Ahmad Rashid
20 papers · 2019–2025 · 7 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+8 more ↓ Show less ↑
🏃 Academic Marathon (6) 🌍 Conference Polyglot (7) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (7)
🏃
Academic Marathon
(6)
🤝
Dynamic Duo
(18)
💎
Century Club
(20)
🔥
Unstoppable
(7)
⚡
Prolific Year
(8)
📈
Trend Setter
❓
The Questioner
🗃️
Keyword Collector
(68)
Conferences
EMNLP (7)
ACL (5)
NAACL (3)
IJCNLP (2)
AISTATS (1)
ICML (1)
UAI (1)
Top co-authors
Keywords
knowledge distillation
(10)
model compression
(8)
pre-trained language model
(4)
text generation
(4)
adversarial training
(3)
natural language understanding
(3)
masked language model
(2)
transfer learning
(2)
large language model
(2)
text perturbation
(2)
neural network
(2)
language model
(2)
generative adversarial network
(2)
parameter efficient
(2)
confidence calibration
(1)
natural language processing
(1)
dialogue generation
(1)
zero-shot learning
(1)
kl divergence
(1)
machine translation
(1)
Papers
Towards Cost-Effective Reward Guided Text Generation
ICML 2025
Preventing Arbitrarily High Confidence on Far-Away Data in Point-Estimated Discriminative Neural Networks
AISTATS 2024
Efficient Citer: Tuning Large Language Models for Enhanced Answer Quality and Verification
NAACL 2024
Attribute Controlled Dialogue Prompting
ACL 2023
LABO: Towards Learning Optimal Label Regularization via Bi-level Optimization
ACL 2023
Learning functions on multiple sets using multi-set transformers
UAI 2022
Kronecker Decomposition for GPT Compression
ACL 2022
Revisiting Pre-trained Language Models and their Evaluation for Arabic Natural Language Processing
EMNLP 2022
Improving Generalization of Pre-trained Language Models via Stochastic Weight Averaging
EMNLP 2022
Knowledge Distillation with Noisy Labels for Natural Language Understanding
EMNLP 2021
End-to-End Self-Debiasing Framework for Robust NLU Training
ACL 2021
Towards Zero-Shot Knowledge Distillation for Natural Language Processing
EMNLP 2021
How to Select One Among All ? An Empirical Study Towards the Robustness of Knowledge Distillation in Natural Language Understanding
EMNLP 2021
RW-KD: Sample-wise Loss Terms Re-Weighting for Knowledge Distillation
EMNLP 2021
MATE-KD: Masked Adversarial TExt, a Companion to Knowledge Distillation
ACL 2021
MATE-KD: Masked Adversarial TExt, a Companion to Knowledge Distillation
IJCNLP 2021
End-to-End Self-Debiasing Framework for Robust NLU Training
IJCNLP 2021
Improving Word Embedding Factorization for Compression Using Distilled Nonlinear Neural Decomposition
EMNLP 2020
Latent Code and Text-based Generative Adversarial Networks for Soft-text Generation
NAACL 2019
Bilingual-GAN: A Step Towards Parallel Text Generation
NAACL 2019