Ahmad Rashid

According to our database1, Ahmad Rashid authored at least 28 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Uncertainty-Guided Optimization on Large Language Model Search Trees.
CoRR, 2024

A Critical Look At Tokenwise Reward-Guided Text Generation.
CoRR, 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

Preventing Arbitrarily High Confidence on Far-Away Data in Point-Estimated Discriminative Neural Networks.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023
LABO: Towards Learning Optimal Label Regularization via Bi-level Optimization.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Attribute Controlled Dialogue Prompting.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Revisiting Pre-trained Language Models and their Evaluation for Arabic Natural Language Understanding.
CoRR, 2022

Learning functions on multiple sets using multi-set transformers.
Proceedings of the Uncertainty in Artificial Intelligence, 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

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

Kronecker Decomposition for GPT Compression.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

2021
Context-aware Adversarial Training for Name Regularity Bias in Named Entity Recognition.
Trans. Assoc. Comput. Linguistics, 2021

JABER: Junior Arabic BERt.
CoRR, 2021

A Short Study on Compressing Decoder-Based Language Models.
CoRR, 2021

How to Select One Among All? An Extensive Empirical Study Towards the Robustness of Knowledge Distillation in Natural Language Understanding.
CoRR, 2021

Robust Embeddings Via Distributions.
CoRR, 2021

NATURE: Natural Auxiliary Text Utterances for Realistic Spoken Language Evaluation.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Towards Zero-Shot Knowledge Distillation for Natural Language Processing.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

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

Knowledge Distillation with Noisy Labels for Natural Language Understanding.
Proceedings of the Seventh Workshop on Noisy User-generated Text, 2021

MATE-KD: Masked Adversarial TExt, a Companion to Knowledge Distillation.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

End-to-End Self-Debiasing Framework for Robust NLU Training.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
From Unsupervised Machine Translation to Adversarial Text Generation.
Proceedings of the 2020 IEEE International Conference on Acoustics, 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
Distilled embedding: non-linear embedding factorization using knowledge distillation.
CoRR, 2019

Bilingual-GAN: A Step Towards Parallel Text Generation.
CoRR, 2019

Latent Code and Text-based Generative Adversarial Networks for Soft-text Generation.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019


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