---
title: "Tingting Gao — author profile and papers · Reasoning"
description: "Tingting Gao, Kuaishou: 2 papers on Elamur Research (2026), h-index 1 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/tingting-gao/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/tingting-gao/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Tingting Gao

# Tingting Gao

Tingting Gao has 2 papers in our library, in 2026, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Bo Pan](https://md.research.elamur.ai/free/en/authors/bo-pan/), [Guorui Zhou](https://md.research.elamur.ai/free/en/authors/guorui-zhou/), [Haoxuan Li](https://md.research.elamur.ai/free/en/authors/haoxuan-li/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5139808349) · [**h-index 1**](https://openalex.org/authors/A5139808349) · [8 works](https://openalex.org/works?filter=author.id:A5139808349) · [2 citations](https://openalex.org/works?filter=author.id:A5139808349&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/tingting-gao/#papers) · [🔗 Cited 16 times in our library](https://md.research.elamur.ai/free/en/authors/tingting-gao/cited-by/) · [⭐ Paper Stars ranking: #10616](https://md.research.elamur.ai/free/en/paper-stars/page/107/#star-10616)

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=Tingting+Gao) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Tingting+Gao) · [dblp](https://dblp.org/search?q=Tingting+Gao) · [ACL Anthology](https://aclanthology.org/search/?q=Tingting+Gao)

## Affiliations

[🏢**Kuaishou** Beijing · China 2025–2026 · 6 papers*current*](https://md.research.elamur.ai/free/en/companies/kuaishou/)

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 5 The field of science this work belongs to (OpenAlex fields).[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/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/)

🧭 Topics 1 Research subjects and languages the work is about.[Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/)

## Works by year

### 2020s

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

## Papers

The most cited first (OpenAlex and our library).

1. **[Unlocking Exploration in RLVR: Uncertainty-aware Advantage Shaping for Deeper Reasoning](https://md.research.elamur.ai/free/en/papers/xie-2026-unlocking-exploration-rlvr-uncertainty-aware/)** *(2026 · 15 citations)* Standard RLVR algorithms such as GRPO give every token in a sampled response the same advantage. They cannot tell pivotal reasoning decisions from routine ones, so the policy settles too early on a few safe trajectories and suffers entropy collapse. The authors, from Kuaishou Technology, propose UCAS…
2. **[IGenBench: Benchmarking the Reliability of Text-to-Infographic Generation](https://md.research.elamur.ai/free/en/papers/tang-2026-igenbench-benchmarking-reliability-text-infographic/)** *(2026 · 1 citation)* Modern text-to-image (T2I) models can produce polished visuals, but infographics also demand faithful data encoding and correct text.

## Co-authors here

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

- [Bo Pan](https://md.research.elamur.ai/free/en/authors/bo-pan/)
- [Guorui Zhou](https://md.research.elamur.ai/free/en/authors/guorui-zhou/)
- [Haoxuan Li](https://md.research.elamur.ai/free/en/authors/haoxuan-li/)
- [Luoxuan Weng](https://md.research.elamur.ai/free/en/authors/luoxuan-weng/)
- [Tingfeng Lan](https://md.research.elamur.ai/free/en/authors/tingfeng-lan/)
- [Xiangyu Wu](https://md.research.elamur.ai/free/en/authors/xiangyu-wu/)
- [Yinghao Tang](https://md.research.elamur.ai/free/en/authors/yinghao-tang/)
- [Yupeng Xie](https://md.research.elamur.ai/free/en/authors/yupeng-xie/)

## 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/): [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/)

## Cited by

Papers of our library cite their works 16 times (of the 149,439 papers whose bibliographies we read); [9 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/tingting-gao/cited-by/).

Updated 2 November 2026
