---
title: "Shiyu Chang — author profile and papers"
description: "Shiyu Chang, University of California, Santa Barbara: 5 papers on Elamur Research (2018–2025), h-index 49 — affiliations, topics, co-authors and who…"
canonical: "https://research.elamur.ai/free/en/authors/shiyu-chang/"
---
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# Shiyu Chang

Shiyu Chang has 5 papers in our library, in 2018–2025, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Yang Zhang](https://md.research.elamur.ai/free/en/authors/yang-zhang/), [Bairu Hou](https://md.research.elamur.ai/free/en/authors/bairu-hou/), [Mo Yu](https://md.research.elamur.ai/free/en/authors/mo-yu/).

5 papers in our library · 2018–2025

[OpenAlex](https://openalex.org/A5112248869) · [ORCID](https://orcid.org/0009-0006-2943-375X) · [**h-index 49**](https://openalex.org/authors/A5112248869) · [225 works](https://openalex.org/works?filter=author.id:A5112248869) · [8,710 citations](https://openalex.org/works?filter=author.id:A5112248869&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 5 works in our library](https://md.research.elamur.ai/free/en/authors/shiyu-chang/#papers) · [🔗 380 citations in our library](https://md.research.elamur.ai/free/en/authors/shiyu-chang/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Star rank #2398](https://md.research.elamur.ai/free/en/paper-stars/page/24/#star-2398)

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

## Affiliations

[🎓**University of California, Santa Barbara** Santa Barbara · United States 2018–2026 · 48 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-california-santa-barbara/) · [🏥**First Hospital of Jilin University** Changchun · China 2024–2026 · 22 papers*current*](https://ror.org/034haf133) · [🏢**Accenture** New York · United States 2026 · 1 paper*current*](https://ror.org/013g16z83) · [🏢**IBM** Armonk · United States 2016–2022 · 57 papers](https://md.research.elamur.ai/free/en/companies/ibm/) · [🎓**University of Illinois Urbana-Champaign** Urbana · United States 2010–2017 · 31 papers](https://md.research.elamur.ai/free/en/universities/university-of-illinois-urbana-champaign/) · [🎓**Massachusetts Institute of Technology** Cambridge · United States 2018–2022 · 18 papers](https://md.research.elamur.ai/free/en/universities/massachusetts-institute-of-technology/) · [🔬**IBM Research - Thomas J. Watson Research Center** Yorktown Heights · United States 2016–2018 · 12 papers](https://md.research.elamur.ai/free/en/labs/ibm-research-thomas-j-watson-research-center/) · [🎓**Shanxi Medical University** Taiyuan · China 2022–2025 · 7 papers](https://ror.org/0265d1010) · [🎓**Jilin University** Changchun · China 2024–2025 · 5 papersEmployment · The first hospital of jilin university](https://md.research.elamur.ai/free/en/universities/jilin-university/) · [🎓**The University of Texas at Austin** Austin · United States 2021–2023 · 3 papers](https://md.research.elamur.ai/free/en/universities/the-university-of-texas-at-austin/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 14 more institutions on single bylines are not listed.

## Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

💡 Concepts 1[Semantic similarity · 1 work](https://md.research.elamur.ai/free/en/concepts/semantic-similarity/)

📚 Shelves 5[Arts and Humanities · 5 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 5 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 3[Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/)

## Works by year

### 2020s

[**2025** 1 paper](https://md.research.elamur.ai/free/en/papers/hou-2025-thinkprune-pruning-long-chain-thought/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/papers/albalak-2024-survey-data-selection-language-models/) · [**2022** 1 paper](https://md.research.elamur.ai/free/en/papers/chuang-2022-diffcse-difference-based-contrastive-learning/)

### 2010s

[**2019** 1 paper](https://md.research.elamur.ai/free/en/papers/yu-2019-rethinking-cooperative-rationalization-introspective-extraction/) · [**2018** 1 paper](https://md.research.elamur.ai/free/en/papers/yu-2018-diverse-few-shot-text-classification/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Diverse Few-Shot Text Classification with Multiple Metrics](https://md.research.elamur.ai/free/en/papers/yu-2018-diverse-few-shot-text-classification/)** *(2018 · 291 citations)* Most few-shot learning research assumes that all tasks are drawn from one large, homogeneous collection, as with Omniglot or ImageNet.
2. **[DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings](https://md.research.elamur.ai/free/en/papers/chuang-2022-diffcse-difference-based-contrastive-learning/)** *(2022 · 269 citations)* Unsupervised sentence embedding methods such as SimCSE train an encoder so that two dropout-perturbed copies of a sentence stay close together.
3. **[Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control](https://md.research.elamur.ai/free/en/papers/yu-2019-rethinking-cooperative-rationalization-introspective-extraction/)** *(2019 · 175 citations)* Selective rationalization trains a generator to highlight a small part of the input text and a predictor that classifies using only that highlighted part. This paper identifies two weaknesses of the cooperative setup.
4. **[A Survey on Data Selection for Language Models](https://md.research.elamur.ai/free/en/papers/albalak-2024-survey-data-selection-language-models/)** *(2024 · 85 citations)* Large language models depend on huge web-scale corpora, but using every available document is often wasteful or harmful because text quality varies widely.
5. **[ThinkPrune: Pruning Long Chain-of-Thought of LLMs via Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/hou-2025-thinkprune-pruning-long-chain-thought/)** *(2025 · 64 citations)* Reasoning models trained to produce long chains of thought often generate redundant, inefficient reasoning, which inflates inference cost.

## All works

7 works of theirs in our library, the most cited first; 5 with a page here, the others link their original until we summarise them.

1. **[Diverse Few-Shot Text Classification with Multiple Metrics](https://md.research.elamur.ai/free/en/papers/yu-2018-diverse-few-shot-text-classification/)**Mo Yu, Xiaoxiao Guo, Jinfeng Yi, et al.*[Conference of the North American Chapter of the…](https://md.research.elamur.ai/free/en/venues/naacl/) · 291 citations*
2. **[DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings](https://md.research.elamur.ai/free/en/papers/chuang-2022-diffcse-difference-based-contrastive-learning/)**Yung-Sung Chuang, Rumen Dangovski, Hongyin Luo, et al.*[Conference of the North American Chapter of the…](https://md.research.elamur.ai/free/en/venues/naacl/) · 269 citations*
3. **[Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control](https://md.research.elamur.ai/free/en/papers/yu-2019-rethinking-cooperative-rationalization-introspective-extraction/)**Mo Yu, Shiyu Chang, Yang Zhang, et al.*[Conference on Empirical Methods in Natural…](https://md.research.elamur.ai/free/en/venues/emnlp/) · 175 citations*
4. [**A Survey on Data Selection for Language Models**Alon Albalak, Yanai Elazar, Sang Michael Xie, et al.*arXiv:2402.16827 · 85 citations*](https://md.research.elamur.ai/free/en/papers/albalak-2024-survey-data-selection-language-models/)
5. [**ThinkPrune: Pruning Long Chain-of-Thought of LLMs via Reinforcement Learning**Bairu Hou, Yang Zhang, Jiabao Ji, et al.*arXiv:2504.01296 · 64 citations*](https://md.research.elamur.ai/free/en/papers/hou-2025-thinkprune-pruning-long-chain-thought/)
6. **[A Probabilistic Framework for LLM Hallucination Detection via Belief Tree Propagation](https://aclanthology.org/2025.naacl-long.158/) (original ↗)**Bairu Hou et al.*2025 · Proceedings of the 2025 Conference of the… · 12 citations · no summary yet*
7. **[WebDART: Dynamic Decomposition and Re-planning for Complex Web Tasks](https://aclanthology.org/2026.findings-acl.568/) (original ↗)**Jingbo Yang et al.*2026 · Findings of the Association for Computational… · 2 citations · no summary yet*

## Co-authors here

12 of 23 co-authors with a page, the most papers together first.

- [Yang Zhang](https://md.research.elamur.ai/free/en/authors/yang-zhang/) ×3
- [Bairu Hou](https://md.research.elamur.ai/free/en/authors/bairu-hou/) ×2
- [Mo Yu](https://md.research.elamur.ai/free/en/authors/mo-yu/) ×2
- [Alon Albalak](https://md.research.elamur.ai/free/en/authors/alon-albalak/)
- [Bowen Zhou](https://md.research.elamur.ai/free/en/authors/bowen-zhou/)
- [Colin Raffel](https://md.research.elamur.ai/free/en/authors/colin-raffel/)
- [Hongyin Luo](https://md.research.elamur.ai/free/en/authors/hongyin-luo/)
- [Jacob Andreas](https://md.research.elamur.ai/free/en/authors/jacob-andreas/)
- [James Glass](https://md.research.elamur.ai/free/en/authors/james-glass/)
- [Liangming Pan](https://md.research.elamur.ai/free/en/authors/liangming-pan/)
- [Nathan Lambert](https://md.research.elamur.ai/free/en/authors/nathan-lambert/)
- [Niklas Muennighoff](https://md.research.elamur.ai/free/en/authors/niklas-muennighoff/)

## Venues

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

- [Conference of the North American Chapter of the Association…](https://md.research.elamur.ai/free/en/venues/naacl/) ×2: [2022](https://md.research.elamur.ai/free/en/venues/naacl/2022/), [2018](https://md.research.elamur.ai/free/en/venues/naacl/2018/)
- [Conference on Empirical Methods in Natural Language…](https://md.research.elamur.ai/free/en/venues/emnlp/): [2019](https://md.research.elamur.ai/free/en/venues/emnlp/2019/)
- Findings of the Association for Computational Linguistics…
- Proceedings of the 2025 Conference of the Nations of the…

## Cited by

Papers of our library cite their works 380 times (of the 141,840 papers whose bibliographies we read); [25 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/shiyu-chang/cited-by/).

Updated 24 October 2026