Daniele Bonadiman

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 23

Top Topics

Community Question Answering

Dialogue System

Multitask Learning

Top Venues

Publications

Bryan Li, Tamer Alkhouli, Daniele Bonadiman, Nikolaos Pappas, Saab Mansour
Eliciting Better Multilingual Structured Reasoning from LLMs through Code. ACL (1) (2024)
Shamik Roy, Sailik Sengupta, Daniele Bonadiman, Saab Mansour, Arshit Gupta
FLAP: Flow-Adhering Planning with Constrained Decoding in LLMs. CoRR (2024)
Bryan Li, Tamer Alkhouli, Daniele Bonadiman, Nikolaos Pappas, Saab Mansour
Eliciting Better Multilingual Structured Reasoning from LLMs through Code. CoRR (2024)
Shamik Roy, Sailik Sengupta, Daniele Bonadiman, Saab Mansour, Arshit Gupta
FLAP: Flow-Adhering Planning with Constrained Decoding in LLMs. NAACL-HLT (2024)
James Y. Huang, Sailik Sengupta, Daniele Bonadiman, Yi'an Lai, Arshit Gupta, Nikolaos Pappas, Saab Mansour, Katrin Kirchoff, Dan Roth
DeAL: Decoding-time Alignment for Large Language Models. CoRR (2024)
Han He, Song Feng, Daniele Bonadiman, Yi Zhang, Saab Mansour
DFEE: Interactive DataFlow Execution and Evaluation Kit. AAAI (2023)
Denis Emelin, Daniele Bonadiman, Sawsan Alqahtani, Yi Zhang, Saab Mansour
Injecting Domain Knowledge in Language Models for Task-oriented Dialogue Systems. EMNLP (2022)
Han He, Song Feng, Daniele Bonadiman, Yi Zhang, Saab Mansour
DFEE: Interactive DataFlow Execution and Evaluation Kit. CoRR (2022)
Denis Emelin, Daniele Bonadiman, Sawsan Alqahtani, Yi Zhang, Saab Mansour
Injecting Domain Knowledge in Language Models for Task-Oriented Dialogue Systems. CoRR (2022)
Piyawat Lertvittayakumjorn, Daniele Bonadiman, Saab Mansour
Knowledge-Driven Slot Constraints for Goal-Oriented Dialogue Systems. NAACL-HLT (2021)
Daniele Bonadiman, Alessandro Moschitti
A Study on Efficiency, Accuracy and Document Structure for Answer Sentence Selection. COLING (2020)
Daniele Bonadiman, Alessandro Moschitti
A Study on Efficiency, Accuracy and Document Structure for Answer Sentence Selection. CoRR (2020)
Luca Di Liello, Daniele Bonadiman, Alessandro Moschitti, Cristina Giannone, Andrea Favalli, Raniero Romagnoli
Cross-Language Transformer Adaptation for Frequently Asked Questions. CLiC-it (2020)
Daniele Bonadiman, Anjishnu Kumar, Arpit Mittal
Large Scale Question Paraphrase Retrieval with Smoothed Deep Metric Learning. W-NUT@EMNLP (2019)
Daniele Bonadiman, Anjishnu Kumar, Arpit Mittal
Large Scale Question Paraphrase Retrieval with Smoothed Deep Metric Learning. CoRR (2019)
Antonio Uva, Daniele Bonadiman, Alessandro Moschitti
Injecting Relational Structural Representation in Neural Networks for Question Similarity. CoRR (2018)
Antonio Uva, Daniele Bonadiman, Alessandro Moschitti
Injecting Relational Structural Representation in Neural Networks for Question Similarity. ACL (2) (2018)
Daniele Bonadiman, Antonio E. Uva, Alessandro Moschitti
Multitask Learning with Deep Neural Networks for Community Question Answering. CoRR (2017)
Daniele Bonadiman, Giuseppe Castellucci, Andrea Favalli, Raniero Romagnoli, Alessandro Moschitti
Neural Sentiment Analysis for a Real-World Application. CLiC-it (2017)
Daniele Bonadiman, Antonio Uva, Alessandro Moschitti
Effective shared representations with Multitask Learning for Community Question Answering. EACL (2) (2017)
Kateryna Tymoshenko, Daniele Bonadiman, Alessandro Moschitti
Ranking Kernels for Structures and Embeddings: A Hybrid Preference and Classification Model. EMNLP (2017)
Kateryna Tymoshenko, Daniele Bonadiman, Alessandro Moschitti
Convolutional Neural Networks vs. Convolution Kernels: Feature Engineering for Answer Sentence Reranking. HLT-NAACL (2016)
Kateryna Tymoshenko, Daniele Bonadiman, Alessandro Moschitti
Learning to Rank Non-Factoid Answers: Comment Selection in Web Forums. CIKM (2016)