NLPExplorer

Mehdi Rezagholizadeh

Number of Papers:- 49

Number of Citations:- 0

First ACL Paper:- 2019

Latest ACL Paper:- 2024

Venues:-

NAACL

CoNLL

COLING

EMNLP

Findings

WNUT

TACL

ACL

EACL

IJCNLP

Co-Authors:-

Similar Authors:-

Efficient Citer: Tuning Large Language Models for Enhanced Answer Quality and Verification F i n d i n g s - N A A C L

Sorted LLaMA: Unlocking the Potential of Intermediate Layers of Large Language Models for Dynamic Inference F i n d i n g s - E A C L

CHARP: Conversation History AwaReness Probing for Knowledge-grounded Dialogue Systems F i n d i n g s - A C L

OTTAWA: Optimal TransporT Adaptive Word Aligner for Hallucination and Omission Translation Errors Detection F i n d i n g s - A C L

EWEK-QA : Enhanced Web and Efficient Knowledge Graph Retrieval for Citation-based Question Answering Systems ACL

Resonance RoPE: Improving Context Length Generalization of Large Language Models F i n d i n g s - A C L

Draft on the Fly: Adaptive Self-Speculative Decoding using Cosine Similarity F i n d i n g s - E M N L P

CHIQ: Contextual History Enhancement for Improving Query Rewriting in Conversational Search EMNLP

“Knowing When You Don’t Know”: A Multilingual Relevance Assessment Dataset for Robust Retrieval-Augmented Generation F i n d i n g s - E M N L P

QDyLoRA: Quantized Dynamic Low-Rank Adaptation for Efficient Large Language Model Tuning EMNLP

Context-Aware Assistant Selection for Improved Inference Acceleration with Large Language Models EMNLP

Jerry Huang | Prasanna Parthasarathi | Mehdi Rezagholizadeh | Sarath Chandar |

Towards Fine-tuning Pre-trained Language Models with Integer Forward and Backward Propagation F i n d i n g s - E A C L

Practical Takes on Federated Learning with Pretrained Language Models F i n d i n g s - E A C L

Ankur Agarwal | Mehdi Rezagholizadeh | Prasanna Parthasarathi |

DyLoRA: Parameter-Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation EACL

Mojtaba Valipour | Mehdi Rezagholizadeh | Ivan Kobyzev | Ali Ghodsi |

Do we need Label Regularization to Fine-tune Pre-trained Language Models? EACL

Attribute Controlled Dialogue Prompting F i n d i n g s - A C L

Measuring the Knowledge Acquisition-Utilization Gap in Pretrained Language Models F i n d i n g s - E M N L P

Amirhossein Kazemnejad | Mehdi Rezagholizadeh | Prasanna Parthasarathi | Sarath Chandar |

LABO: Towards Learning Optimal Label Regularization via Bi-level Optimization F i n d i n g s - A C L

Evaluating Embedding APIs for Information Retrieval ACL

On the utility of enhancing BERT syntactic bias with Token Reordering Pretraining CoNLL

Efficient Classification of Long Documents via State-Space Models EMNLP

MIRACL: A Multilingual Retrieval Dataset Covering 18 Diverse Languages TACL

AraMUS: Pushing the Limits of Data and Model Scale for Arabic Natural Language Processing F i n d i n g s - A C L

When Chosen Wisely, More Data Is What You Need: A Universal Sample-Efficient Strategy For Data Augmentation ACL Findings

Ehsan Kamalloo | Mehdi Rezagholizadeh | Ali Ghodsi |

Kronecker Decomposition for GPT Compression ACL

RAIL-KD: RAndom Intermediate Layer Mapping for Knowledge Distillation Findings NAACL

KroneckerBERT: Significant Compression of Pre-trained Language Models Through Kronecker Decomposition and Knowledge Distillation NAACL

Continuation KD: Improved Knowledge Distillation through the Lens of Continuation Optimization F i n d i n g s - E M N L P

How to Select One Among All ? An Empirical Study Towards the Robustness of Knowledge Distillation in Natural Language Understanding EMNLP Findings