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Mehdi Rezagholizadeh

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

60

Venues

13

Active years

2018–2025

Best venue rank

A*

Where they publish

Papers

60 indexed papers, newest first.

YearVenueTitleAuthors
2025ACLDo Robot Snakes Dream like Electric Sheep? Investigating the Effects of Architectural Inductive Biases on Hallucination.Jerry Huang, Prasanna Parthasarathi, Mehdi Rezagholizadeh, Boxing Chen, Sarath Chandar
2025EMNLPBalcony: A Lightweight Approach to Dynamic Inference of Generative Language Models.Benyamin Jamialahmadi, Parsa Kavehzadeh, Mehdi Rezagholizadeh, Parsa Farinneya, Hossein Rajabzadeh, Aref Jafari, Boxing Chen, Marzieh S. Tahaei
2025NAACLReGLA: Refining Gated Linear Attention.Peng Lu, Ivan Kobyzev, Mehdi Rezagholizadeh, Boxing Chen, Philippe Langlais
2024ACLOTTAWA: Optimal TransporT Adaptive Word Aligner for Hallucination and Omission Translation Errors Detection.Chenyang Huang, Abbas Ghaddar, Ivan Kobyzev, Mehdi Rezagholizadeh, Osmar Zaane, Boxing Chen
2024ACLEWEK-QA : Enhanced Web and Efficient Knowledge Graph Retrieval for Citation-based Question Answering Systems.Mohammad Dehghan, Mohammad Ali Alomrani, Sunyam Bagga, David Alfonso-Hermelo, Khalil Bibi, Abbas Ghaddar, Yingxue Zhang, Xiaoguang Li, Jianye Hao, Qun Liu, Jimmy Lin, Boxing Chen, Prasanna Parthasarathi, Mahdi Biparva, Mehdi Rezagholizadeh
2024ACLCHARP: Conversation History AwaReness Probing for Knowledge-grounded Dialogue Systems.Abbas Ghaddar, David Alfonso-Hermelo, Philippe Langlais, Mehdi Rezagholizadeh, Boxing Chen, Prasanna Parthasarathi
2024ACLResonance RoPE: Improving Context Length Generalization of Large Language Models.Suyuchen Wang, Ivan Kobyzev, Peng Lu, Mehdi Rezagholizadeh, Bang Liu
2024EACLSorted LLaMA: Unlocking the Potential of Intermediate Layers of Large Language Models for Dynamic Inference.Parsa Kavehzadeh, Mojtaba Valipour, Marzieh S. Tahaei, Ali Ghodsi, Boxing Chen, Mehdi Rezagholizadeh
2024EMNLPContext-Aware Assistant Selection for Improved Inference Acceleration with Large Language Models.Jerry Huang, Prasanna Parthasarathi, Mehdi Rezagholizadeh, Sarath Chandar
2024EMNLPDraft on the Fly: Adaptive Self-Speculative Decoding using Cosine Similarity.Michael R. Metel, Peng Lu, Boxing Chen, Mehdi Rezagholizadeh, Ivan Kobyzev
2024EMNLPCHIQ: Contextual History Enhancement for Improving Query Rewriting in Conversational Search.Fengran Mo, Abbas Ghaddar, Kelong Mao, Mehdi Rezagholizadeh, Boxing Chen, Qun Liu, Jian-Yun Nie
2024EMNLPQDyLoRA: Quantized Dynamic Low-Rank Adaptation for Efficient Large Language Model Tuning.Hossein Rajabzadeh, Mojtaba Valipour, Tianshu Zhu, Marzieh S. Tahaei, Hyock Ju Kwon, Ali Ghodsi, Boxing Chen, Mehdi Rezagholizadeh
2024EMNLP"Knowing When You Don't Know": A Multilingual Relevance Assessment Dataset for Robust Retrieval-Augmented Generation.Nandan Thakur, Luiz Bonifacio, Xinyu Zhang, Odunayo Ogundepo, Ehsan Kamalloo, David Alfonso-Hermelo, Xiaoguang Li, Qun Liu, Boxing Chen, Mehdi Rezagholizadeh, Jimmy Lin
2024IJCAIBeyond the Limits: A Survey of Techniques to Extend the Context Length in Large Language Models.Xindi Wang, Mahsa Salmani, Parsa Omidi, Xiangyu Ren, Mehdi Rezagholizadeh, Armaghan Eshaghi
2024NAACLEfficient Citer: Tuning Large Language Models for Enhanced Answer Quality and Verification.Marzieh S. Tahaei, Aref Jafari, Ahmad Rashid, David Alfonso-Hermelo, Khalil Bibi, Yimeng Wu, Ali Ghodsi, Boxing Chen, Mehdi Rezagholizadeh
2024SIGIRCIRAL: A Test Collection for CLIR Evaluations in African Languages.Mofetoluwa Adeyemi, Akintunde Oladipo, Xinyu Zhang, David Alfonso-Hermelo, Mehdi Rezagholizadeh, Boxing Chen, Abdul-Hakeem Omotayo, Idris Abdulmumin, Naome A. Etori, Toyib Babatunde Musa, Samuel Fanijo, Oluwabusayo Olufunke Awoyomi, Saheed Abdullahi Salahudeen, Labaran Adamu Mohammed, Daud Olamide Abolade, Falalu Ibrahim Lawan, Maryam Sabo Abubakar, Ruqayya Nasir Iro, Amina Abubakar Imam, Shafie Abdi Mohamed, Hanad Mohamud Mohamed, Tunde Oluwaseyi Ajayi, Jimmy Lin
2023ACLAraMUS: Pushing the Limits of Data and Model Scale for Arabic Natural Language Processing.Asaad Alghamdi, Xinyu Duan, Wei Jiang, Zhenhai Wang, Yimeng Wu, Qingrong Xia, Zhefeng Wang, Yi Zheng, Mehdi Rezagholizadeh, Baoxing Huai, Peilun Cheng, Abbas Ghaddar
2023ACLEvaluating Embedding APIs for Information Retrieval.Ehsan Kamalloo, Xinyu Zhang, Odunayo Ogundepo, Nandan Thakur, David Alfonso-Hermelo, Mehdi Rezagholizadeh, Jimmy Lin
2023ACLAttribute Controlled Dialogue Prompting.Runcheng Liu, Ahmad Rashid, Ivan Kobyzev, Mehdi Rezagholizadeh, Pascal Poupart
2023ACLLABO: Towards Learning Optimal Label Regularization via Bi-level Optimization.Peng Lu, Ahmad Rashid, Ivan Kobyzev, Mehdi Rezagholizadeh, Philippe Langlais
2023CoNLLOn the utility of enhancing BERT syntactic bias with Token Reordering Pretraining.Yassir El Mesbahi, Atif Mahmud, Abbas Ghaddar, Mehdi Rezagholizadeh, Philippe Langlais, Prasanna Parthasarathi
2023EACLPractical Takes on Federated Learning with Pretrained Language Models.Ankur Agarwal, Mehdi Rezagholizadeh, Prasanna Parthasarathi
2023EACLDo we need Label Regularization to Fine-tune Pre-trained Language Models?Ivan Kobyzev, Aref Jafari, Mehdi Rezagholizadeh, Tianda Li, Alan Do-Omri, Peng Lu, Pascal Poupart, Ali Ghodsi
2023EACLTowards Fine-tuning Pre-trained Language Models with Integer Forward and Backward Propagation.Mohammadreza Tayaranian, Alireza Ghaffari, Marzieh S. Tahaei, Mehdi Rezagholizadeh, Masoud Asgharian, Vahid Partovi Nia
2023EACLDyLoRA: Parameter-Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation.Mojtaba Valipour, Mehdi Rezagholizadeh, Ivan Kobyzev, Ali Ghodsi
2023EMNLPMeasuring the Knowledge Acquisition-Utilization Gap in Pretrained Language Models.Amirhossein Kazemnejad, Mehdi Rezagholizadeh, Prasanna Parthasarathi, Sarath Chandar
2023EMNLPEfficient Classification of Long Documents via State-Space Models.Peng Lu, Suyuchen Wang, Mehdi Rezagholizadeh, Bang Liu, Ivan Kobyzev
2023ICASSPRobustdistiller: Compressing Universal Speech Representations for Enhanced Environment Robustness.Heitor R. Guimares, Arthur Pimentel, Anderson R. Avila, Mehdi Rezagholizadeh, Boxing Chen, Tiago H. Falk
2022AAAIFrom Fully Trained to Fully Random Embeddings: Improving Neural Machine Translation with Compact Word Embedding Tables.Krtin Kumar, Peyman Passban, Mehdi Rezagholizadeh, Yiu Sing Lau, Qun Liu
2022ACLKronecker Decomposition for GPT Compression.Ali Edalati, Marzieh S. Tahaei, Ahmad Rashid, Vahid Partovi Nia, James J. Clark, Mehdi Rezagholizadeh
2022ACLWhen Chosen Wisely, More Data Is What You Need: A Universal Sample-Efficient Strategy For Data Augmentation.Ehsan Kamalloo, Mehdi Rezagholizadeh, Ali Ghodsi
2022COLINGCILDA: Contrastive Data Augmentation Using Intermediate Layer Knowledge Distillation.Md. Akmal Haidar, Mehdi Rezagholizadeh, Abbas Ghaddar, Khalil Bibi, Philippe Langlais, Pascal Poupart
2022COLINGPro-KD: Progressive Distillation by Following the Footsteps of the Teacher.Mehdi Rezagholizadeh, Aref Jafari, Puneeth S. M. Saladi, Pranav Sharma, Ali Saheb Pasand, Ali Ghodsi
2022COLINGDynamic Position Encoding for Transformers.Joyce Zheng, Mehdi Rezagholizadeh, Peyman Passban
2022EMNLPRevisiting Pre-trained Language Models and their Evaluation for Arabic Natural Language Processing.Abbas Ghaddar, Yimeng Wu, Sunyam Bagga, Ahmad Rashid, Khalil Bibi, Mehdi Rezagholizadeh, Chao Xing, Yasheng Wang, Xinyu Duan, Zhefeng Wang, Baoxing Huai, Xin Jiang, Qun Liu, Philippe Langlais
2022EMNLPContinuation KD: Improved Knowledge Distillation through the Lens of Continuation Optimization.Aref Jafari, Ivan Kobyzev, Mehdi Rezagholizadeh, Pascal Poupart, Ali Ghodsi
2022EMNLPImproving Generalization of Pre-trained Language Models via Stochastic Weight Averaging.Peng Lu, Ivan Kobyzev, Mehdi Rezagholizadeh, Ahmad Rashid, Ali Ghodsi, Philippe Langlais
2022NAACLRAIL-KD: RAndom Intermediate Layer Mapping for Knowledge Distillation.Md. Akmal Haidar, Nithin Anchuri, Mehdi Rezagholizadeh, Abbas Ghaddar, Philippe Langlais, Pascal Poupart
2022NAACLKroneckerBERT: Significant Compression of Pre-trained Language Models Through Kronecker Decomposition and Knowledge Distillation.Marzieh S. Tahaei, Ella Charlaix, Vahid Partovi Nia, Ali Ghodsi, Mehdi Rezagholizadeh
2022UAILearning functions on multiple sets using multi-set transformers.Kira A. Selby, Ahmad Rashid, Ivan Kobyzev, Mehdi Rezagholizadeh, Pascal Poupart
2021AAAIALP-KD: Attention-Based Layer Projection for Knowledge Distillation.Peyman Passban, Yimeng Wu, Mehdi Rezagholizadeh, Qun Liu
2021ACLEnd-to-End Self-Debiasing Framework for Robust NLU Training.Abbas Ghaddar, Philippe Langlais, Mehdi Rezagholizadeh, Ahmad Rashid
2021ACLNot Far Away, Not So Close: Sample Efficient Nearest Neighbour Data Augmentation via MiniMax.Ehsan Kamalloo, Mehdi Rezagholizadeh, Peyman Passban, Ali Ghodsi
2021ACLMATE-KD: Masked Adversarial TExt, a Companion to Knowledge Distillation.Ahmad Rashid, Vasileios Lioutas, Mehdi Rezagholizadeh
2021EACLAnnealing Knowledge Distillation.Aref Jafari, Mehdi Rezagholizadeh, Pranav Sharma, Ali Ghodsi
2021EMNLPHow to Select One Among All ? An Empirical Study Towards the Robustness of Knowledge Distillation in Natural Language Understanding.Tianda Li, Ahmad Rashid, Aref Jafari, Pranav Sharma, Ali Ghodsi, Mehdi Rezagholizadeh
2021EMNLPRW-KD: Sample-wise Loss Terms Re-Weighting for Knowledge Distillation.Peng Lu, Abbas Ghaddar, Ahmad Rashid, Mehdi Rezagholizadeh, Ali Ghodsi, Philippe Langlais
2021EMNLPTowards Zero-Shot Knowledge Distillation for Natural Language Processing.Ahmad Rashid, Vasileios Lioutas, Abbas Ghaddar, Mehdi Rezagholizadeh
2021EMNLPUniversal-KD: Attention-based Output-Grounded Intermediate Layer Knowledge Distillation.Yimeng Wu, Mehdi Rezagholizadeh, Abbas Ghaddar, Md. Akmal Haidar, Ali Ghodsi
2021ICASSPFine-Tuning of Pre-Trained End-to-End Speech Recognition with Generative Adversarial Networks.Md. Akmal Haidar, Mehdi Rezagholizadeh
2021InterspeechTransformer-Based ASR Incorporating Time-Reduction Layer and Fine-Tuning with Self-Knowledge Distillation.Md. Akmal Haidar, Chao Xing, Mehdi Rezagholizadeh
2020EMNLPImproving Word Embedding Factorization for Compression using Distilled Nonlinear Neural Decomposition.Vasileios Lioutas, Ahmad Rashid, Krtin Kumar, Md. Akmal Haidar, Mehdi Rezagholizadeh
2020EMNLPFully Quantized Transformer for Machine Translation.Gabriele Prato, Ella Charlaix, Mehdi Rezagholizadeh
2020EMNLPWhy Skip If You Can Combine: A Simple Knowledge Distillation Technique for Intermediate Layers.Yimeng Wu, Peyman Passban, Mehdi Rezagholizadeh, Qun Liu
2020ICASSPFrom Unsupervised Machine Translation to Adversarial Text Generation.Ahmad Rashid, Alan Do-Omri, Md. Akmal Haidar, Qun Liu, Mehdi Rezagholizadeh
2019ACLEditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing.Yue Dong, Zichao Li, Mehdi Rezagholizadeh, Jackie Chi Kit Cheung
2019AISALSA-TEXT: Self Attentive Latent Space Based Adversarial Text Generation.Jules Gagnon-Marchand, Hamed Sadeghi, Md. Akmal Haidar, Mehdi Rezagholizadeh
2019AITextKD-GAN: Text Generation Using Knowledge Distillation and Generative Adversarial Networks.Md. Akmal Haidar, Mehdi Rezagholizadeh
2019NAACLLatent Code and Text-based Generative Adversarial Networks for Soft-text Generation.Md. Akmal Haidar, Mehdi Rezagholizadeh, Alan Do-Omri, Ahmad Rashid
2018ICASSPReg-Gan: Semi-Supervised Learning Based on Generative Adversarial Networks for Regression.Mehdi Rezagholizadeh, Md. Akmal Haidar