Identifying science concepts and student misconceptions in an interactive essay writing tutor. - Steven Bethard; Ifeyinwa Okoye; Md. Arafat Sultan; Haojie Hang; James H. Martin; Tamara Sumner (BEA@NAACL-HLT, 2012)

Identifying core concepts in educational resources. - James M. Foster; Md. Arafat Sultan; Holly Devaul; Ifeyinwa Okoye; Tamara Sumner (JCDL, 2012)

DLS$@$CU-CORE: A Simple Machine Learning Model of Semantic Textual Similarity. - Md. Arafat Sultan; Steven Bethard; Tamara Sumner (*SEM@NAACL-HLT, 2013)

Towards automatic identification of core concepts in educational resources. - Md. Arafat Sultan; Steven Bethard; Tamara Sumner (JCDL, 2014)

DLS$@$CU: Sentence Similarity from Word Alignment. - Md. Arafat Sultan; Steven Bethard; Tamara Sumner (SemEval@COLING, 2014)

Back to Basics for Monolingual Alignment: Exploiting Word Similarity and Contextual Evidence. - Md. Arafat Sultan; Steven Bethard; Tamara Sumner (Trans. Assoc. Comput. Linguistics, 2014)

Feature-Rich Two-Stage Logistic Regression for Monolingual Alignment. - Md. Arafat Sultan; Steven Bethard; Tamara Sumner (EMNLP, 2015)

DLS$@$CU: Sentence Similarity from Word Alignment and Semantic Vector Composition. - Md. Arafat Sultan; Steven Bethard; Tamara Sumner (SemEval@NAACL-HLT, 2015)

Equity of Learning Opportunities in the Chicago City of Learning Program. - David Quigley; Ogheneovo Dibie; Md. Arafat Sultan; Katie Van Horne; William R. Penuel; Tamara Sumner; Ugochi Acholonu; Nichole Pinkard (EDM, 2016)

Bayesian Supervised Domain Adaptation for Short Text Similarity. - Md. Arafat Sultan; Jordan L. Boyd-Graber; Tamara Sumner (HLT-NAACL, 2016)

Fast and Easy Short Answer Grading with High Accuracy. - Md. Arafat Sultan; Cristobal Salazar; Tamara Sumner (HLT-NAACL, 2016)

DLS$@$CU at SemEval-2016 Task 1: Supervised Models of Sentence Similarity. - Md. Arafat Sultan; Steven Bethard; Tamara Sumner (SemEval@NAACL-HLT, 2016)

A Joint Model for Answer Sentence Ranking and Answer Extraction. - Md. Arafat Sultan; Vittorio Castelli; Radu Florian (Trans. Assoc. Comput. Linguistics, 2016)

Cross-Task Knowledge Transfer for Query-Based Text Summarization. - Elozino Egonmwan; Vittorio Castelli; Md. Arafat Sultan (MRQA@EMNLP, 2019)

GPT-too: A Language-Model-First Approach for AMR-to-Text Generation. - Manuel Mager; Ramón Fernandez Astudillo; Tahira Naseem; Md. Arafat Sultan; Young-Suk Lee 001; Radu Florian; Salim Roukos (ACL, 2020)

On the Importance of Diversity in Question Generation for QA. - Md. Arafat Sultan; Shubham Chandel; Ramón Fernandez Astudillo; Vittorio Castelli (ACL, 2020)

Answer Span Correction in Machine Reading Comprehension. - Revanth Gangi Reddy; Md. Arafat Sultan; Efsun Sarioglu Kayi; Rong Zhang 010; Vittorio Castelli; Avirup Sil (EMNLP (Findings), 2020)

Multi-Stage Pre-training for Low-Resource Domain Adaptation. - Rong Zhang 010; Revanth Gangi Reddy; Md. Arafat Sultan; Vittorio Castelli; Anthony Ferritto; Radu Florian; Efsun Sarioglu Kayi; Salim Roukos; Avirup Sil; Todd Ward (EMNLP (1), 2020)

Improved Synthetic Training for Reading Comprehension. - Yanda Chen; Md. Arafat Sultan; Vittorio Castelli (CoRR, 2020)

End-to-End QA on COVID-19: Domain Adaptation with Synthetic Training. - Revanth Gangi Reddy; Bhavani Iyer; Md. Arafat Sultan; Rong Zhang 010; Avi Sil; Vittorio Castelli; Radu Florian; Salim Roukos (CoRR, 2020)

Synthetic Target Domain Supervision for Open Retrieval QA. - Revanth Gangi Reddy; Bhavani Iyer; Md. Arafat Sultan; Rong Zhang 010; Avirup Sil; Vittorio Castelli; Radu Florian; Salim Roukos (SIGIR, 2021)

Towards Robust Neural Retrieval Models with Synthetic Pre-Training. - Revanth Gangi Reddy; Vikas Yadav; Md. Arafat Sultan; Martin Franz; Vittorio Castelli; Heng Ji 001; Avirup Sil (CoRR, 2021)

Towards Robust Neural Retrieval with Source Domain Synthetic Pre-Finetuning. - Revanth Gangi Reddy; Vikas Yadav; Md. Arafat Sultan; Martin Franz; Vittorio Castelli; Heng Ji 001; Avirup Sil (COLING, 2022)

Not to Overfit or Underfit the Source Domains? An Empirical Study of Domain Generalization in Question Answering. - Md. Arafat Sultan; Avi Sil; Radu Florian (EMNLP, 2022)

Learning Cross-Lingual IR from an English Retriever. - Yulong Li; Martin Franz; Md. Arafat Sultan; Bhavani Iyer; Young-Suk Lee 001; Avirup Sil (NAACL-HLT, 2022)

Entity-Conditioned Question Generation for Robust Attention Distribution in Neural Information Retrieval. - Revanth Gangi Reddy; Md. Arafat Sultan; Martin Franz; Avirup Sil; Heng Ji 001 (SIGIR, 2022)

Not to Overfit or Underfit? A Study of Domain Generalization in Question Answering. - Md. Arafat Sultan; Avirup Sil; Radu Florian (CoRR, 2022)

SPARTAN: Sparse Hierarchical Memory for Parameter-Efficient Transformers. - Ameet Deshpande; Md. Arafat Sultan; Anthony Ferritto; Ashwin Kalyan; Karthik Narasimhan; Avirup Sil (CoRR, 2022)

GAAMA 2.0: An Integrated System That Answers Boolean and Extractive Questions. - J. Scott McCarley; Mihaela A. Bornea; Sara Rosenthal; Anthony Ferritto; Md. Arafat Sultan; Avirup Sil; Radu Florian (AAAI, 2023)

Moving Beyond Downstream Task Accuracy for Information Retrieval Benchmarking. - Keshav Santhanam; Jon Saad-Falcon; Martin Franz; Omar Khattab; Avi Sil; Radu Florian; Md. Arafat Sultan; Salim Roukos; Matei Zaharia; Christopher Potts (ACL (Findings), 2023)

PrimeQA: The Prime Repository for State-of-the-Art Multilingual Question Answering Research and Development. - Avi Sil; Jaydeep Sen; Bhavani Iyer; Martin Franz; Kshitij Fadnis; Mihaela A. Bornea; Sara Rosenthal; J. Scott McCarley; Rong Zhang 010; Vishwajeet Kumar; Yulong Li; Md. Arafat Sultan; et al. (ACL (demo), 2023)

Ensemble-Instruct: Instruction Tuning Data Generation with a Heterogeneous Mixture of LMs. - Young-Suk Lee 001; Md. Arafat Sultan; Yousef El-Kurdi; Tahira Naseem; Asim Munawar; Radu Florian; Salim Roukos; Ramón Fernandez Astudillo (EMNLP (Findings), 2023)

UDAPDR: Unsupervised Domain Adaptation via LLM Prompting and Distillation of Rerankers. - Jon Saad-Falcon; Omar Khattab; Keshav Santhanam; Radu Florian; Martin Franz; Salim Roukos; Avirup Sil; Md. Arafat Sultan; Christopher Potts (EMNLP, 2023)

PrimeQA: The Prime Repository for State-of-the-Art Multilingual Question Answering Research and Development. - Avirup Sil; Jaydeep Sen; Bhavani Iyer; Martin Franz; Kshitij Fadnis; Mihaela A. Bornea; Sara Rosenthal; J. Scott McCarley; Rong Zhang 010; Vishwajeet Kumar; Yulong Li; Md. Arafat Sultan; et al. (CoRR, 2023)

Knowledge Distillation ≈ Label Smoothing: Fact or Fallacy? - Md. Arafat Sultan (CoRR, 2023)

Inference-time Re-ranker Relevance Feedback for Neural Information Retrieval. - Revanth Gangi Reddy; Pradeep Dasigi; Md. Arafat Sultan; Arman Cohan; Avirup Sil; Heng Ji 001; Hannaneh Hajishirzi (CoRR, 2023)

Ensemble-Instruct: Generating Instruction-Tuning Data with a Heterogeneous Mixture of LMs. - Young-Suk Lee 001; Md. Arafat Sultan; Yousef El-Kurdi; Tahira Naseem; Asim Munawar; Radu Florian; Salim Roukos; Ramón Fernandez Astudillo (CoRR, 2023)

Multistage Collaborative Knowledge Distillation from Large Language Models. - Jiachen Zhao; Wenlong Zhao 001; Andrew Drozdov; Benjamin Rozonoyer; Md. Arafat Sultan; Jay-Yoon Lee; Mohit Iyyer; Andrew McCallum (CoRR, 2023)

Multistage Collaborative Knowledge Distillation from a Large Language Model for Semi-Supervised Sequence Generation. - Jiachen Zhao; Wenlong Zhao 001; Andrew Drozdov; Benjamin Rozonoyer; Md. Arafat Sultan; Jay-Yoon Lee; Mohit Iyyer; Andrew McCallum (ACL (1), 2024)

FIRST: Faster Improved Listwise Reranking with Single Token Decoding. - Revanth Gangi Reddy; JaeHyeok Doo; Yifei Xu; Md. Arafat Sultan; Deevya Swain; Avirup Sil; Heng Ji 001 (EMNLP, 2024)

Structured Chain-of-Thought Prompting for Few-Shot Generation of Content-Grounded QA Conversations. - Md. Arafat Sultan; Jatin Ganhotra; Ramón Fernandez Astudillo (EMNLP (Findings), 2024)

An Empirical Investigation into the Effect of Parameter Choices in Knowledge Distillation. - Md. Arafat Sultan; Aashka Trivedi; Parul Awasthy; Avirup Sil (CoRR, 2024)

Self-Refinement of Language Models from External Proxy Metrics Feedback. - Keshav Ramji; Young-Suk Lee 001; Ramón Fernandez Astudillo; Md. Arafat Sultan; Tahira Naseem; Asim Munawar; Radu Florian; Salim Roukos (CoRR, 2024)

Prompts as Auto-Optimized Training Hyperparameters: Training Best-in-Class IR Models from Scratch with 10 Gold Labels. - Jasper Xian; Saron Samuel; Faraz Khoubsirat; Ronak Pradeep; Md. Arafat Sultan; Radu Florian; Salim Roukos; Avirup Sil; Christopher Potts; Omar Khattab (CoRR, 2024)

ReFIT: Reranker Relevance Feedback during Inference. - Revanth Gangi Reddy; Pradeep Dasigi; Md. Arafat Sultan; Arman Cohan; Avirup Sil; Heng Ji 001; Hannaneh Hajishirzi (IEEE Data Eng. Bull., 2024)

A Large-Scale Study of Reranker Relevance Feedback at Inference. - Revanth Gangi Reddy; Pradeep Dasigi; Md. Arafat Sultan; Arman Cohan; Avirup Sil; Heng Ji 001; Hannaneh Hajishirzi (SIGIR, 2025)

Granite Embedding Models. - Parul Awasthy; Aashka Trivedi; Yulong Li; Mihaela A. Bornea; David Cox; Abraham Daniels; Martin Franz; Gabe Goodhart; Bhavani Iyer; Vishwajeet Kumar; Luis A. Lastras; J. Scott McCarley; et al. (CoRR, 2025)

Optimal Policy Minimum Bayesian Risk. - Ramón Fernandez Astudillo; Md. Arafat Sultan; Aashka Trivedi; Yousef El-Kurdi; Tahira Naseem; Radu Florian; Salim Roukos (CoRR, 2025)