Andrea Madotto
Artificial Intelligence · 2018–2023
A researcher in the Science corpus: 25 papers; trusts 878 researchers and is trusted by 51 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 817 citations into it; #4,551 of 35,345 by trust here, #1,972 by citations
- Natural Language Processing — 689 citations into it; #1,285 of 5,688 by trust here, #526 by citations
- Computer Vision and Pattern Recognition — 246 citations into it; #11,976 of 21,575 by trust here, #2,536 by citations
- Large Language Models — 130 citations into it; #605 of 799 by trust here, #289 by citations
- Evaluation & Benchmarks — 119 citations into it
- Representation & Self-Supervised Learning — 60 citations into it
- Model Architectures — 58 citations into it
- Safety, Robustness & Interpretability — 39 citations into it
Whom Andrea Madotto trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Geoffrey E. Hinton
- Diederik P. Kingma
- Ilya Sutskever
- Alex Krizhevsky
- Alex Graves
- Jimmy Ba
- Richard Socher
- Oriol Vinyals
- Yann LeCun
Who trusts Andrea Madotto overall
- Zhaojiang Lin
- Chien-Sheng Wu
- Genta Indra Winata
- Pascale Fung
- Bing Liu
- Emily Dinan
- Nayeon Lee
- Richard Socher
- Ehsan Hosseini-Asl
- Nouha Dziri
Papers from Andrea Madotto's perspective
Ordered by how strongly the researchers Andrea Madotto trusts endorse each paper. Same corpus, a different order for every researcher.
- 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
- Attention is All you Need (Neural Information Processing Systems)
- 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
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Plug and Play Language Models: A Simple Approach to Controlled Text Generation (2019) — 1,229 citations
- Survey of Hallucination in Natural Language Generation (2022) — 5,175 citations
- Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems (2019) — 481 citations
- Plug-and-Play Conversational Models (2020) — 58 citations
- Mem2Seq: Effectively Incorporating Knowledge Bases into End-to-End Task-Oriented Dialog Systems (2018) — 320 citations
- Language Models are Few-shot Multilingual Learners (2021) — 173 citations
- Continual Learning in Task-Oriented Dialogue Systems (2020) — 148 citations
- Neural Path Hunter: Reducing Hallucination in Dialogue Systems via Path Grounding (2021) — 161 citations
- Zero-shot Cross-lingual Dialogue Systems with Transferable Latent Variables (2019) — 71 citations
- BiToD: A Bilingual Multi-Domain Dataset For Task-Oriented Dialogue Modeling (2021) — 68 citations
- Exploring Fine-tuning Techniques for Pre-trained Cross-lingual Models via Continual Learning (2020) — 20 citations
- MinTL: Minimalist Transfer Learning for Task-Oriented Dialogue Systems (2020) — 183 citations
- Exploring Versatile Generative Language Model Via Parameter-Efficient Transfer Learning (2020) — 196 citations
- Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models (2023) — 266 citations
- VScript: Controllable Script Generation with Visual Presentation (2022) — 4 citations
- Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models (2022) — 2,561 citations
- Retrieval-Free Knowledge-Grounded Dialogue Response Generation with Adapters (2021) — 47 citations
- Leveraging Slot Descriptions for Zero-Shot Cross-Domain Dialogue StateTracking (2021) — 97 citations
- Assessing Political Prudence of Open-domain Chatbots (2021) — 31 citations
- Learning Knowledge Bases with Parameters for Task-Oriented Dialogue Systems (2020) — 72 citations