NLPExplorer

Ali Ghodsi

Number of Papers:- 16

Number of Citations:- 0

First ACL Paper:- 2021

Latest ACL Paper:- 2024

Venues:-

NAACL

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COLING

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EMNLP

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Findings

WNUT

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ACL

EACL

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Co-Authors:-

Ali Saheb Pasand

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

Marzieh Tahaei | Aref Jafari | Ahmad Rashid | David Alfonso-Hermelo | Khalil Bibi | Yimeng Wu | Ali Ghodsi | Boxing Chen | Mehdi Rezagholizadeh |

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

Parsa Kavehzadeh | Mojtaba Valipour | Marzieh Tahaei | Ali Ghodsi | Boxing Chen | Mehdi Rezagholizadeh |

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

Hossein Rajabzadeh | Mojtaba Valipour | Tianshu Zhu | Marzieh S. Tahaei | Hyock Ju Kwon | Ali Ghodsi | Boxing Chen | Mehdi Rezagholizadeh |

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

Ivan Kobyzev | Aref Jafari | Mehdi Rezagholizadeh | Tianda Li | Alan Do-omri | Peng Lu | Pascal Poupart | Ali Ghodsi |

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 |

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

Marzieh Tahaei | Ella Charlaix | Vahid Nia | Ali Ghodsi | Mehdi Rezagholizadeh |

Pro-KD: Progressive Distillation by Following the Footsteps of the Teacher COLING

Mehdi Rezagholizadeh | Aref Jafari | Puneeth S.M. Saladi | Pranav Sharma | Ali Saheb Pasand | Ali Ghodsi |

Improving Generalization of Pre-trained Language Models via Stochastic Weight Averaging F i n d i n g s - E M N L P

Peng Lu | Ivan Kobyzev | Mehdi Rezagholizadeh | Ahmad Rashid | Ali Ghodsi | Phillippe Langlais |

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

Aref Jafari | Ivan Kobyzev | Mehdi Rezagholizadeh | Pascal Poupart | Ali Ghodsi |

Annealing Knowledge Distillation EACL

Aref Jafari | Mehdi Rezagholizadeh | Pranav Sharma | Ali Ghodsi |

RW-KD: Sample-wise Loss Terms Re-Weighting for Knowledge Distillation EMNLP Findings

Peng Lu | Abbas Ghaddar | Ahmad Rashid | Mehdi Rezagholizadeh | Ali Ghodsi | Philippe Langlais |

Universal-KD: Attention-based Output-Grounded Intermediate Layer Knowledge Distillation EMNLP

Yimeng Wu | Mehdi Rezagholizadeh | Abbas Ghaddar | Md Akmal Haidar | Ali Ghodsi |

Not Far Away, Not So Close: Sample Efficient Nearest Neighbour Data Augmentation via MiniMax Findings

Ehsan Kamalloo | Mehdi Rezagholizadeh | Peyman Passban | Ali Ghodsi |

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

Tianda Li | Ahmad Rashid | Aref Jafari | Pranav Sharma | Ali Ghodsi | Mehdi Rezagholizadeh |

Knowledge Distillation with Noisy Labels for Natural Language Understanding EMNLP WNUT

Shivendra Bhardwaj | Abbas Ghaddar | Ahmad Rashid | Khalil Bibi | Chengyang Li | Ali Ghodsi | Phillippe Langlais | Mehdi Rezagholizadeh |

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