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Linlu Qiu

Linlu Qiu has 2 papers in our library, in 2022–2024, most of them on Language models & pretraining; often with Cheng-Yu Hsieh, James Glass, Kristina Toutanova.

2 papers in our library · 2022–2024

OpenAlex · ORCID · h-index 8 · 27 works · 808 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 126 citations in our library · 2 more in our library without a page yet · ⭐ Paper Star rank #4854

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓Massachusetts Institute of TechnologyCambridge · United States2022–2026 · 20 paperscurrent🏢GoogleMountain View · United States2021–2022 · 6 papers🎓Boston UniversityBoston · United States2023–2024 · 2 papers

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 Artificial Intelligence · 2 works Arts and Humanities · 2 works Computer Science · 2 works Language and Linguistics · 2 works

🧭 Topics 1 Language models & pretraining · 1 work

 Works by year

2020s

20241 paper20221 paper

 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 (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 (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 MapsYung-Sung Chuang, Linlu Qiu, Cheng-Yu Hsieh, et al.Conference on Empirical Methods in Natural… · 76 citations
  2. Improving Compositional Generalization with Latent Structure and Data AugmentationLinlu Qiu, Peter Shaw, Panupong Pasupat, et al.Conference of the North American Chapter of the… · 76 citations
  3. The Surprising Effectiveness of Test-Time Training for Few-Shot Learning (original ↗)Ekin Akyürek et al.2024 · arXiv:2411.07279 · 32 citations · no summary yet
  4. On the Same Wavelength? Evaluating Pragmatic Reasoning in Language Models across Broad Concepts (original ↗)Linlu Qiu et al.2025 · Proceedings of the 2025 Conference on Empirical… · 3 citations · no summary yet

 Co-authors here

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

Venues

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

 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 →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/linlu-qiu/