Mehdi Rezagholizadeh
Orcid: 0000-0003-4014-6007
According to our database1,
Mehdi Rezagholizadeh
authored at least 106 papers
between 2013 and 2025.
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Bibliography
2025
CoRR, February, 2025
2024
CoRR, 2024
Do Robot Snakes Dream like Electric Sheep? Investigating the Effects of Architectural Inductive Biases on Hallucination.
CoRR, 2024
CoRR, 2024
S2D: Sorted Speculative Decoding For More Efficient Deployment of Nested Large Language Models.
CoRR, 2024
An Efficient End-to-End Approach to Noise Invariant Speech Features via Multi-Task Learning.
CoRR, 2024
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Efficient Citer: Tuning Large Language Models for Enhanced Answer Quality and Verification.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024
Beyond the Limits: A Survey of Techniques to Extend the Context Length in Large Language Models.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
"Knowing When You Don't Know": A Multilingual Relevance Assessment Dataset for Robust Retrieval-Augmented Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
QDyLoRA: Quantized Dynamic Low-Rank Adaptation for Efficient Large Language Model Tuning.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024
CHIQ: Contextual History Enhancement for Improving Query Rewriting in Conversational Search.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Context-Aware Assistant Selection for Improved Inference Acceleration with Large Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Sorted LLaMA: Unlocking the Potential of Intermediate Layers of Large Language Models for Dynamic Inference.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024
Proceedings of the Findings of the Association for Computational Linguistics, 2024
CHARP: Conversation History AwaReness Probing for Knowledge-grounded Dialogue Systems.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
EWEK-QA : Enhanced Web and Efficient Knowledge Graph Retrieval for Citation-based Question Answering Systems.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
OTTAWA: Optimal TransporT Adaptive Word Aligner for Hallucination and Omission Translation Errors Detection.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
2023
Trans. Assoc. Comput. Linguistics, 2023
NoMIRACL: Knowing When You Don't Know for Robust Multilingual Retrieval-Augmented Generation.
CoRR, 2023
On the Impact of Quantization and Pruning of Self-Supervised Speech Models for Downstream Speech Recognition Tasks "In-the-Wild".
CoRR, 2023
Sorted LLaMA: Unlocking the Potential of Intermediate Layers of Large Language Models for Dynamic Inference Using Sorted Fine-Tuning (SoFT).
CoRR, 2023
SortedNet, a Place for Every Network and Every Network in its Place: Towards a Generalized Solution for Training Many-in-One Neural Networks.
CoRR, 2023
CoRR, 2023
On the Transferability of Whisper-based Representations for "In-the-Wild" Cross-Task Downstream Speech Applications.
CoRR, 2023
An Exploration into the Performance of Unsupervised Cross-Task Speech Representations for "In the Wild" Edge Applications.
CoRR, 2023
Improved knowledge distillation by utilizing backward pass knowledge in neural networks.
CoRR, 2023
Robustdistiller: Compressing Universal Speech Representations for Enhanced Environment Robustness.
Proceedings of the IEEE International Conference on Acoustics, 2023
Overview of the CIRAL Track at FIRE 2023: Cross-lingual Information Retrieval for African Languages.
Proceedings of the Working Notes of FIRE 2023, 2023
Proceedings of the 15th Annual Meeting of the Forum for Information Retrieval Evaluation, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
DyLoRA: Parameter-Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023
Towards Fine-tuning Pre-trained Language Models with Integer Forward and Backward Propagation.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023
Proceedings of the 27th Conference on Computational Natural Language Learning, 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023
AraMUS: Pushing the Limits of Data and Model Scale for Arabic Natural Language Processing.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
Improving the Robustness of DistilHuBERT to Unseen Noisy Conditions via Data Augmentation, Curriculum Learning, and Multi-Task Enhancement.
CoRR, 2022
CoRR, 2022
Towards Understanding Label Regularization for Fine-tuning Pre-trained Language Models.
CoRR, 2022
Revisiting Pre-trained Language Models and their Evaluation for Arabic Natural Language Understanding.
CoRR, 2022
Proceedings of the Uncertainty in Artificial Intelligence, 2022
Simple Yet Effective Neural Ranking and Reranking Baselines for Cross-Lingual Information Retrieval.
Proceedings of the Thirty-First Text REtrieval Conference, 2022
Proceedings of the Thirty-First Text REtrieval Conference, 2022
KroneckerBERT: Significant Compression of Pre-trained Language Models Through Kronecker Decomposition and Knowledge Distillation.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022
Improving Generalization of Pre-trained Language Models via Stochastic Weight Averaging.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Continuation KD: Improved Knowledge Distillation through the Lens of Continuation Optimization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Revisiting Pre-trained Language Models and their Evaluation for Arabic Natural Language Processing.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Proceedings of the 29th International Conference on Computational Linguistics, 2022
CILDA: Contrastive Data Augmentation Using Intermediate Layer Knowledge Distillation.
Proceedings of the 29th International Conference on Computational Linguistics, 2022
When Chosen Wisely, More Data Is What You Need: A Universal Sample-Efficient Strategy For Data Augmentation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022
From Fully Trained to Fully Random Embeddings: Improving Neural Machine Translation with Compact Word Embedding Tables.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Context-aware Adversarial Training for Name Regularity Bias in Named Entity Recognition.
Trans. Assoc. Comput. Linguistics, 2021
CoRR, 2021
KroneckerBERT: Learning Kronecker Decomposition for Pre-trained Language Models via Knowledge Distillation.
CoRR, 2021
How to Select One Among All? An Extensive Empirical Study Towards the Robustness of Knowledge Distillation in Natural Language Understanding.
CoRR, 2021
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021
Transformer-Based ASR Incorporating Time-Reduction Layer and Fine-Tuning with Self-Knowledge Distillation.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021
Fine-Tuning of Pre-Trained End-to-End Speech Recognition with Generative Adversarial Networks.
Proceedings of the IEEE International Conference on Acoustics, 2021
Universal-KD: Attention-based Output-Grounded Intermediate Layer Knowledge Distillation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
How to Select One Among All ? An Empirical Study Towards the Robustness of Knowledge Distillation in Natural Language Understanding.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021
Proceedings of the Seventh Workshop on Noisy User-generated Text, 2021
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Not Far Away, Not So Close: Sample Efficient Nearest Neighbour Data Augmentation via MiniMax.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Why Skip If You Can Combine: A Simple Knowledge Distillation Technique for Intermediate Layers.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
Improving Word Embedding Factorization for Compression using Distilled Nonlinear Neural Decomposition.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
2019
CoRR, 2019
Distilled embedding: non-linear embedding factorization using knowledge distillation.
CoRR, 2019
TextKD-GAN: Text Generation using KnowledgeDistillation and Generative Adversarial Networks.
CoRR, 2019
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019
TextKD-GAN: Text Generation Using Knowledge Distillation and Generative Adversarial Networks.
Proceedings of the Advances in Artificial Intelligence, 2019
Proceedings of the Advances in Artificial Intelligence, 2019
EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
2018
Reg-Gan: Semi-Supervised Learning Based on Generative Adversarial Networks for Regression.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
2016
Proceedings of the Color Imaging XXI: Displaying, 2016
2015
Proceedings of the 12th Conference on Computer and Robot Vision, 2015
2014
Proceedings of the 22nd Color and Imaging Conference, 2014
Proceedings of the Canadian Conference on Computer and Robot Vision, 2014
2013
Proceedings of the 21st Color and Imaging Conference, 2013
Proceedings of the Tenth Conference on Computer and Robot Vision, 2013