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Weicheng Ma

Weicheng Ma has 4 papers in our library, in 2022–2025, most of them on English, Language models & pretraining, Evaluation & benchmarks; often with Soroush Vosoughi, Chiyu Ma, Lili Wang.

4 papers in our library · 2022–2025

OpenAlex · ORCID · Wikidata · h-index 9 · 60 works · 327 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 107 times in our library · 5 more in our library without a page yet · ⭐ Paper Stars ranking: #7021

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. 1 more institution 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. Judging the Judges: A Systematic Study of Position Bias in LLM-as-a-Judge (2025 · 71 citations)
    LLM judges are widely used as a cheaper substitute for human evaluators, but they often favour an answer because of where it sits in the prompt rather than because of what it says.
  2. EnCBP: A New Benchmark Dataset for Finer-Grained Cultural Background Prediction in English (2022 · 13 citations)
    Most NLP work on culture treats it at a coarse level, grouping people by shared official language or by broad "Western/Eastern" splits.
  3. Dartmouth at SemEval-2022 Task 6: Detection of Sarcasm (2022 · 2 citations)
    The paper describes Team Dartmouth's entry to SemEval-2022 Task 6 (iSarcasmEval), which asks systems to recognise sarcasm in English and Arabic tweets across five subtasks.
  4. From Test-taking to Cognitive Scaffolding: A Pedagogical Diagnostic Benchmark for LLMs on English Standardized Tests (2025 · 1 citation)
    Benchmarks that test LLMs on standardized English exams usually check only whether the final answer is right.

All works

9 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them.

  1. Data Boost: Text Data Augmentation Through Reinforcement Learning Guided Conditional Generation ↗Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yetRuibo Liu et al.2020 · 103 citations
  2. Deciphering Stereotypes in Pre-Trained Language Models ↗Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yetWeicheng Ma et al.2023 · 17 citations
  3. An Empirical Survey of Unsupervised Text Representation Methods on Twitter Data ↗Proceedings of the Sixth Workshop on Noisy User-generated Text (W-NUT 2020) · no summary yetLili Wang et al.2020 · 13 citations
  4. Simulated Misinformation Susceptibility (SMISTS): Enhancing Misinformation Research with Large Language Model Simulations ↗Findings of the Association for Computational Linguistics: ACL 2024 · no summary yetWeicheng Ma et al.2024 · 9 citations
  5. From Test-taking to Cognitive Scaffolding: A Pedagogical Diagnostic Benchmark for LLMs on English Standardized TestsarXiv:2505.17056Luoxi Tang, Tharunya Sundar, Yuqiao Meng, et al.2025 · 1 citation
  6. When Debiasing Backfires: Counterintuitive Side Effects of Preprocessing-Based Stereotype Mitigation ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetYahan Zheng et al.2026

 Co-authors here

6 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 107 times (of the 149,439 papers whose bibliographies we read); 19 citing papers with a page here →.

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