Esin Durmus
Artificial Intelligence · 2018–2024
A researcher in the Science corpus: 19 papers; trusts 346 researchers and is trusted by 42 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 569 citations into it; #5,730 of 35,345 by trust here, #1,196 by citations
- Natural Language Processing — 423 citations into it; #1,247 of 5,688 by trust here, #1,046 by citations
- Evaluation & Benchmarks — 212 citations into it; #653 of 3,147 by trust here, #389 by citations
- Computer Vision and Pattern Recognition — 119 citations into it
- Large Language Models — 103 citations into it
- Safety, Robustness & Interpretability — 88 citations into it
- Information Systems — 48 citations into it
- Sociology and Political Science — 36 citations into it
Whom Esin Durmus trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Ilya Sutskever
- Diederik P. Kingma
- Christopher D. Manning
- Alex Krizhevsky
- Richard Socher
- Alec Radford
- Yann LeCun
- Kaiming He
Who trusts Esin Durmus overall
- Tanya Goyal
- Faisal Ladhak
- Nouha Dziri
- Sebastian Gehrmann
- Tianyi Zhang
- Vidhisha Balachandran
- Shuyang Cao
- Alexander R. Fabbri
- Mingqi Gao
- Richard Yuanzhe Pang
Papers from Esin Durmus's perspective
Ordered by how strongly the researchers Esin Durmus trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- 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)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
Their papers
- On the Opportunities and Risks of Foundation Models (2021) — 6,923 citations
- The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics (2021) — 329 citations
- WikiLingua: A New Benchmark Dataset for Multilingual Abstractive Summarization (2020) — 234 citations
- Holistic Evaluation of Language Models (2023) — 1,863 citations
- FEQA: A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarization (2020) — 475 citations
- GEMv2: Multilingual NLG Benchmarking in a Single Line of Code (2022) — 43 citations
- Faithful or Extractive? On Mitigating the Faithfulness-Abstractiveness Trade-off in Abstractive Summarization (2021) — 74 citations
- Benchmarking Large Language Models for News Summarization (2023) — 820 citations
- Whose Opinions Do Language Models Reflect? (2023) — 917 citations
- Towards Understanding Sycophancy in Language Models (2023) — 1,082 citations
- Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale (2022) — 535 citations
- When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model Leaderboards (2024) — 153 citations
- Many-shot Jailbreaking (2024) — 300 citations
- Studying Large Language Model Generalization with Influence Functions (2023) — 343 citations
- Towards Measuring the Representation of Subjective Global Opinions in Language Models (2023) — 451 citations
- Measuring Faithfulness in Chain-of-Thought Reasoning (2023) — 499 citations
- Marked Personas: Using Natural Language Prompts to Measure Stereotypes in Language Models (2023) — 323 citations
- Spurious Correlations in Reference-Free Evaluation of Text Generation (2022) — 40 citations
- Understanding the Effect of Gender and Stance in Opinion Expression in Debates on “Abortion” (2018) — 7 citations