---
title: "Gladys Tyen — author profile and papers — Elamur Research"
description: "Gladys Tyen, University of Cambridge: 2 papers on Elamur Research (2024–2025), h-index 4 — affiliations, topics, co-authors and who cites…"
canonical: "https://research.elamur.ai/free/en/authors/gladys-tyen/"
---
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# Gladys Tyen

Gladys Tyen has 2 papers in our library, in 2024–2025, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Peter Chen](https://md.research.elamur.ai/free/en/authors/peter-chen/), [Hritik Bansal](https://md.research.elamur.ai/free/en/authors/hritik-bansal/), [John Palowitch](https://md.research.elamur.ai/free/en/authors/john-palowitch/).

2 papers in our library · 2024–2025

[OpenAlex](https://openalex.org/A5013438241) · [ORCID](https://orcid.org/0009-0009-7362-3085) · [**h-index 4**](https://openalex.org/authors/A5013438241) · [13 works](https://openalex.org/works?filter=author.id:A5013438241) · [115 citations](https://openalex.org/works?filter=author.id:A5013438241&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/gladys-tyen/#papers) · [🔗 Cited 100 times in our library](https://md.research.elamur.ai/free/en/authors/gladys-tyen/cited-by/) · [⭐ Paper Stars ranking: #6273](https://md.research.elamur.ai/free/en/paper-stars/page/63/#star-6273)

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

## Affiliations

[🎓**University of Cambridge** Cambridge · United Kingdom 2021–2025 · 5 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-cambridge/)

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 4 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/)

🧭 Topics 2 Research subjects and languages the work is about.[Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/)

## Works by year

### 2020s

[**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/gladys-tyen/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/gladys-tyen/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[LLMs cannot find reasoning errors, but can correct them given the error location](https://md.research.elamur.ai/free/en/papers/tyen-2024-llms-cannot-find-reasoning-errors/)** *(2024 · 85 citations)* Self-correction in LLMs often fails on reasoning tasks and can even turn right answers into wrong ones. The authors split self-correction into two stages, locating the error and fixing it, to find out which stage is the bottleneck. They built BIG-Bench Mistake, a dataset of Chain-of-Thought traces produced by PaLM 2…
2. **[BIG-Bench Extra Hard](https://md.research.elamur.ai/free/en/papers/kazemi-2025-big-bench-extra-hard/)** *(2025 · 58 citations)* BIG-Bench Hard (BBH) used to be the standard test of broad, non-mathematical reasoning in LLMs. Frontier systems now score above 90% on it, so it no longer separates strong models from each other. The authors present BIG-Bench Extra Hard (BBEH), which swaps each of the 23 BBH tasks for a new, much tougher task that…

## Co-authors here

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

- [Peter Chen](https://md.research.elamur.ai/free/en/authors/peter-chen/) ×2
- [Hritik Bansal](https://md.research.elamur.ai/free/en/authors/hritik-bansal/)
- [John Palowitch](https://md.research.elamur.ai/free/en/authors/john-palowitch/)
- [Mehran Kazemi](https://md.research.elamur.ai/free/en/authors/mehran-kazemi/)

## 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 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/)
- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2024](https://md.research.elamur.ai/free/en/venues/findings/2024/)

## Cited by

Papers of our library cite their works 100 times (of the 149,439 papers whose bibliographies we read); [25 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/gladys-tyen/cited-by/).

Updated 30 October 2026
