Cover Image

Scalable In-Context Learning on Tabular Data via Retrieval-Augmented Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wen, Xumeng, Zheng, Shun, Xu, Zhen, Sun, Yiming, Bian, Jiang
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Large Language Model as a Universal Clinical Multi-task Decoder
by: Wu, Yujiang, et al.
Published: (2024)

AdaComp: Extractive Context Compression with Adaptive Predictor for Retrieval-Augmented Large Language Models
by: Zhang, Qianchi, et al.
Published: (2024)

Boosting the Capabilities of Compact Models in Low-Data Contexts with Large Language Models and Retrieval-Augmented Generation
by: Shandilya, Bhargav, et al.
Published: (2024)

Enhancing Robustness of Retrieval-Augmented Language Models with In-Context Learning
by: Park, Seong-Il, et al.
Published: (2024)

MMRAG: Multi-Mode Retrieval-Augmented Generation with Large Language Models for Biomedical In-Context Learning
by: Zhan, Zaifu, et al.
Published: (2025)

Large Scale Transfer Learning for Tabular Data via Language Modeling
by: Gardner, Josh, et al.
Published: (2024)

Reinforcement Learning with Verifiable Rewards Implicitly Incentivizes Correct Reasoning in Base LLMs
by: Wen, Xumeng, et al.
Published: (2025)

RAVEN: In-Context Learning with Retrieval-Augmented Encoder-Decoder Language Models
by: Huang, Jie, et al.
Published: (2023)

Learning to Plan for Retrieval-Augmented Large Language Models from Knowledge Graphs
by: Wang, Junjie, et al.
Published: (2024)

Making Retrieval-Augmented Language Models Robust to Irrelevant Context
by: Yoran, Ori, et al.
Published: (2023)

Retrieval-Augmented Generation for Large Language Models: A Survey
by: Gao, Yunfan, et al.
Published: (2023)

Improving Context Fidelity via Native Retrieval-Augmented Reasoning
by: Wang, Suyuchen, et al.
Published: (2025)

Transfer Learning of Tabular Data by Finetuning Large Language Models
by: Rabbani, Shourav B., et al.
Published: (2025)

A Few Words Can Distort Graphs: Knowledge Poisoning Attacks on Graph-based Retrieval-Augmented Generation of Large Language Models
by: Wen, Jiayi, et al.
Published: (2025)

Unraveling and Mitigating Retriever Inconsistencies in Retrieval-Augmented Large Language Models
by: Li, Mingda, et al.
Published: (2024)

Large Language Model Augmented Exercise Retrieval for Personalized Language Learning
by: Xu, Austin, et al.
Published: (2024)

Lightweight Retrieval-Augmented Generation and Large Language Model-Based Modeling for Scalable Patient-Trial Matching
by: Li, Xiaodi, et al.
Published: (2026)

Elephants Never Forget: Memorization and Learning of Tabular Data in Large Language Models
by: Bordt, Sebastian, et al.
Published: (2024)

G-MemLLM: Gated Latent Memory Augmentation for Long-Context Reasoning in Large Language Models
by: Xu, Xun
Published: (2026)

Towards Trustworthy Retrieval Augmented Generation for Large Language Models: A Survey
by: Ni, Bo, et al.
Published: (2025)

Explainable Biomedical Hypothesis Generation via Retrieval Augmented Generation enabled Large Language Models
by: Pelletier, Alexander R., et al.
Published: (2024)

RuleRAG: Rule-Guided Retrieval-Augmented Generation with Language Models for Question Answering
by: Chen, Zhongwu, et al.
Published: (2024)

Listen to the Context: Towards Faithful Large Language Models for Retrieval Augmented Generation on Climate Questions
by: Thulke, David, et al.
Published: (2025)

Harnessing Large Language Models for Precision Querying and Retrieval-Augmented Knowledge Extraction in Clinical Data Science
by: Jan, Juan Jose Rubio, et al.
Published: (2026)

Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity
by: Jeong, Soyeong, et al.
Published: (2024)

Untie the Knots: An Efficient Data Augmentation Strategy for Long-Context Pre-Training in Language Models
by: Tian, Junfeng, et al.
Published: (2024)

Adaptive Content Restriction for Large Language Models via Suffix Optimization
by: Li, Yige, et al.
Published: (2025)

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation
by: Sun, Jiashuo, et al.
Published: (2025)

Embedding-Informed Adaptive Retrieval-Augmented Generation of Large Language Models
by: Huang, Chengkai, et al.
Published: (2024)

Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented Generation
by: Ma, Shengjie, et al.
Published: (2024)

Data Augmentation using Large Language Models: Data Perspectives, Learning Paradigms and Challenges
by: Ding, Bosheng, et al.
Published: (2024)

AttentionRAG: Attention-Guided Context Pruning in Retrieval-Augmented Generation
by: Fang, Yixiong, et al.
Published: (2025)

Beyond the Parameters: A Technical Survey of Contextual Enrichment in Large Language Models: From In-Context Prompting to Causal Retrieval-Augmented Generation
by: Bansal, Prakhar, et al.
Published: (2026)

RelationalFactQA: A Benchmark for Evaluating Tabular Fact Retrieval from Large Language Models
by: Satriani, Dario, et al.
Published: (2025)

Instruction Tuning Vs. In-Context Learning: Revisiting Large Language Models in Few-Shot Computational Social Science
by: Wang, Taihang, et al.
Published: (2024)

Retrieval-Augmented Large Language Models for Schema-Constrained Clinical Information Extraction
by: Karim, A H M Rezaul, et al.
Published: (2026)

Empowering Large Language Models for Textual Data Augmentation
by: Li, Yichuan, et al.
Published: (2024)

Alleviating Hallucination in Large Vision-Language Models with Active Retrieval Augmentation
by: Qu, Xiaoye, et al.
Published: (2024)

Unlocking Instructive In-Context Learning with Tabular Prompting for Relational Triple Extraction
by: Li, Guozheng, et al.
Published: (2024)

Learning Robust Named Entity Recognizers From Noisy Data With Retrieval Augmentation
by: Ai, Chaoyi, et al.
Published: (2024)