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When Can We Work in Embedding Space? What Text Embeddings Preserve

Paper recorded by Signals 4 on 2026-08-31 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-08-31 on arXiv · recorded by Signals 4 on 2026-09-01

Category: cs.CL · 自然语言处理 · first seen 2026-09-01

Abstract

When do text embeddings work as inputs to empirical analysis? Their use rests on an assumption: that we can trade text for its low-dimensional embedding, and lose little in doing so. I make that assumption precise under a generative model in which documents are mixtures of latent topics. I study two uses---clustering units in embedding space and controlling for high-dimensional text. A cluster of

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#156 most recent of 186 cs.CL papers we have recorded · ↑ newer: Every Token Leaves a Ripple in the Stream of Thought: Eliciting Model- · ↓ older: Improving Information Extraction with Learned Queries
Cite this page: When Can We Work in Embedding Space? What Text Embeddings Preserve: the #156 most recent of 186 cs.CL papers we have recorded (as of 2026-08-31). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/when-can-we-work-in-embedding-space-what-text-embeddings-preserve.html
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