2 citations · 6 across the 9 of their papers we have counts for
11 papers
How Calibration Content Shapes Attention-Based Reranking
Petros Karypis, Hossein Rajaby Faghihi, Peter Chen +4
Attention-based rerankers score documents by aggregating query-to-document attention and subtracting a null-query calibration pass to remove positional and structural bias. Althoug…
Prompt2DeModel: Declarative Neuro-Symbolic Modeling with Natural Language
Hossein Rajaby Faghihi, Aliakbar Nafar, Andrzej Uszok +2
This paper presents a conversational pipeline for crafting domain knowledge for complex neuro-symbolic models through natural language prompts. It leverages large language models t…
Consistent Joint Decision-Making with Heterogeneous Learning Models
Hossein Rajaby Faghihi, Parisa Kordjamshidi
This paper introduces a novel decision-making framework that promotes consistency among decisions made by diverse models while utilizing external knowledge. Leveraging the Integer…
GLUECons: A Generic Benchmark for Learning Under Constraints
Hossein Rajaby Faghihi, Aliakbar Nafar, Chen Zheng +7
Recent research has shown that integrating domain knowledge into deep learning architectures is effective -- it helps reduce the amount of required data, improves the accuracy of t…
The Role of Semantic Parsing in Understanding Procedural Text
Hossein Rajaby Faghihi, Parisa Kordjamshidi, Choh Man Teng +1
In this paper, we investigate whether symbolic semantic representations, extracted from deep semantic parsers, can help reasoning over the states of involved entities in a procedur…
CrisisLTLSum: A Benchmark for Local Crisis Event Timeline Extraction and Summarization
Hossein Rajaby Faghihi, Bashar Alhafni, Ke Zhang +3
Social media has increasingly played a key role in emergency response: first responders can use public posts to better react to ongoing crisis events and deploy the necessary resou…