5 citations · 9 across the 23 of their papers we have counts for
7 papers · 1 filter
TabulaX: Leveraging Large Language Models for Multi-Class Table Transformations
Arash Dargahi Nobari, Davood Rafiei
The integration of tabular data from diverse sources is often hindered by inconsistencies in formatting and representation, posing significant challenges for data analysts and pers…
LFOSum: Summarizing Long-form Opinions with Large Language Models
Mir Tafseer Nayeem, Davood Rafiei
Online reviews play a pivotal role in influencing consumer decisions across various domains, from purchasing products to selecting hotels or restaurants. However, the sheer volume…
KidLM: Advancing Language Models for Children -- Early Insights and Future Directions
Mir Tafseer Nayeem, Davood Rafiei
Recent studies highlight the potential of large language models in creating educational tools for children, yet significant challenges remain in maintaining key child-specific prop…
NormTab: Improving Symbolic Reasoning in LLMs Through Tabular Data Normalization
Md Mahadi Hasan Nahid, Davood Rafiei
In recent years, Large Language Models (LLMs) have demonstrated remarkable capabilities in parsing textual data and generating code. However, their performance in tasks involving t…
TabSQLify: Enhancing Reasoning Capabilities of LLMs Through Table Decomposition
Md Mahadi Hasan Nahid, Davood Rafiei
Table reasoning is a challenging task that requires understanding both natural language questions and structured tabular data. Large language models (LLMs) have shown impressive ca…
SQL-Encoder: Improving NL2SQL In-Context Learning Through a Context-Aware Encoder
Mohammadreza Pourreza, Davood Rafiei, Yuxi Feng +3
Detecting structural similarity between queries is essential for selecting examples in in-context learning models. However, assessing structural similarity based solely on the natu…
DTS-SQL: Decomposed Text-to-SQL with Small Large Language Models
Mohammadreza Pourreza, Davood Rafiei
Leading models for the text-to-SQL task heavily rely on proprietary Large Language Models (LLMs), posing concerns over data privacy. Closing the performance gap between small open-…