Only If You Are Confident.
CoRR
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, Wen-tau Yih, Xin Luna Dong
2025 J jnl
Refine-n-Judge: Curating High-Quality Preference Chains for LLM-Fine-Tuning.
CoRR
Derin Cayir, Renjie Tao, Rashi Rungta, Kai Sun, Sean Chen, Haidar Khan, Minseok Kim, Julia Reinspach, Yue Liu
2025 J jnl
Stream RAG: Instant and Accurate Spoken Dialogue Systems with Streaming Tool Usage.
CoRR
Siddhant Arora, Haidar Khan, Kai Sun, Xin Luna Dong, Sajal Choudhary, Seungwhan Moon, Xinyuan Zhang, Adithya Sagar, Surya Teja Appini, Kaushik Patnaik, Sanat Sharma, Shinji Watanabe, Anuj Kumar, Ahmed Aly, Yue Liu, Florian Metze, Zhaojiang Lin
2025 — conf
ZeroSumEval: An Extensible Framework For Scaling LLM Evaluation with Inter-Model Competition.
ACL (3)
Hisham Abdullah Alyahya, Haidar Khan, Yazeed Alnumay, M. Saiful Bari, Bülent Yener
2025 J jnl
ZeroSumEval: An Extensible Framework For Scaling LLM Evaluation with Inter-Model Competition.
CoRR
Hisham Abdullah Alyahya, Haidar Khan, Yazeed Alnumay, M. Saiful Bari, Bülent Yener
2025 J jnl
ZeroSumEval: Scaling LLM Evaluation with Inter-Model Competition.
CoRR
Haidar Khan, Hisham Abdullah Alyahya, Yazeed Alnumay, M. Saiful Bari, Bülent Yener
2024 A* conf
A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and Recommendations.
EMNLP
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
2024 J jnl
A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and Recommendations.
CoRR
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
2024 J jnl
ALLaM: Large Language Models for Arabic and English.
CoRR
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
2024 — conf
When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model Leaderboards.
ACL (1)
Norah A. 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
2024 J jnl
When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model Leaderboards.
CoRR
Norah A. 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
2023 — conf
Controlling the Extraction of Memorized Data from Large Language Models via Prompt-Tuning.
ACL (2)
Mustafa Özdayi, Charith Peris, Jack FitzGerald, Christophe Dupuy, Jimit Majmudar, Haidar Khan, Rahil Parikh, Rahul Gupta
2023 J jnl
Controlling the Extraction of Memorized Data from Large Language Models via Prompt-Tuning.
CoRR
Mustafa Safa Özdayi, Charith Peris, Jack FitzGerald, Christophe Dupuy, Jimit Majmudar, Haidar Khan, Rahil Parikh, Rahul Gupta
2023 A conf
Low-Resource Compositional Semantic Parsing with Concept Pretraining.
EACL
Subendhu Rongali, Mukund Sridhar, Haidar Khan, Konstantine Arkoudas, Wael Hamza, Andrew McCallum
2023 J jnl
Low-Resource Compositional Semantic Parsing with Concept Pretraining.
CoRR
Subendhu Rongali, Mukund Sridhar, Haidar Khan, Konstantine Arkoudas, Wael Hamza, Andrew McCallum
2022 A* conf
Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding Systems.
KDD
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
2022 J jnl
Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding Systems.
CoRR
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
2022 J jnl
AlexaTM 20B: Few-Shot Learning Using a Large-Scale Multilingual Seq2Seq Model.
CoRR
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
2022 — conf
Controlled Data Generation via Insertion Operations for NLU.
NAACL-HLT (Industry Papers)
Manoj Kumar, Yuval Merhav, Haidar Khan, Rahul Gupta, Anna Rumshisky, Wael Hamza
2022 — conf
Mixture of Domain Experts for Language Understanding: an Analysis of Modularity, Task Performance, and Memory Tradeoffs.
SLT
Benjamin Kleiner, Jack G. M. Fitzgerald, Haidar Khan, Gohkan Tur
2022 J jnl
PIZZA: A new benchmark for complex end-to-end task-oriented parsing.
CoRR
Konstantine Arkoudas, Nicolas Guenon des Mesnards, Melanie Rubino, Sandesh Swamy, Saarthak Khanna, Weiqi Sun, Haidar Khan
2022 Misc conf
RescoreBERT: Discriminative Speech Recognition Rescoring With Bert.
ICASSP
Liyan Xu, Yile Gu, Jari Kolehmainen, Haidar Khan, Ankur Gandhe, Ariya Rastrow, Andreas Stolcke, Ivan Bulyko
2022 J jnl
RescoreBERT: Discriminative Speech Recognition Rescoring with BERT.
CoRR
Liyan Xu, Yile Gu, Jari Kolehmainen, Haidar Khan, Ankur Gandhe, Ariya Rastrow, Andreas Stolcke, Ivan Bulyko
2022 A conf
Squashed Weight Distribution for Low Bit Quantization of Deep Models.
INTERSPEECH
Nikko Strom, Haidar Khan, Wael Hamza
2022 A* conf
Unfreeze with Care: Space-Efficient Fine-Tuning of Semantic Parsing Models.
WWW
Weiqi Sun, Haidar Khan, Nicolas Guenon des Mesnards, Melanie Rubino, Konstantine Arkoudas
2022 J jnl
Unfreeze with Care: Space-Efficient Fine-Tuning of Semantic Parsing Models.
CoRR
Weiqi Sun, Haidar Khan, Nicolas Guenon des Mesnards, Melanie Rubino, Konstantine Arkoudas
2021 Misc conf
ASR N-Best Fusion Nets.
ICASSP
Xinyue Liu, Mingda Li, Luoxin Chen, Prashan Wanigasekara, Weitong Ruan, Haidar Khan, Wael Hamza, Chengwei Su
2021 — conf
Limitations of Knowledge Distillation for Zero-shot Transfer Learning.
SustaiNLP@EMNLP
Saleh Soltan, Haidar Khan, Wael Hamza
2021 J jnl
Output Randomization: A Novel Defense for both White-box and Black-box Adversarial Models.
CoRR
Daniel Park, Haidar Khan, Azer Khan, Alex Gittens, Bülent Yener
2020 — conf
Compressing Transformer-Based Semantic Parsing Models using Compositional Code Embeddings.
EMNLP (Findings)
Prafull Prakash, Saurabh Kumar Shashidhar, Wenlong Zhao, Subendhu Rongali, Haidar Khan, Michael Kayser
2020 J jnl
Compressing Transformer-Based Semantic Parsing Models using Compositional Code Embeddings.
CoRR
Prafull Prakash, Saurabh Kumar Shashidhar, Wenlong Zhao, Subendhu Rongali, Haidar Khan, Michael Kayser
2020 B conf
Don't Parse, Insert: Multilingual Semantic Parsing with Insertion Based Decoding.
CoNLL
Qile Zhu, Haidar Khan, Saleh Soltan, Stephen Rawls, Wael Hamza
2020 J jnl
Don't Parse, Insert: Multilingual Semantic Parsing with Insertion Based Decoding.
CoRR
Qile Zhu, Haidar Khan, Saleh Soltan, Stephen Rawls, Wael Hamza
2020 — conf
Using multiple ASR hypotheses to boost i18n NLU performance.
ICON
Charith Peris, Gokmen Oz, Khadige Abboud, Venkata sai Varada, Prashan Wanigasekara, Haidar Khan
2020 J jnl
Using multiple ASR hypotheses to boost i18n NLU performance.
CoRR
Charith Peris, Gokmen Oz, Khadige Abboud, Venkata sai Varada, Prashan Wanigasekara, Haidar Khan
2019 J jnl
Deep density ratio estimation for change point detection.
CoRR
Haidar Khan, Lara Marcuse, Bülent Yener
2019 C conf
Generation & Evaluation of Adversarial Examples for Malware Obfuscation.
ICMLA
Daniel Park, Haidar Khan, Bülent Yener
2019 J jnl
Optimal Mini-Batch Size Selection for Fast Gradient Descent.
CoRR
Michael P. Perrone, Haidar Khan, Changhoan Kim, Anastasios Kyrillidis, Jerry Quinn, Valentina Salapura
2019 — —
Predicting change points in multivariate time series data.
Haidar Khan
2019 J jnl
Short Paper: Creating Adversarial Malware Examples using Code Insertion.
CoRR
Daniel Park, Haidar Khan, Bülent Yener
2019 J jnl
Thwarting finite difference adversarial attacks with output randomization.
CoRR
Haidar Khan, Daniel Park, Azer Khan, Bülent Yener
2018 J jnl
Focal Onset Seizure Prediction Using Convolutional Networks.
IEEE Trans. Biomed. Eng.
Haidar Khan, Lara Marcuse, Madeline Fields, Kalina Swann, Bülent Yener
2018 J jnl
Focal onset seizure prediction using convolutional networks.
CoRR
Haidar Khan, Lara Marcuse, Madeline Fields, Kalina Swann, Bülent Yener
2018 A* conf
Learning filter widths of spectral decompositions with wavelets.
NeurIPS
Haidar Khan, Bülent Yener
2014 B conf
Interaction Recognition Using Sparse Portraits.
ICPR
Ivan Bogun, Haidar Khan, Jacob Chen, Eraldo Ribeiro