Davide Bernardi
Orcid: 0000-0002-7043-6606
According to our database1,
Davide Bernardi authored at least 18 papers
between 2017 and 2026.
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Bibliography
2026
Benchmarking Multilingual Temporal Reasoning in LLMs: The Temporal Reasoning Dataset.
Proceedings of the 16th International Workshop on Spoken Dialogue System Technology, 2026
When Speed Meets Intelligence: Scalable Conversational NER in an Ever-evolving World.
Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026
2025
IEEE Trans. Neural Networks Learn. Syst., July, 2025
Lang. Resour. Evaluation, June, 2025
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025
2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
Does Anyone see the Irony here? Analysis of Perspective-aware Model Predictions in Irony Detection.
Proceedings of the 2nd Workshop on Perspectivist Approaches to NLP co-located with 26th European Conference on Artificial Intelligence (ECAI 2023), 2023
Supervised Clustering Loss for Clustering-Friendly Sentence Embeddings: an Application to Intent Clustering.
Proceedings of the Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Mitigating the Burden of Redundant Datasets via Batch-Wise Unique Samples and Frequency-Aware Losses.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 5: Industry Track), 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 5: Industry Track), 2023
2022
Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding Systems.
CoRR, 2022
Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding Systems.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
2021
A network model of the barrel cortex combined with a differentiator detector reproduces features of the behavioral response to single-neuron stimulation.
PLoS Comput. Biol., 2021
2018
Self-Consistent Scheme for Spike-Train Power Spectra in Heterogeneous Sparse Networks.
Frontiers Comput. Neurosci., 2018
Proceedings of the Information Security - 21st International Conference, 2018
2017
Proceedings of the International Carnahan Conference on Security Technology, 2017