NLPExplorer

Peng Lu

Number of Papers:- 8

Number of Citations:- 0

First ACL Paper:- 2019

Latest ACL Paper:- 2024

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NAACL

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

Suyuchen Wang | Ivan Kobyzev | Peng Lu | Mehdi Rezagholizadeh | Bang Liu |

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

Michael R. Metel | Peng Lu | Boxing Chen | Mehdi Rezagholizadeh | Ivan Kobyzev |

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 |

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

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

Efficient Classification of Long Documents via State-Space Models EMNLP

Peng Lu | Suyuchen Wang | Mehdi Rezagholizadeh | Bang Liu | Ivan Kobyzev |

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 |

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 |

SC-LSTM: Learning Task-Specific Representations in Multi-Task Learning for Sequence Labeling NAACL

Peng Lu | Ting Bai | Philippe Langlais |

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