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…
DomiKnowS: A Library for Integration of Symbolic Domain Knowledge in Deep Learning
Hossein Rajaby Faghihi, Quan Guo, Andrzej Uszok +3
We demonstrate a library for the integration of domain knowledge in deep learning architectures. Using this library, the structure of the data is expressed symbolically via graph d…
Time-Stamped Language Model: Teaching Language Models to Understand the Flow of Events
Hossein Rajaby Faghihi, Parisa Kordjamshidi
Tracking entities throughout a procedure described in a text is challenging due to the dynamic nature of the world described in the process. Firstly, we propose to formulate this t…
SpartQA: : A Textual Question Answering Benchmark for Spatial Reasoning
Roshanak Mirzaee, Hossein Rajaby Faghihi, Qiang Ning +1
This paper proposes a question-answering (QA) benchmark for spatial reasoning on natural language text which contains more realistic spatial phenomena not covered by prior work and…
Latent Alignment of Procedural Concepts in Multimodal Recipes
Hossein Rajaby Faghihi, Roshanak Mirzaee, Sudarshan Paliwal +1
We propose a novel alignment mechanism to deal with procedural reasoning on a newly released multimodal QA dataset, named RecipeQA. Our model is solving the textual cloze task whic…
Hybrid-Learning approach toward situation recognition and handling
Hossein Rajaby Faghihi, Mohammad Amin Fazli, Jafar Habibi
The success of smart environments largely depends on their smartness of understanding the environments' ongoing situations. Accordingly, this task is an essence to smart environmen…