Hassan Sajjad

Orcid: 0000-0002-8584-6595

Affiliations:
  • Dalhousie University, Faculty of Computer Science, Halifax, Canada
  • Hamad Bin Khalifa University, Qatar Computing Research Institute, Qatar (former)
  • University of Stuttgart, Institute for Natural Language Processing, Germany (PhD 2013)


According to our database1, Hassan Sajjad authored at least 105 papers between 2009 and 2024.

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

Timeline

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Bibliography

2024
Defending against Reverse Preference Attacks is Difficult.
CoRR, 2024

Resolving Lexical Bias in Edit Scoping with Projector Editor Networks.
CoRR, 2024

Reference-Guided Verdict: LLMs-as-Judges in Automatic Evaluation of Free-Form Text.
CoRR, 2024

Modality Invariant Multimodal Learning to Handle Missing Modalities: A Single-Branch Approach.
CoRR, 2024

Chameleon: Images Are What You Need For Multimodal Learning Robust To Missing Modalities.
CoRR, 2024

SUGARCREPE++ Dataset: Vision-Language Model Sensitivity to Semantic and Lexical Alterations.
CoRR, 2024

Exploiting the Layered Intrinsic Dimensionality of Deep Models for Practical Adversarial Training.
CoRR, 2024

Representation noising effectively prevents harmful fine-tuning on LLMs.
CoRR, 2024

Quantifying the Capabilities of LLMs across Scale and Precision.
CoRR, 2024

VISLA Benchmark: Evaluating Embedding Sensitivity to Semantic and Lexical Alterations.
CoRR, 2024

Latent Concept-based Explanation of NLP Models.
CoRR, 2024

Data-centric Prediction Explanation via Kernelized Stein Discrepancy.
CoRR, 2024

Immunization against harmful fine-tuning attacks.
CoRR, 2024

Long-form evaluation of model editing.
CoRR, 2024

Long-form evaluation of model editing.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Multilingual Nonce Dependency Treebanks: Understanding how Language Models Represent and Process Syntactic Structure.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

2023
Discovering Salient Neurons in deep NLP models.
J. Mach. Learn. Res., 2023

On the effect of dropping layers of pre-trained transformer models.
Comput. Speech Lang., 2023

Multilingual Nonce Dependency Treebanks: Understanding how LLMs represent and process syntactic structure.
CoRR, 2023

Evaluating Neuron Interpretation Methods of NLP Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Uncertainty for Unknown Domains with Zero-Target-Assumption.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

NxPlain: A Web-based Tool for Discovery of Latent Concepts.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics. EACL 2023, 2023

Knowledge Graph Based Trustworthy Medical Code Recommendations.
Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, 2023

NeuroX Library for Neuron Analysis of Deep NLP Models.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2023

Impact of Adversarial Training on Robustness and Generalizability of Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

ConceptX: A Framework for Latent Concept Analysis.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Neuron-level Interpretation of Deep NLP Models: A Survey.
Trans. Assoc. Comput. Linguistics, 2022

A clustering framework for lexical normalization of Roman Urdu.
Nat. Lang. Eng., 2022

Linguistic Correlation Analysis: Discovering Salient Neurons in deepNLP models.
CoRR, 2022

Analyzing Encoded Concepts in Transformer Language Models.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Discovering Latent Concepts Learned in BERT.
Proceedings of the Tenth International Conference on Learning Representations, 2022

On the Transformation of Latent Space in Fine-Tuned NLP Models.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Probing for Constituency Structure in Neural Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Effect of Post-processing on Contextualized Word Representations.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Post-hoc analysis of Arabic transformer models.
Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2022

2021
Compressing Large-Scale Transformer-Based Models: A Case Study on BERT.
Trans. Assoc. Comput. Linguistics, 2021

Fine-grained Interpretation and Causation Analysis in Deep NLP Models.
CoRR, 2021

CrisisBench: Benchmarking Crisis-related Social Media Datasets for Humanitarian Information Processing.
Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021

Fighting the COVID-19 Infodemic in Social Media: A Holistic Perspective and a Call to Arms.
Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021

Fighting the COVID-19 Infodemic: Modeling the Perspective of Journalists, Fact-Checkers, Social Media Platforms, Policy Makers, and the Society.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

How transfer learning impacts linguistic knowledge in deep NLP models?
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
Fighting the COVID-19 Infodemic: Modeling the Perspective of Journalists, Fact-Checkers, Social Media Platforms, Policy Makers, and the Society.
CoRR, 2020

Standardizing and Benchmarking Crisis-related Social Media Datasets for Humanitarian Information Processing.
CoRR, 2020

Exploiting Redundancy in Pre-trained Language Models for Efficient Transfer Learning.
CoRR, 2020

Poor Man's BERT: Smaller and Faster Transformer Models.
CoRR, 2020

On the Linguistic Representational Power of Neural Machine Translation Models.
Comput. Linguistics, 2020

Findings of the WMT 2020 Shared Task on Machine Translation Robustness.
Proceedings of the Fifth Conference on Machine Translation, 2020

Analyzing Individual Neurons in Pre-trained Language Models.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Analyzing Redundancy in Pretrained Transformer Models.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Are We Ready for this Disaster? Towards Location Mention Recognition from Crisis Tweets.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

AraBench: Benchmarking Dialectal Arabic-English Machine Translation.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Similarity Analysis of Contextual Word Representation Models.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Findings of the First Shared Task on Machine Translation Robustness.
Proceedings of the Fourth Conference on Machine Translation, 2019

Highly Effective Arabic Diacritization using Sequence to Sequence Modeling.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

One Size Does Not Fit All: Comparing NMT Representations of Different Granularities.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Identifying and Controlling Important Neurons in Neural Machine Translation.
Proceedings of the 7th International Conference on Learning Representations, 2019

A System for Diacritizing Four Varieties of Arabic.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

NeuroX: A Toolkit for Analyzing Individual Neurons in Neural Networks.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

What Is One Grain of Sand in the Desert? Analyzing Individual Neurons in Deep NLP Models.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Incremental Decoding and Training Methods for Simultaneous Translation in Neural Machine Translation.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

H2@BUCC18: Parallel Sentence Extraction from Comparable Corpora Using Multilingual Sentence Embeddings.
Proceedings of the 11th Workshop on Building and Using Comparable Corpora, 2018

2017
Domain adaptation using neural network joint model.
Comput. Speech Lang., 2017

QCRI Machine Translation Systems for IWSLT 16.
CoRR, 2017

Statistical Models for Unsupervised, Semi-Supervised, and Supervised Transliteration Mining.
Comput. Linguistics, 2017

Neural Machine Translation Training in a Multi-Domain Scenario.
Proceedings of the 14th International Conference on Spoken Language Translation, 2017

Understanding and Improving Morphological Learning in the Neural Machine Translation Decoder.
Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

Evaluating Layers of Representation in Neural Machine Translation on Part-of-Speech and Semantic Tagging Tasks.
Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

Robust Classification of Crisis-Related Data on Social Networks Using Convolutional Neural Networks.
Proceedings of the Eleventh International Conference on Web and Social Media, 2017


QCRI Live Speech Translation System.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Challenging Language-Dependent Segmentation for Arabic: An Application to Machine Translation and Part-of-Speech Tagging.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

What do Neural Machine Translation Models Learn about Morphology?
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Egyptian Arabic to English Statistical Machine Translation System for NIST OpenMT'2015.
CoRR, 2016

Applications of Online Deep Learning for Crisis Response Using Social Media Information.
CoRR, 2016

Rapid Classification of Crisis-Related Data on Social Networks using Convolutional Neural Networks.
CoRR, 2016

QCRI $@$ DSL 2016: Spoken Arabic Dialect Identification Using Textual Features.
Proceedings of the Third Workshop on NLP for Similar Languages, Varieties and Dialects, 2016

Eyes Don't Lie: Predicting Machine Translation Quality Using Eye Movement.
Proceedings of the NAACL HLT 2016, 2016

QCRI's Machine Translation Systems for IWSLT'16.
Proceedings of the 13th International Conference on Spoken Language Translation, 2016

A Deep Fusion Model for Domain Adaptation in Phrase-based MT.
Proceedings of the COLING 2016, 2016

An Empirical Study: Post-editing Effort for English to Arabic Hybrid Machine Translation.
Proceedings of the 12th Conferences of the Association for Machine Translation in the Americas: MT Users' Track, 2016

2015
Bridging social media via distant supervision.
Soc. Netw. Anal. Min., 2015

How do Humans Evaluate Machine Translation.
Proceedings of the Tenth Workshop on Statistical Machine Translation, 2015

QCMUQ$@$QALB-2015 Shared Task: Combining Character level MT and Error-tolerant Finite-State Recognition for Arabic Spelling Correction.
Proceedings of the Second Workshop on Arabic Natural Language Processing, 2015

Using joint models or domain adaptation in statistical machine translation.
Proceedings of Machine Translation Summit XV: Papers, 2015

Distant Supervision for Tweet Classification Using YouTube Labels.
Proceedings of the Ninth International Conference on Web and Social Media, 2015

An Unsupervised Method for Discovering Lexical Variations in Roman Urdu Informal Text.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

How to Avoid Unwanted Pregnancies: Domain Adaptation using Neural Network Models.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

2014
Understanding Types of Users on Twitter.
CoRR, 2014

Unsupervised Word Segmentation Improves Dialectal Arabic to English Machine Translation.
Proceedings of the EMNLP 2014 Workshop on Arabic Natural Language Processing, 2014

The AMARA Corpus: Building Parallel Language Resources for the Educational Domain.
Proceedings of the Ninth International Conference on Language Resources and Evaluation, 2014

Verifiably Effective Arabic Dialect Identification.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Integrating an Unsupervised Transliteration Model into Statistical Machine Translation.
Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, 2014

2013
Statistical models for unsupervised, semi-supervised and supervised transliteration mining.
PhD thesis, 2013

Munich-Edinburgh-Stuttgart Submissions at WMT13: Morphological and Syntactic Processing for SMT.
Proceedings of the Eighth Workshop on Statistical Machine Translation, 2013

QCRI-MES Submission at WMT13: Using Transliteration Mining to Improve Statistical Machine Translation.
Proceedings of the Eighth Workshop on Statistical Machine Translation, 2013

Munich-Edinburgh-Stuttgart Submissions of OSM Systems at WMT13.
Proceedings of the Eighth Workshop on Statistical Machine Translation, 2013

QCRI at IWSLT 2013: experiments in Arabic-English and English-Arabic spoken language translation.
Proceedings of the 10th International Workshop on Spoken Language Translation: Evaluation Campaign@IWSLT 2013, 2013

The AMARA corpus: building resources for translating the web's educational content.
Proceedings of the 10th International Workshop on Spoken Language Translation: Papers, 2013

Translating Dialectal Arabic to English.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012
Underspecified Query Refinement via Natural Language Question Generation.
Proceedings of the COLING 2012, 2012

A Statistical Model for Unsupervised and Semi-supervised Transliteration Mining.
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012

2011
Comparing Two Techniques for Learning Transliteration Models Using a Parallel Corpus.
Proceedings of the Fifth International Joint Conference on Natural Language Processing, 2011

An Algorithm for Unsupervised Transliteration Mining with an Application to Word Alignment.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011

2010
Hindi-to-Urdu Machine Translation through Transliteration.
Proceedings of the ACL 2010, 2010

2009
Tagging Urdu Text with Parts of Speech: A Tagger Comparison.
Proceedings of the EACL 2009, 12th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference, Athens, Greece, March 30, 2009


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