A Survey of NL2SQL with Large Language Models: Where are we, and where are we going?
Translating users' natural language queries (NL) into SQL queries (ie, NL2SQL) can
significantly reduce barriers to accessing relational databases and support various …
significantly reduce barriers to accessing relational databases and support various …
Large language model for table processing: A survey
Tables, typically two-dimensional and structured to store large amounts of data, are
essential in daily activities like database queries, spreadsheet manipulations, Web table …
essential in daily activities like database queries, spreadsheet manipulations, Web table …
Richelieu: Self-evolving llm-based agents for ai diplomacy
Diplomacy is one of the most sophisticated activities in human society, involving complex
interactions among multiple parties that require skills in social reasoning, negotiation, and …
interactions among multiple parties that require skills in social reasoning, negotiation, and …
The death of schema linking? text-to-sql in the age of well-reasoned language models
K Maamari, F Abubaker, D Jaroslawicz… - arxiv preprint arxiv …, 2024 - arxiv.org
Schema linking is a crucial step in Text-to-SQL pipelines. Its goal is to retrieve the relevant
tables and columns of a target database for a user's query while disregarding irrelevant …
tables and columns of a target database for a user's query while disregarding irrelevant …
Fine Tuning Out-of-Vocabulary Item Recommendation with User Sequence Imagination
R Liu, H Chen, Y Bei, Q Shen… - Advances in …, 2025 - proceedings.neurips.cc
Recommending out-of-vocabulary (OOV) items is a challenging problem since the in-
vocabulary (IV) items have well-trained behavioral embeddings but the OOV items only have …
vocabulary (IV) items have well-trained behavioral embeddings but the OOV items only have …
Graph Cross-Correlated Network for Recommendation
Collaborative filtering (CF) models have demonstrated remarkable performance in
recommender systems, which represent users and items as embedding vectors. Recently …
recommender systems, which represent users and items as embedding vectors. Recently …
Knowgpt: Knowledge graph based prompting for large language models
Large Language Models (LLMs) have demonstrated remarkable capabilities in many real-
world applications. Nonetheless, LLMs are often criticized for their tendency to produce …
world applications. Nonetheless, LLMs are often criticized for their tendency to produce …
From natural language to sql: Review of llm-based text-to-sql systems
Since the onset of LLMs, translating natural language queries to structured SQL commands
is assuming increasing. Unlike the previous reviews, this survey provides a comprehensive …
is assuming increasing. Unlike the previous reviews, this survey provides a comprehensive …
A survey on llm-based code generation for low-resource and domain-specific programming languages
Large Language Models (LLMs) have shown impressive capabilities in code generation for
popular programming languages. However, their performance on Low-Resource …
popular programming languages. However, their performance on Low-Resource …
A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models
Large language models (LLMs) have demonstrated remarkable capabilities in a wide range
of tasks, yet their application to specialized domains remains challenging due to the need for …
of tasks, yet their application to specialized domains remains challenging due to the need for …