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Changmao Li

Changmao Li has 2 papers in our library, in 2020–2023, most of them on Language models & pretraining, Sentiment & emotion; often with Jeffrey Flanigan, Jinho D. Choi, Xiangjue Dong.

2 papers in our library · 2020–2023

OpenAlex · h-index 15 · 63 works · 735 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 64 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #7513

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. 13 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. Task Contamination: Language Models May Not Be Few-Shot Anymore (2023 · 89 citations)
    LLMs are often credited with solving tasks from zero or only a handful of examples. That claim fails if the pre-training data already contained labelled training examples of the evaluated task. The authors call this task contamination and distinguish it from leakage of test sets. Li and Flanigan study the problem…
  2. Transformer-based Context-aware Sarcasm Detection in Conversation Threads from Social Media (2020 · 35 citations)
    Sarcasm often hides negative intent behind wording that looks positive. On social media it is further obscured by typos, slang and emojis, and a single reply judged in isolation can be ambiguous even to people. Working within the FigLang 2020 sarcasm shared task, the authors test whether feeding the surrounding…

All works

3 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. Improving Neural Machine Translation with the Abstract Meaning Representation by Combining Graph and Sequence Transformers ↗Proceedings of the 2nd Workshop on Deep Learning on Graphs for Natural Language Processing (DLG4NLP 2022) · no summary yetChangmao Li, Jeffrey Flanigan2022 · 17 citations

 Co-authors here

3 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 64 times (of the 149,439 papers whose bibliographies we read); 18 citing papers with a page here →.

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