Ahmed Awadallah
15 papers · 2020–2024 · 8 conferences · across top CS/AI conferences
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ACL (3)
NAACL (3)
NIPS (3)
ECCV (2)
AAAI (1)
CVPR (1)
EACL (1)
EMNLP (1)
Top co-authors
Research topics
Keywords
text classification
(2)
few-shot learning
(2)
abstractive summarization
(2)
semi-supervised learning
(2)
large language model
(2)
text generation
(1)
knowledge distillation
(1)
anomaly detection
(1)
attention mechanism
(1)
model interpretability
(1)
noisy label learning
(1)
meeting summarization
(1)
direct preference optimization
(1)
prompt-based learning
(1)
natural language understanding
(1)
neural architecture search
(1)
low-resource learning
(1)
weak supervision
(1)
preference learning
(1)
vision transformer
(1)
Papers
Improving Grounded Language Understanding in a Collaborative Environment by Interacting with Agents Through Help Feedback
EACL 2024
Automatic Pair Construction for Contrastive Post-training
NAACL 2024
Axiomatic Preference Modeling for Longform Question Answering
EMNLP 2023
ADMoE: Anomaly Detection with Mixture-of-Experts from Noisy Labels
AAAI 2023
Pathologies of Pre-trained Language Models in Few-shot Fine-tuning
ACL 2022
DNA: Improving Few-Shot Transfer Learning with Low-Rank Decomposition and Alignment
ECCV 2022
Scalable Learning to Optimize: A Learned Optimizer Can Train Big Models
ECCV 2022
The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy
CVPR 2022
Few-shot Task-agnostic Neural Architecture Search for Distilling Large Language Models
NIPS 2022
SummN: A Multi-Stage Summarization Framework for Long Input Dialogues and Documents
ACL 2022
DYLE: Dynamic Latent Extraction for Abstractive Long-Input Summarization
ACL 2022
WALNUT: A Benchmark on Semi-weakly Supervised Learning for Natural Language Understanding
NAACL 2022
LiST: Lite Prompted Self-training Makes Parameter-efficient Few-shot Learners
NAACL 2022
Fairness via Representation Neutralization
NIPS 2021
Uncertainty-aware Self-training for Few-shot Text Classification
NIPS 2020