Nouha Dziri
Artificial Intelligence · 2019–2024
A researcher in the Science corpus: 12 papers; trusts 187 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 364 citations into it
- Natural Language Processing — 199 citations into it
- Large Language Models — 121 citations into it
- Evaluation & Benchmarks — 93 citations into it
- Computer Vision and Pattern Recognition — 75 citations into it
- Alignment & RLHF — 59 citations into it
- Information Systems — 40 citations into it
- Model Architectures — 18 citations into it
Whom Nouha Dziri trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoshua Bengio
- Ilya Sutskever
- Alex Krizhevsky
- Jimmy Ba
- Yann LeCun
- Alex Graves
- Kaiming He
- Ronald J. Williams
Who trusts Nouha Dziri overall
- Ziwei Ji
- Hannah Rashkin
- Haoyu Song
- Sashank Santhanam
- Wenliang Dai
- Yixin Nie
- Abdelrhman Saleh
- Chaitanya Malaviya
- Nayeon Lee
- Yang Liu
Papers from Nouha Dziri's perspective
Ordered by how strongly the researchers Nouha Dziri trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- Self-Refine: Iterative Refinement with Self-Feedback (2023) — 4,061 citations
- On the Origin of Hallucinations in Conversational Models: Is it the Datasets or the Models? (2022) — 237 citations
- Evaluating Attribution in Dialogue Systems: The BEGIN Benchmark (2021) — 102 citations
- Fine-Grained Human Feedback Gives Better Rewards for Language Model Training (2023) — 481 citations
- Neural Path Hunter: Reducing Hallucination in Dialogue Systems via Path Grounding (2021) — 161 citations
- The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning (2023) — 325 citations
- RewardBench: Evaluating Reward Models for Language Modeling (2024) — 450 citations
- Faith and Fate: Limits of Transformers on Compositionality (2023) — 650 citations
- WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild (2024) — 229 citations
- TÜLU 3: Pushing Frontiers in Open Language Model Post-Training (2024) — 775 citations
- WildGuard: Open One-Stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMs (2024) — 456 citations
- Evaluating Coherence in Dialogue Systems using Entailment (2019) — 106 citations