Ilias Chalkidis
Artificial Intelligence · 2019–2022
A researcher in the Science corpus: 6 papers; trusts 107 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 112 citations into it; #20,793 of 35,345 by trust here, #16,471 by citations
- Natural Language Processing — 65 citations into it; #3,533 of 5,688 by trust here, #3,574 by citations
- Large Language Models — 29 citations into it
- Model Architectures — 25 citations into it
- Computer Vision and Pattern Recognition — 24 citations into it
- Political Science and International Relations — 21 citations into it; #2,643 of 4,701 by trust here, #1,205 by citations
- Safety, Robustness & Interpretability — 16 citations into it
- Law — 12 citations into it; #206 of 428 by trust here, #121 by citations
Whom Ilias Chalkidis trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Yoshua Bengio
- Jacob Devlin
- Geoffrey E. Hinton
- Jimmy Ba
- Ashish Vaswani
- Ilya Sutskever
- Alex Krizhevsky
- Ronald J. Williams
- Richard Socher
Who trusts Ilias Chalkidis overall
- Manos Fergadiotis
- Lucia Zheng
- Tri Dao
- Peter Henderson
- Xudong Pan
- Nikolaos Aletras
- Neel Guha
- Prodromos Malakasiotis
- Xiang Dai
- Chaojun Xiao
Papers from Ilias Chalkidis's perspective
Ordered by how strongly the researchers Ilias Chalkidis trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- 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
- Large-Scale Multi-Label Text Classification on EU Legislation (2019) — 261 citations
- Revisiting Transformer-based Models for Long Document Classification (2022) — 102 citations
- Paragraph-level Rationale Extraction through Regularization: A case study on European Court of Human Rights Cases (2021) — 145 citations
- LexGLUE: A Benchmark Dataset for Legal Language Understanding in English (2021) — 516 citations
- LEGAL-BERT: “Preparing the Muppets for Court’” (2020) — 484 citations
- Neural Legal Judgment Prediction in English (2019) — 464 citations