Learning to Rank Non-Factoid Answers: Comment Selection in Web Forums. - Kateryna Tymoshenko; Daniele Bonadiman; Alessandro Moschitti (CIKM, 2016)

Convolutional Neural Networks vs. Convolution Kernels: Feature Engineering for Answer Sentence Reranking. - Kateryna Tymoshenko; Daniele Bonadiman; Alessandro Moschitti (HLT-NAACL, 2016)

Neural Sentiment Analysis for a Real-World Application. - Daniele Bonadiman; Giuseppe Castellucci; Andrea Favalli; Raniero Romagnoli; Alessandro Moschitti (CLiC-it, 2017)

Effective shared representations with Multitask Learning for Community Question Answering. - Daniele Bonadiman; Antonio Uva 001; Alessandro Moschitti (EACL (2), 2017)

Ranking Kernels for Structures and Embeddings: A Hybrid Preference and Classification Model. - Kateryna Tymoshenko; Daniele Bonadiman; Alessandro Moschitti (EMNLP, 2017)

Multitask Learning with Deep Neural Networks for Community Question Answering. - Daniele Bonadiman; Antonio E. Uva; Alessandro Moschitti (CoRR, 2017)

Injecting Relational Structural Representation in Neural Networks for Question Similarity. - Antonio Uva 001; Daniele Bonadiman; Alessandro Moschitti (ACL (2), 2018)

Large Scale Question Paraphrase Retrieval with Smoothed Deep Metric Learning. - Daniele Bonadiman; Anjishnu Kumar; Arpit Mittal (W-NUT@EMNLP, 2019)

Cross-Language Transformer Adaptation for Frequently Asked Questions. - Luca Di Liello; Daniele Bonadiman; Alessandro Moschitti; Cristina Giannone; Andrea Favalli; Raniero Romagnoli (CLiC-it, 2020)

A Study on Efficiency, Accuracy and Document Structure for Answer Sentence Selection. - Daniele Bonadiman; Alessandro Moschitti (COLING, 2020)

Knowledge-Driven Slot Constraints for Goal-Oriented Dialogue Systems. - Piyawat Lertvittayakumjorn; Daniele Bonadiman; Saab Mansour (NAACL-HLT, 2021)

Injecting Domain Knowledge in Language Models for Task-oriented Dialogue Systems. - Denis Emelin; Daniele Bonadiman; Sawsan Alqahtani; Yi Zhang; Saab Mansour (EMNLP, 2022)

DFEE: Interactive DataFlow Execution and Evaluation Kit. - Han He; Song Feng 001; Daniele Bonadiman; Yi Zhang 053; Saab Mansour (AAAI, 2023)

Eliciting Better Multilingual Structured Reasoning from LLMs through Code. - Bryan Li; Tamer Alkhouli; Daniele Bonadiman; Nikolaos Pappas 004; Saab Mansour (ACL (1), 2024)

FLAP: Flow-Adhering Planning with Constrained Decoding in LLMs. - Shamik Roy; Sailik Sengupta; Daniele Bonadiman; Saab Mansour; Arshit Gupta (NAACL-HLT, 2024)

DeAL: Decoding-time Alignment for Large Language Models. - James Y. Huang; Sailik Sengupta; Daniele Bonadiman; Yi'an Lai; Arshit Gupta; Nikolaos Pappas 004; Saab Mansour; Katrin Kirchhoff; Dan Roth 001 (CoRR, 2024)

Eliciting Better Multilingual Structured Reasoning from LLMs through Code. - Bryan Li; Tamer Alkhouli; Daniele Bonadiman; Nikolaos Pappas 001; 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 004; Saab Mansour; Katrin Kirchhoff; Dan Roth 001 (ACL (1), 2025)

A Study on Leveraging Search and Self-Feedback for Agent Reasoning. - Karthikeyan K; Michelle Yuan; Elman Mansimov; Katerina Margatina; Anurag Pratik; Daniele Bonadiman; Monica Sunkara; Yi Zhang 001; Yassine Benajiba (CoRR, 2025)