Enhancing Tabular Learners with Context-Aware Semantic Embeddings

arXiv:2608.03565 · cs.AI, cs.LG · Submitted 2026-08-04 · Read on arXiv

cs.AI, cs.LG

Submitted: 2026-08-04

Updated: 2026-10-09

Code: https://github.com/SAP-samples/case

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

Terminology

• Embeddings — 3× in this paper · explained in 2 episodes
• Context-Aware Semantic Embeddings — 2× in this paper
• Benchmark — 1× in this paper · explained in 2 episodes
• KV cache — 1× in this paper · explained in 3 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 8 episodes
• Semantic Understanding — 1× in this paper · explained in 2 episodes

Sources

• STRABLE: Benchmarking Tabular Machine Learning with Strings
• Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference
• AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data
• Vectorizing string entries for data processing on tables: when are larger language models better?
• Gemma 3 Technical Report
• T5Gemma 2: Seeing, Reading, and Understanding Longer

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