EdgeLM: Edge Demonstrations for Language Models' Table Understanding

arXiv:2608.04390 · cs.CL, cs.DB · Submitted 2026-08-05 · Read on arXiv

Soroush Omidvartehrani, Mohammadamin Habibollah, Mohammadreza Daviran, Davood Rafiei

cs.CL, cs.DB

Submitted: 2026-08-05

Code: https://github.com/soroushomidvar/EdgeLM

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Accuracy — 16× in this paper · explained in 1 episode
• In-Context Learning — 11× in this paper · explained in 7 episodes
• Ablation — 6× in this paper · explained in 1 episode
• Frozen model — 4× in this paper · explained in 3 episodes
• Fine-Tuning — 3× in this paper · explained in 5 episodes
• Hyperparameters — 3× in this paper · explained in 2 episodes
• Language Models (LLMs) — 3× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 3× in this paper · explained in 9 episodes
• Robustness — 3× in this paper · explained in 6 episodes
• Abstraction — 2× in this paper · explained in 1 episode
• Benchmark — 2× in this paper · explained in 2 episodes
• In International Conference on Learning Representations — 2× in this paper
• Meeting of the Association for Computational Linguistics — 2× in this paper
• Text-to-SQL — 2× in this paper · explained in 4 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Ablation Study — 1× in this paper · explained in 3 episodes
• Compositional Generalization — 1× in this paper · explained in 4 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 8 episodes
• Generalization — 1× in this paper · explained in 14 episodes
• Generator — 1× in this paper · explained in 2 episodes
• Papers — 1× in this paper · explained in 3 episodes
• Redundancy — 1× in this paper · explained in 2 episodes
• Scaffold — 1× in this paper · explained in 2 episodes
• Transfer Learning — 1× in this paper · explained in 16 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• Language Models (Mostly) Know What They Know
• Anomaly Detection of Tabular Data Using LLMs
• Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and Understanding -- A Survey
• SynSQL: Synthesizing Relational Databases for Robust Evaluation of Text-to-SQL Systems
• LDI: Localized Data Imputation for Text-Rich Tables
• Entity Matching using Large Language Models
• On LLM-Enhanced Mixed-Type Data Imputation with High-Order Message Passing

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