---
title: "Kaiqi Zhao — author profile and papers — Elamur Research"
description: "Kaiqi Zhao, Harbin Institute of Technology: 2 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors and who cites…"
canonical: "https://research.elamur.ai/free/en/authors/kaiqi-zhao/"
---
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[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Kaiqi Zhao

# Kaiqi Zhao

Kaiqi Zhao has 2 papers in our library, in 2026, most of them on [Legal AI](https://md.research.elamur.ai/free/en/topics/legal-ai/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Qian Liu](https://md.research.elamur.ai/free/en/authors/qian-liu/), [Qiqi Wang](https://md.research.elamur.ai/free/en/authors/qiqi-wang/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5139733187) · [**h-index 0**](https://openalex.org/authors/A5139733187) · [4 works](https://openalex.org/works?filter=author.id:A5139733187) · [0 citations](https://openalex.org/works?filter=author.id:A5139733187&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/kaiqi-zhao/#papers) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #12075](https://md.research.elamur.ai/free/en/paper-stars/page/121/#star-12075)

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

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Kaiqi+Zhao) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Kaiqi+Zhao) · [dblp](https://dblp.org/search?q=Kaiqi+Zhao) · [ACL Anthology](https://aclanthology.org/search/?q=Kaiqi+Zhao)

## Affiliations

[🎓**Harbin Institute of Technology** Harbin · China 2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/universities/harbin-institute-of-technology/)

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

## Fields, topics and concepts

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

📚 Shelves 7 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Law · 2 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/law/) · [Political Science and International Relations · 2 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/political-science-and-international-relations/) · [Social Sciences · 2 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/)

🧭 Topics 2 Research subjects and languages the work is about.[Legal AI · 2 works](https://md.research.elamur.ai/free/en/topics/legal-ai/) · [Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/)

## Works by year

### 2020s

[**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/kaiqi-zhao/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[LegalChainReasoner: Grounding Criminal Judicial Opinion Generation via Structured Legal Chains](https://md.research.elamur.ai/free/en/papers/shi-2026-legalchainreasoner-grounding-criminal-judicial-opinion/)** *(2026)* Current LegalAI work treats legal reasoning and sentencing prediction as separate tasks. As a result, generated arguments can contradict the predicted penalty, and predicted sentences come with no legal justification. The authors propose a new task, Criminal Judicial Opinion Generation (CJOG), in which a model writes…
2. **[Less is More: Knowledge-Aware Compression for Long Legal Judgment Prediction](https://md.research.elamur.ai/free/en/papers/lou-2026-less-is-more-knowledge-aware/)** *(2026)* Predicting court outcomes from long case descriptions is costly for LLMs because attention cost grows quadratically with input length, and crucial legal facts can get lost in lengthy contexts.

## All works

4 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. **[LegalChainReasoner: Grounding Criminal Judicial Opinion Generation via Structured Legal Chains](https://md.research.elamur.ai/free/en/papers/shi-2026-legalchainreasoner-grounding-criminal-judicial-opinion/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Weizhe Shi, Qiqi Wang, Yihong Pan, et al.*2026*
2. **[Less is More: Knowledge-Aware Compression for Long Legal Judgment Prediction](https://md.research.elamur.ai/free/en/papers/lou-2026-less-is-more-knowledge-aware/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Fanghao Lou, Qiqi Wang, Guanyu Chen, et al.*2026*
3. **[Disentangling Reasoning Logic to Resolve Explicit Knowledge Conflicts ↗](https://aclanthology.org/2026.acl-long.1451/) Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Xianda Zheng et al.*2026*
4. **[Evo-PI: Aligning Medical Reasoning via Evolving Principle-Guided Supervision ↗](https://aclanthology.org/2026.acl-long.1469/) Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Xianda Zheng et al.*2026*

## Co-authors here

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

- [Qian Liu](https://md.research.elamur.ai/free/en/authors/qian-liu/) ×2
- [Qiqi Wang](https://md.research.elamur.ai/free/en/authors/qiqi-wang/) ×2

## Venues

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

- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×3: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/)
- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/)

Updated 31 October 2026
