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Yanshu Li

Yanshu Li has 3 papers in our library, in 2025–2026, most of them on Language models & pretraining, Sentiment & emotion, Multilingual & cross-lingual NLP; often with Barbara Plank, Bolei Ma, Chen Liu.

3 papers in our library · 2025–2026

OpenAlex · ORCID · h-index 23 · 112 works · 1,518 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 29 times in our library · ⭐ Paper Stars ranking: #9137

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

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 15 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. TACO: Enhancing Multimodal In-context Learning via Task Mapping-Guided Sequence Configuration (2025 · 22 citations)
    Large vision–language models (LVLMs) can learn tasks from interleaved image–text demonstrations, but their in-context learning (ICL) is fragile. Small changes to the chosen demonstrations (ICDs) can noticeably shift outputs, and existing selection methods rely on hand-crafted relevance metrics.
  2. M-ABSA: A Multilingual Dataset for Aspect-Based Sentiment Analysis (2025 · 21 citations)
    Research on aspect-based sentiment analysis (ABSA) relies mostly on English data. Earlier multilingual resources either use different content per language or cover only a few languages without aspect categories, which makes controlled cross-lingual comparison hard. The authors built M-ABSA, a parallel dataset for…
  3. Not All Directions Matter: Towards Structured and Task-Aware Low-Rank Model Adaptation (2026 · 3 citations)
    The paper argues that LoRA has two weaknesses. First, it spends its small rank budget equally on every low-rank direction, even though many directions carry noise; the authors call this semantic drift. Second, it tunes each layer in isolation, so updates in neighbouring layers can point in unrelated directions; they…

 Co-authors here

12 of 16 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 29 times (of the 149,439 papers whose bibliographies we read); 9 citing papers with a page here →.

Updated

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