Md. Arafat Sultan

According to our database1, Md. Arafat Sultan authored at least 44 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
Prompts as Auto-Optimized Training Hyperparameters: Training Best-in-Class IR Models from Scratch with 10 Gold Labels.
CoRR, 2024

Self-Refinement of Language Models from External Proxy Metrics Feedback.
CoRR, 2024

An Empirical Investigation into the Effect of Parameter Choices in Knowledge Distillation.
CoRR, 2024

Structured Chain-of-Thought Prompting for Few-Shot Generation of Content-Grounded QA Conversations.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

FIRST: Faster Improved Listwise Reranking with Single Token Decoding.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Multistage Collaborative Knowledge Distillation from a Large Language Model for Semi-Supervised Sequence Generation.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Multistage Collaborative Knowledge Distillation from Large Language Models.
CoRR, 2023

Ensemble-Instruct: Generating Instruction-Tuning Data with a Heterogeneous Mixture of LMs.
CoRR, 2023

Inference-time Re-ranker Relevance Feedback for Neural Information Retrieval.
CoRR, 2023

Knowledge Distillation ≈ Label Smoothing: Fact or Fallacy?
CoRR, 2023

PrimeQA: The Prime Repository for State-of-the-Art Multilingual Question Answering Research and Development.
CoRR, 2023

UDAPDR: Unsupervised Domain Adaptation via LLM Prompting and Distillation of Rerankers.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Ensemble-Instruct: Instruction Tuning Data Generation with a Heterogeneous Mixture of LMs.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

PrimeQA: The Prime Repository for State-of-the-Art Multilingual Question Answering Research and Development.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2023

Moving Beyond Downstream Task Accuracy for Information Retrieval Benchmarking.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

GAAMA 2.0: An Integrated System That Answers Boolean and Extractive Questions.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
SPARTAN: Sparse Hierarchical Memory for Parameter-Efficient Transformers.
CoRR, 2022

Not to Overfit or Underfit? A Study of Domain Generalization in Question Answering.
CoRR, 2022

Entity-Conditioned Question Generation for Robust Attention Distribution in Neural Information Retrieval.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Learning Cross-Lingual IR from an English Retriever.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Not to Overfit or Underfit the Source Domains? An Empirical Study of Domain Generalization in Question Answering.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Towards Robust Neural Retrieval with Source Domain Synthetic Pre-Finetuning.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021
Towards Robust Neural Retrieval Models with Synthetic Pre-Training.
CoRR, 2021

Synthetic Target Domain Supervision for Open Retrieval QA.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

2020
End-to-End QA on COVID-19: Domain Adaptation with Synthetic Training.
CoRR, 2020

Improved Synthetic Training for Reading Comprehension.
CoRR, 2020

Multi-Stage Pre-training for Low-Resource Domain Adaptation.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Answer Span Correction in Machine Reading Comprehension.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

On the Importance of Diversity in Question Generation for QA.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

GPT-too: A Language-Model-First Approach for AMR-to-Text Generation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Cross-Task Knowledge Transfer for Query-Based Text Summarization.
Proceedings of the 2nd Workshop on Machine Reading for Question Answering, 2019

2016
A Joint Model for Answer Sentence Ranking and Answer Extraction.
Trans. Assoc. Comput. Linguistics, 2016

DLS$@$CU at SemEval-2016 Task 1: Supervised Models of Sentence Similarity.
Proceedings of the 10th International Workshop on Semantic Evaluation, 2016

Fast and Easy Short Answer Grading with High Accuracy.
Proceedings of the NAACL HLT 2016, 2016

Bayesian Supervised Domain Adaptation for Short Text Similarity.
Proceedings of the NAACL HLT 2016, 2016

Equity of Learning Opportunities in the Chicago City of Learning Program.
Proceedings of the 9th International Conference on Educational Data Mining, 2016

2015
DLS$@$CU: Sentence Similarity from Word Alignment and Semantic Vector Composition.
Proceedings of the 9th International Workshop on Semantic Evaluation, 2015

Feature-Rich Two-Stage Logistic Regression for Monolingual Alignment.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

2014
Back to Basics for Monolingual Alignment: Exploiting Word Similarity and Contextual Evidence.
Trans. Assoc. Comput. Linguistics, 2014

DLS$@$CU: Sentence Similarity from Word Alignment.
Proceedings of the 8th International Workshop on Semantic Evaluation, 2014

Towards automatic identification of core concepts in educational resources.
Proceedings of the IEEE/ACM Joint Conference on Digital Libraries, 2014

2013
DLS$@$CU-CORE: A Simple Machine Learning Model of Semantic Textual Similarity.
Proceedings of the Second Joint Conference on Lexical and Computational Semantics, 2013

2012
Identifying core concepts in educational resources.
Proceedings of the 12th ACM/IEEE-CS Joint Conference on Digital Libraries, 2012

Identifying science concepts and student misconceptions in an interactive essay writing tutor.
Proceedings of the Seventh Workshop on Building Educational Applications Using NLP, 2012


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