---
title: "Xingyu Chen — author profile and papers — Elamur Research"
description: "Xingyu Chen, Tencent: 6 papers on Elamur Research (2024–2026), h-index 0 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/xingyu-chen/"
---
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# Xingyu Chen

Xingyu Chen has 6 papers in our library, in 2024–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Speech & spoken language](https://md.research.elamur.ai/free/en/topics/speech/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Fanghua Ye](https://md.research.elamur.ai/free/en/authors/fanghua-ye/), [Ruotian Ma](https://md.research.elamur.ai/free/en/authors/ruotian-ma/), [Qingxuan Jiang](https://md.research.elamur.ai/free/en/authors/qingxuan-jiang/).

6 papers in our library · 2024–2026

[OpenAlex](https://openalex.org/A5139774318) · [**h-index 0**](https://openalex.org/authors/A5139774318) · [4 works](https://openalex.org/works?filter=author.id:A5139774318) · [0 citations](https://openalex.org/works?filter=author.id:A5139774318&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 6 works in our library](https://md.research.elamur.ai/free/en/authors/xingyu-chen/#papers) · [🔗 Cited 205 times in our library](https://md.research.elamur.ai/free/en/authors/xingyu-chen/cited-by/) · [⭐ Paper Stars ranking: #5559](https://md.research.elamur.ai/free/en/paper-stars/page/56/#star-5559)

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

## Affiliations

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

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 10 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 6 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 6 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 6 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 6 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/) · [Safety Research · 2 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Social Sciences · 2 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Economics and Econometrics · 1 work](https://md.research.elamur.ai/free/en/shelves/economics-econometrics-and-finance/economics-and-econometrics/) · [Economics, Econometrics and Finance · 1 work](https://md.research.elamur.ai/free/en/shelves/economics-econometrics-and-finance/) · [Signal Processing · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/signal-processing/)

🧭 Topics 4 Research subjects and languages the work is about.[Language models & pretraining · 4 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Speech & spoken language · 1 work](https://md.research.elamur.ai/free/en/topics/speech/)

## Works by year

### 2020s

[**2026** 4 papers](https://md.research.elamur.ai/free/en/authors/xingyu-chen/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/xingyu-chen/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/xingyu-chen/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs](https://md.research.elamur.ai/free/en/papers/chen-2024-think-that-much-2-3/)** *(2024 · 192 citations)* Reasoning models in the o1 family get better accuracy by writing very long chains of thought. This paper argues that much of that extra test-time compute is wasted. The authors call the waste "overthinking": after a model already has the right answer to a trivial question, it keeps producing new solution attempts.…
2. **[Alignment for Efficient Tool Calling of Large Language Models](https://md.research.elamur.ai/free/en/papers/xu-2025-alignment-efficient-tool-calling-large/)** *(2025 · 13 citations)* LLMs equipped with tools often misjudge when a tool is worth calling. They may call a calculator, search engine or stronger model for questions they could answer alone (over-tool-reliance), or they may skip a tool when they actually need it (overconfidence). Both errors waste time and money or lower accuracy. The…
3. **[Sentient Agent as a Judge: Evaluating Higher-Order Social Cognition in Large Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2026-sentient-agent-as-judge-evaluating/)** *(2026 · 6 citations)* Standard LLM leaderboards reward textual skill and helpfulness, but they rarely check whether a model actually reads people well.
4. **[Too Good to be Bad: On the Failure of LLMs to Role-Play Villains](https://md.research.elamur.ai/free/en/papers/yi-2026-too-good-be-bad-failure/)** *(2026 · 3 citations)* LLMs are increasingly used for interactive fiction, games and co-written stories, yet nobody had systematically checked whether they can convincingly play antagonists.
5. **[BatonVoice: An Operationalist Framework for Enhancing Controllable Speech Synthesis with Linguistic Intelligence from LLMs](https://md.research.elamur.ai/free/en/papers/wang-2026-batonvoice-operationalist-framework-enhancing-controllable/)** *(2026)* Current LLM-based text-to-speech systems mostly use the LLM as a backbone for generating speech tokens. Controllable synthesis then depends on costly, inconsistent human annotation of speech with style labels, and the model's instruction-following ability goes largely unused. Inspired by operationalism, the authors…
6. **[Social Welfare Function Leaderboard: On the Emergence of LLM Agents as the Welfare Dictator](https://md.research.elamur.ai/free/en/papers/shi-2026-social-welfare-function-leaderboard-emergence/)** *(2026)* LLMs are increasingly used in consequential settings, but little is known about the values they apply when distributing scarce resources.

## Co-authors here

12 of 31 co-authors with a page, the most papers together first.

- [Fanghua Ye](https://md.research.elamur.ai/free/en/authors/fanghua-ye/) ×4
- [Ruotian Ma](https://md.research.elamur.ai/free/en/authors/ruotian-ma/) ×4
- [Qingxuan Jiang](https://md.research.elamur.ai/free/en/authors/qingxuan-jiang/) ×3
- [Qu Yang](https://md.research.elamur.ai/free/en/authors/qu-yang/) ×3
- [Yue Wang](https://md.research.elamur.ai/free/en/authors/yue-wang/) ×3
- [Zhaopeng Tu](https://md.research.elamur.ai/free/en/authors/zhaopeng-tu/) ×3
- [Mengru Wang](https://md.research.elamur.ai/free/en/authors/mengru-wang/) ×2
- [Zhengliang Shi](https://md.research.elamur.ai/free/en/authors/zhengliang-shi/) ×2
- [Bang Zhang](https://md.research.elamur.ai/free/en/authors/bang-zhang/)
- [Dian Yu](https://md.research.elamur.ai/free/en/authors/dian-yu/)
- [Jen-tse Huang](https://md.research.elamur.ai/free/en/authors/jen-tse-huang/)
- [Jiahao Xu](https://md.research.elamur.ai/free/en/authors/jiahao-xu/)

## Venues

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

- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) ×3: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×3
- [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/)
- [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2025](https://md.research.elamur.ai/free/en/venues/emnlp/2025/)

## Cited by

Papers of our library cite their works 205 times (of the 149,439 papers whose bibliographies we read); [62 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/xingyu-chen/cited-by/).

Updated 1 November 2026
