Beyond the imitation game: Quantifying and extrapolating the capabilities of language models A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ... arXiv preprint arXiv:2206.04615, 2022 | 732 | 2022 |
The gem benchmark: Natural language generation, its evaluation and metrics S Gehrmann, T Adewumi, K Aggarwal, PS Ammanamanchi, ... arXiv preprint arXiv:2102.01672, 2021 | 132 | 2021 |
Low bit-rate speech coding with VQ-VAE and a WaveNet decoder C Gârbacea, A van den Oord, Y Li, FSC Lim, A Luebs, O Vinyals, ... ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 119 | 2019 |
An Empirical Study on Explainable Prediction of Text Complexity: Preliminaries for Text Simplification. C Gârbacea, M Guo, S Carton, Q Mei CoRR, 2020 | 41 | 2020 |
Neural language generation: Formulation, methods, and evaluation C Garbacea, Q Mei arXiv preprint arXiv:2007.15780, 2020 | 38 | 2020 |
Judge the Judges: A Large-Scale Evaluation Study of Neural Language Models for Online Review Generation C Garbacea, S Carton, S Yan, Q Mei Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 24 | 2019 |
Explainable Prediction of Text Complexity: The Missing Preliminaries for Text Simplification C Garbacea, M Guo, S Carton, Q Mei Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 22 | 2021 |
Gemv2: Multilingual nlg benchmarking in a single line of code S Gehrmann, A Bhattacharjee, A Mahendiran, A Wang, A Papangelis, ... arXiv preprint arXiv:2206.11249, 2022 | 11 | 2022 |
Supporting Exploration of Historical Perspectives across Collections D Odijk, C Gârbacea, T Schoegje, L Hollink, V de Boer, K Ribbens, ... TPDL 2015, 2015 | 11 | 2015 |
Detecting the reputation polarity of microblog posts C Gârbacea, M Tsagkias, M de Rijke ECAI 2014: 21st European Conference on Artificial Intelligence 263, 339, 2014 | 9 | 2014 |
Why is constrained neural language generation particularly challenging? C Garbacea, Q Mei arXiv preprint arXiv:2206.05395, 2022 | 8 | 2022 |
Speech coding using content latent embedding vectors and speaker latent embedding vectors C Garbacea, AGA van den Oord, Y Li, SC Lim, A Luebs, O Vinyals, ... US Patent 11,257,507, 2022 | 7 | 2022 |
Combining multiple signals for semanticizing tweets: University of Amsterdam at# Microposts2015 C Gârbacea, D Odijk, D Graus, I Sijaranamual, M de Rijke WWW’15, 2015 | 6 | 2015 |
The Web R White, Q Mei, M Rabinovich, P Samarati, O Alonso, B Benatallah, ... ACM Transactions on 16 (3), 2022 | 4 | 2022 |
Feature Selection and Data Sampling Methods for Learning Reputation Dimensions C Gârbacea, M Tsagkias, M de Rijke CLEF (Working Notes) 2014, 2014 | 4 | 2014 |
The University of Amsterdam (ILPS. UvA) at TREC 2015 Temporal Summarization Track C Gârbacea, E Kanoulas | 2 | 2016 |
Neural Language Generation for Content Adaptation: Explainable, Efficient Low-Resource Text Simplification and Evaluation GC Garbacea | 1 | 2023 |
UMSIForeseer at SemEval-2020 Task 11: Propaganda detection by fine-tuning BERT with resampling and ensemble learning Y Jiang, C Gârbacea, Q Mei Proceedings of the Fourteenth Workshop on Semantic Evaluation, 1841-1846, 2020 | 1 | 2020 |
What's your Use Case? A Taxonomy of Causal Evaluations of Post-hoc Interpretability D Reber, C Garbacea, V Veitch Causal Representation Learning Workshop at NeurIPS 2023, 2023 | | 2023 |
Speech coding using content latent embedding vectors and speaker latent embedding vectors C Garbacea, AGA van den Oord, Y Li, SC Lim, A Luebs, O Vinyals, ... US Patent 11,756,561, 2023 | | 2023 |