Daniele Bonadiman

According to our database, Daniele Bonadiman authored at least 16 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

FLAP: Flow-Adhering Planning with Constrained Decoding in LLMs.

Shamik Roy, Sailik Sengupta, Daniele Bonadiman, Saab Mansour, Arshit Gupta

CoRR, 2024

Eliciting Better Multilingual Structured Reasoning from LLMs through Code.

Bryan Li, Tamer Alkhouli, Daniele Bonadiman, Nikolaos Pappas, Saab Mansour

CoRR, 2024

DeAL: Decoding-time Alignment for Large Language Models.

James Y. Huang, Sailik Sengupta, Daniele Bonadiman, Yi'an Lai, Arshit Gupta, Nikolaos Pappas, Saab Mansour, Katrin Kirchhoff, Dan Roth

CoRR, 2024

2023

DFEE: Interactive DataFlow Execution and Evaluation Kit.

Han He, Song Feng, Daniele Bonadiman, Yi Zhang, Saab Mansour

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Injecting Domain Knowledge in Language Models for Task-oriented Dialogue Systems.

Denis Emelin, Daniele Bonadiman, Sawsan Alqahtani, Yi Zhang, Saab Mansour

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Knowledge-Driven Slot Constraints for Goal-Oriented Dialogue Systems.

Piyawat Lertvittayakumjorn, Daniele Bonadiman, Saab Mansour

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

2020

A Study on Efficiency, Accuracy and Document Structure for Answer Sentence Selection.

Daniele Bonadiman, Alessandro Moschitti

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Cross-Language Transformer Adaptation for Frequently Asked Questions.

Luca Di Liello, Daniele Bonadiman, Alessandro Moschitti, Cristina Giannone, Andrea Favalli, Raniero Romagnoli

Proceedings of the Seventh Italian Conference on Computational Linguistics, 2020

2019

Large Scale Question Paraphrase Retrieval with Smoothed Deep Metric Learning.

Daniele Bonadiman, Anjishnu Kumar, Arpit Mittal

Proceedings of the 5th Workshop on Noisy User-generated Text, 2019

2018

Injecting Relational Structural Representation in Neural Networks for Question Similarity.

Antonio Uva, Daniele Bonadiman, Alessandro Moschitti

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Multitask Learning with Deep Neural Networks for Community Question Answering.

Daniele Bonadiman, Antonio E. Uva, Alessandro Moschitti

CoRR, 2017

Ranking Kernels for Structures and Embeddings: A Hybrid Preference and Classification Model.

Kateryna Tymoshenko, Daniele Bonadiman, Alessandro Moschitti

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Effective shared representations with Multitask Learning for Community Question Answering.

Daniele Bonadiman, Antonio Uva, Alessandro Moschitti

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Neural Sentiment Analysis for a Real-World Application.

Daniele Bonadiman, Giuseppe Castellucci, Andrea Favalli, Raniero Romagnoli, Alessandro Moschitti

Proceedings of the Fourth Italian Conference on Computational Linguistics (CLiC-it 2017), 2017

2016

Convolutional Neural Networks vs. Convolution Kernels: Feature Engineering for Answer Sentence Reranking.

Kateryna Tymoshenko, Daniele Bonadiman, Alessandro Moschitti

Proceedings of the NAACL HLT 2016, 2016

Learning to Rank Non-Factoid Answers: Comment Selection in Web Forums.

Kateryna Tymoshenko, Daniele Bonadiman, Alessandro Moschitti

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016