A General Framework for Producing Interpretable Semantic Text Embeddings

Yiqun Sun, Qiang Huang, Yixuan Tang, A. K. Tung, Jun Yu
2/12/2026

No confident code implementation found for this paper. 1 possible match can be shown below.

Semantic Scholar

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. 1 weaker match is hidden by default — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

Adaptive Data Collection for Robust Learning Across Multiple Distributions

100% match2026

Certified Adversarial Robustness for Rate Encoded Spiking Neural Networks

100% match2026

Reparameterized Importance Sampling for Robust Variational Bayesian Neural Networks

100% match2026

Surface Snapping Optimization Layer for Single Image Object Shape Reconstruction

100% match2026

Causal Graph Transformer for Treatment Effect Estimation Under Unknown Interference

100% match2026

Functional Interpolation for Relative Positions Improves Long Context Transformers

100% match2026

Cite this paper

@article{sun2026general,
  title  = {A General Framework for Producing Interpretable Semantic Text Embeddings},
  author = {Yiqun Sun and Qiang Huang and Yixuan Tang and A. K. Tung and Jun Yu},
  year   = {2026},
  url    = {https://api.semanticscholar.org/CorpusID:3a9729ff8812a1590bf3c628a4b273f6fb4d8034},
  journal = {ICLR 2025 2025}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/3a9729ff8812a1590bf3c628a4b273f6fb4d8034.svg)](https://codeofpaper.com/paper/3a9729ff8812a1590bf3c628a4b273f6fb4d8034)

Discussion