Daniele Bonadiman
14 papers · 2016–2025 · 7 venues · across top CS/AI venues
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Research topics
Machine Learning
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Natural Language Processing
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Artificial Intelligence
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Deep Learning
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Core AI
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Learning Types Β· Machine Learning
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Keywords
question answering
(3)
neural network
(2)
tree kernel
(2)
answer sentence selection
(2)
large language model
(2)
in-context learning
(1)
multilingual nlp
(1)
metric learning
(1)
information retrieval
(1)
syntactic parsing
(1)
code generation
(1)
task-oriented dialogue
(1)
knowledge base
(1)
reinforcement learning from human feedback
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domain adaptation
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approximate nearest neighbor
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reward function
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document ranking
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domain knowledge
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semantic task
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Papers
A Study on Leveraging Search and Self-Feedback for Agent Reasoning
ACL 2025
DeAL: Decoding-time Alignment for Large Language Models
ACL 2025
Eliciting Better Multilingual Structured Reasoning from LLMs through Code
ACL 2024
FLAP: Flow-Adhering Planning with Constrained Decoding in LLMs
NAACL 2024
DFEE: Interactive DataFlow Execution and Evaluation Kit
AAAI 2023
Injecting Domain Knowledge in Language Models for Task-oriented Dialogue Systems
EMNLP 2022
Knowledge-Driven Slot Constraints for Goal-Oriented Dialogue Systems
NAACL 2021
A Study on Efficiency, Accuracy and Document Structure for Answer Sentence Selection
COLING 2020
Large Scale Question Paraphrase Retrieval with Smoothed Deep Metric Learning
EMNLP 2019
Injecting Relational Structural Representation in Neural Networks for Question Similarity
ACL 2018
Effective shared representations with Multitask Learning for Community Question Answering
EACL 2017
Ranking Kernels for Structures and Embeddings: A Hybrid Preference and Classification Model
EMNLP 2017
ConvKN at SemEval-2016 Task 3: Answer and Question Selection for Question Answering on Arabic and English Fora
SemEval 2016
Convolutional Neural Networks vs. Convolution Kernels: Feature Engineering for Answer Sentence Reranking
NAACL 2016