Tagged articles

Table QA

3 articles · Page 1 of 1

Machine Learning Algorithms & Natural Language Processing

Aug 9, 2026 · Artificial Intelligence

Why Large Models Excel at Table Lookup Yet Fail at Future Prediction – Insights from TopBench

TopBench, a new benchmark for implicit predictive reasoning in table question answering, shows that current large language models can retrieve tabular facts but often miss the hidden prediction intent, leading to low accuracy across four task types and revealing two key bottlenecks: intent alignment and robust modeling.

Data IntelligenceImplicit PredictionLarge Language Models

0 likes · 21 min read

Why Large Models Excel at Table Lookup Yet Fail at Future Prediction – Insights from TopBench

PaperAgent

Dec 18, 2025 · Artificial Intelligence

Can Ontology‑Aware KG‑RAG Double Table QA Performance on Industrial Standards?

This article presents an ontology‑aware knowledge‑graph RAG framework that transforms complex, hierarchical industrial standard documents into a graph of sections, atomic propositions, and refined triples, achieving nearly double F1 scores on table‑based QA tasks and robust performance on long documents.

Knowledge GraphLLMOntology

0 likes · 6 min read

Can Ontology‑Aware KG‑RAG Double Table QA Performance on Industrial Standards?

NetEase Smart Enterprise Tech+

Nov 11, 2021 · Artificial Intelligence

Transforming B2B Customer Service: Table QA via Multi‑Turn Dialogue

This article explores how table‑based question answering can be integrated into B2B intelligent customer service by converting table queries into entity‑attribute recognition and multi‑turn dialogue, comparing end‑to‑end NL2SQL and slot‑filling approaches, and presenting NetEase Qiyu's practical implementation with its benefits and use cases.

Multi-turn DialogueNL2SQLNLP

0 likes · 10 min read

Transforming B2B Customer Service: Table QA via Multi‑Turn Dialogue