Ahmed Hassan Awadallah

Artificial Intelligence · 2013–2024

A researcher in the Science corpus: 14 papers; trusts 427 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 316 citations into it; #11,361 of 35,345 by trust here, #5,424 by citations
• Natural Language Processing — 199 citations into it; #2,056 of 5,688 by trust here, #1,626 by citations
• Computer Vision and Pattern Recognition — 79 citations into it; #10,997 of 21,575 by trust here, #17,258 by citations
• Safety, Robustness & Interpretability — 63 citations into it
• Large Language Models — 52 citations into it
• Evaluation & Benchmarks — 48 citations into it
• Information Systems — 42 citations into it; #4,785 of 8,771 by trust here, #2,307 by citations
• Representation & Self-Supervised Learning — 26 citations into it

Whom Ahmed Hassan Awadallah trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Yoshua Bengio
4. Ilya Sutskever
5. Alex Krizhevsky
6. Jimmy Ba
7. Richard Socher
8. Yann LeCun
9. Oriol Vinyals
10. Kaiming He

Who trusts Ahmed Hassan Awadallah overall

1. Ahmed Elgohary
2. Wenhui Wang
3. Manish Gupta
4. Hyung Won Chung
5. Yu Su
6. Puneet Agrawal
7. Kai Han

Papers from Ahmed Hassan Awadallah's perspective

Ordered by how strongly the researchers Ahmed Hassan Awadallah trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization (2021) — 488 citations
• NL-EDIT: Correcting Semantic Parse Errors through Natural Language Interaction (2021) — 53 citations
• Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models (2021) — 308 citations
• Orca: Progressive Learning from Complex Explanation Traces of GPT-4 (2023) — 421 citations
• Speak to your Parser: Interactive Text-to-SQL with Natural Language Feedback (2020) — 81 citations
• Gender Bias in Multilingual Embeddings and Cross-Lingual Transfer (2020) — 97 citations
• An Empirical Study of Metrics to Measure Representational Harms in Pre-Trained Language Models (2023) — 31 citations
• XtremeDistil: Multi-stage Distillation for Massive Multilingual Models (2020) — 65 citations
• Natural Language Interfaces with Fine-Grained User Interaction: A Case Study on Web APIs (2018) — 32 citations
• Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing (2024) — 356 citations
• AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation (2023) — 2,123 citations
• SCoRe: Pre-Training for Context Representation in Conversational Semantic Parsing (2021) — 75 citations
• Building Natural Language Interfaces to Web APIs (2017) — 64 citations
• Identifying Web Search Query Reformulation using Concept based Matching (2013) — 14 citations