JoinGR: Learning to Traverse Join Graphs for Table Retrieval

arXiv:2610.01064 · cs.CL, cs.AI, cs.DB, cs.IR · Submitted 2026-10-01 · Read on arXiv

cs.CL, cs.AI, cs.DB, cs.IR

Submitted: 2026-10-01

Updated: 2026-10-01

Terminology

Benchmark — 14× in this paper · explained in 2 episodes
Text-to-SQL — 13× in this paper · explained in 3 episodes
Embeddings — 8× in this paper · explained in 2 episodes
Alignment — 3× in this paper · explained in 1 episode
Adam — 2× in this paper · explained in 2 episodes
Core — 2× in this paper · explained in 2 episodes
Graph Construction — 2× in this paper · explained in 3 episodes
Query Complexity — 2× in this paper · explained in 2 episodes
Representation Learning — 2× in this paper · explained in 2 episodes
Semantic Similarity — 2× in this paper · explained in 2 episodes
Transformer — 2× in this paper · explained in 2 episodes
Accuracy — 1× in this paper · explained in 1 episode
Aggregation — 1× in this paper · explained in 1 episode
Continual Learning — 1× in this paper · explained in 2 episodes
Contrastive Learning — 1× in this paper · explained in 5 episodes
Distillation — 1× in this paper · explained in 2 episodes
Empirical Methods in Natural Language Processing — 1× in this paper
Failure Modes — 1× in this paper · explained in 3 episodes
Fine-Tuning — 1× in this paper · explained in 5 episodes
In-Context Learning — 1× in this paper · explained in 4 episodes
Meeting of the Association for Computational Linguistics — 1× in this paper
RAG — 1× in this paper · explained in 3 episodes

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