---
title: "Linlu Qiu — author profile and papers — Elamur Research"
description: "Linlu Qiu, Massachusetts Institute of Technology: 2 papers on Elamur Research (2022–2024), h-index 8 — affiliations, topics, co-authors and…"
canonical: "https://research.elamur.ai/free/en/authors/linlu-qiu/"
---
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# Linlu Qiu

Linlu Qiu has 2 papers in our library, in 2022–2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Cheng-Yu Hsieh](https://md.research.elamur.ai/free/en/authors/cheng-yu-hsieh/), [James Glass](https://md.research.elamur.ai/free/en/authors/james-glass/), [Kristina Toutanova](https://md.research.elamur.ai/free/en/authors/kristina-toutanova/).

2 papers in our library · 2022–2024

[OpenAlex](https://openalex.org/A5003617960) · [ORCID](https://orcid.org/0000-0002-1696-5419) · [**h-index 8**](https://openalex.org/authors/A5003617960) · [27 works](https://openalex.org/works?filter=author.id:A5003617960) · [808 citations](https://openalex.org/works?filter=author.id:A5003617960&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/linlu-qiu/#papers) · [🔗 Cited 126 times in our library](https://md.research.elamur.ai/free/en/authors/linlu-qiu/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #4854](https://md.research.elamur.ai/free/en/paper-stars/page/49/#star-4854)

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

## Affiliations

[🎓**Massachusetts Institute of Technology** Cambridge · United States 2022–2026 · 20 papers*current*](https://md.research.elamur.ai/free/en/universities/massachusetts-institute-of-technology/) · [🏢**Google** Mountain View · United States 2021–2022 · 6 papers](https://md.research.elamur.ai/free/en/companies/google/) · [🎓**Boston University** Boston · United States 2023–2024 · 2 papers](https://md.research.elamur.ai/free/en/universities/boston-university/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 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.

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

## Works by year

### 2020s

[**2024** 1 paper Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps](https://md.research.elamur.ai/free/en/papers/chuang-2024-lookback-lens-detecting-mitigating-contextual/) · [**2022** 1 paper Improving Compositional Generalization with Latent Structure and Data Augmentation](https://md.research.elamur.ai/free/en/papers/qiu-2022-improving-compositional-generalization-latent-structure/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps](https://md.research.elamur.ai/free/en/papers/chuang-2024-lookback-lens-detecting-mitigating-contextual/)** *(2024 · 76 citations)* The paper addresses contextual hallucinations, where an LLM has the correct facts in its input but still produces unsupported content, for example in summarization or document-grounded QA.
2. **[Improving Compositional Generalization with Latent Structure and Data Augmentation](https://md.research.elamur.ai/free/en/papers/qiu-2022-improving-compositional-generalization-latent-structure/)** *(2022 · 76 citations)* Pre-trained sequence-to-sequence models such as T5 cope well with natural language variation. However, they often fail when test inputs combine familiar elements in unseen ways. Specialized models with discrete latent structure handle such compositions better, but their gains have mostly been limited to synthetic…

## 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. **[Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps](https://md.research.elamur.ai/free/en/papers/chuang-2024-lookback-lens-detecting-mitigating-contextual/)**Yung-Sung Chuang, Linlu Qiu, Cheng-Yu Hsieh, et al.*[Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/) · 76 citations*
2. **[Improving Compositional Generalization with Latent Structure and Data Augmentation](https://md.research.elamur.ai/free/en/papers/qiu-2022-improving-compositional-generalization-latent-structure/)**Linlu Qiu, Peter Shaw, Panupong Pasupat, et al.*[Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/) · 76 citations*
3. **[The Surprising Effectiveness of Test-Time Training for Few-Shot Learning](https://arxiv.org/abs/2411.07279) · original ↗ · no summary yet · arXiv:2411.07279**Ekin Akyürek et al.*2024 · 32 citations*
4. **[On the Same Wavelength? Evaluating Pragmatic Reasoning in Language Models across Broad Concepts](https://aclanthology.org/2025.emnlp-main.1008/) · original ↗ · no summary yet · Proceedings of the 2025 Conference on Empirical Methods in Natural Language…**Linlu Qiu et al.*2025 · 3 citations*

## Co-authors here

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

- [Cheng-Yu Hsieh](https://md.research.elamur.ai/free/en/authors/cheng-yu-hsieh/)
- [James Glass](https://md.research.elamur.ai/free/en/authors/james-glass/)
- [Kristina Toutanova](https://md.research.elamur.ai/free/en/authors/kristina-toutanova/)
- [Panupong Pasupat](https://md.research.elamur.ai/free/en/authors/panupong-pasupat/)
- [Pawel Nowak](https://md.research.elamur.ai/free/en/authors/pawel-nowak/)
- [Peter Shaw](https://md.research.elamur.ai/free/en/authors/peter-shaw/)
- [Ranjay Krishna](https://md.research.elamur.ai/free/en/authors/ranjay-krishna/)
- [Tal Linzen](https://md.research.elamur.ai/free/en/authors/tal-linzen/)
- [Yoon Kim](https://md.research.elamur.ai/free/en/authors/yoon-kim/)
- [Yung-Sung Chuang](https://md.research.elamur.ai/free/en/authors/yung-sung-chuang/)

## Venues

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

- [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/) ×2: [EMNLP 2024](https://md.research.elamur.ai/free/en/venues/emnlp/2024/)
- [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/): [NAACL 2022](https://md.research.elamur.ai/free/en/venues/naacl/2022/)

## Cited by

Papers of our library cite their works 126 times (of the 141,840 papers whose bibliographies we read); [4 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/linlu-qiu/cited-by/).

Updated 24 October 2026
