Saeed Hassanpour
13 papers · 2021–2026 · 7 venues · across top CS/AI venues
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Natural Language Processing
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Artificial Intelligence
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Machine Learning
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Deep Learning
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Generation
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Models
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Understanding
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Keywords
large language model
(3)
dialogue generation
(2)
representation learning
(2)
pre-trained language model
(2)
prototypical network
(2)
self-supervised learning
(1)
embedding learning
(1)
transfer learning
(1)
semantic analysis
(1)
debiasing method
(1)
toxicity detection
(1)
bias detection
(1)
fine-grained classification
(1)
medical image classification
(1)
curriculum learning
(1)
language model
(1)
case-based reasoning
(1)
question answering
(1)
persuasion detection
(1)
synthetic data generation
(1)
Papers
Tailoring Memory Granularity for Multi-Hop Reasoning over Long Contexts
EACL 2026
A Generalizable Rhetorical Strategy Annotation Model Using LLM-based Debate Simulation and Labelling
EMNLP 2025
Bridging the Faithfulness Gap in Prototypical Models
NAACL 2025
Communication Makes Perfect: Persuasion Dataset Construction via Multi-LLM Communication
NAACL 2025
Enhancing LLM-Based Persuasion Simulations with Cultural and Speaker-Specific Information
EMNLP 2025
ImpScore: A Learnable Metric For Quantifying The Implicitness Level of Sentences
ICLR 2025
Addressing Healthcare-related Racial and LGBTQ+ Biases in Pretrained Language Models
NAACL 2024
IvRA: A Framework to Enhance Attention-Based Explanations for Language Models with Interpretability-Driven Training
EMNLP 2024
MentalManip: A Dataset For Fine-grained Analysis of Mental Manipulation in Conversations
ACL 2024
Improving Representation Learning for Histopathologic Images with Cluster Constraints
ICCV 2023
Improving Syntactic Probing Correctness and Robustness with Control Tasks
ACL 2023
Proto-lm: A Prototypical Network-Based Framework for Built-in Interpretability in Large Language Models
EMNLP 2023
Learn Like a Pathologist: Curriculum Learning by Annotator Agreement for Histopathology Image Classification
WACV 2021