Kai Zhao

Kai Zhao has 3 papers in our library, in 2017–2026, most of them on Discourse analysis, Treebanks, English; often with Liang Huang, Xu Chu.

3 papers in our library · 2017–2026

The profile is the library's match of the name; two people with one name are not always told apart.

Affiliations

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

Of its works in our library, with the number of works on each.

The most cited first (OpenAlex and our library).

Joint Syntacto-Discourse Parsing and the Syntacto-Discourse Treebank (2017 · 43 citations)
The paper proposes a discourse parser that builds constituency and RST discourse trees in one pass, with no pre-segmentation and no external syntactic features.
LAMCL: A Length-aware Momentum Contrastive Learning Framework for Multiscale Machine-Revised Text Detection (2026)
The paper addresses a difficult detection case: text that a human wrote and an LLM later rewrote or polished.
Robust Explanations for User Trust in Enterprise NLP Systems (2026)
Enterprise teams often reach NLP models only through APIs. That rules out gradient- or attention-based explainers and makes it hard to check, before deployment, whether token-level rationales stay stable when users introduce noise. The question matters more as companies move from encoder classifiers to decoder LLMs.…

2 co-authors with a page, the most papers together first.

Where their works here were published, the most works first, with the editions of those that have a page.

Papers of our library cite their works 4 times (of the 149,439 papers whose bibliographies we read).

Updated 2 November 2026