Learning Interpretable Text Signals for Structured Responses

arXiv:2606.25268 · stat.AP, stat.ML · Submitted 2026-06-24 · Read on arXiv

Cixiao Jiang, Ben Powell, Niall MacKay

stat.AP, stat.ML

Submitted: 2026-06-24

Comments: 22 pages, 13 figures

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

Terminology

Overfitting — 8× in this paper · explained in 2 episodes
Accuracy — 5× in this paper · explained in 1 episode
Latent Representation — 4× in this paper · explained in 2 episodes
Papers — 3× in this paper · explained in 3 episodes
Sparsity — 3× in this paper · explained in 5 episodes
Benchmark — 2× in this paper · explained in 2 episodes
Clustering — 2× in this paper · explained in 2 episodes
Composition — 2× in this paper · explained in 2 episodes
Interpretability — 2× in this paper · explained in 15 episodes
Lasso — 2× in this paper · explained in 2 episodes
Robustness — 2× in this paper · explained in 6 episodes
Transformer — 2× in this paper · explained in 2 episodes
Verification — 2× in this paper · explained in 2 episodes
Contrastive Learning — 1× in this paper · explained in 9 episodes
Faithfulness — 1× in this paper · explained in 2 episodes
Generative Model — 1× in this paper · explained in 2 episodes
Joint Binomial Nonnegative Matrix Factorisation — 1× in this paper
Model Interpretability — 1× in this paper · explained in 2 episodes
Objective Function — 1× in this paper · explained in 2 episodes
Representation Learning — 1× in this paper · explained in 3 episodes
Transformers — 1× in this paper · explained in 2 episodes

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