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.
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
Affiliations
Fields, topics and concepts
📚 Shelves 8The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 4 worksComputer Science · 4 worksArtificial Intelligence · 4 worksLanguage and Linguistics · 4 worksSocial Sciences · 1 workPolitical Science and International Relations · 1 workSafety Research · 1 workInformation Systems · 1 work
🧭 Topics 6Research subjects and languages the work is about.Language models & pretraining · 2 worksEnglish · 3 worksEvaluation & benchmarks · 2 worksSemitic languages · 1 workSentiment & emotion · 1 workReasoning · 1 work
Works by year
2020s
Papers
- 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. - 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. - 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. - 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
- 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
- Judging the Judges: A Systematic Study of Position Bias in LLM-as-a-JudgeInternational Joint Conference on Natural Language Processing (IJCNLP)Lin Shi, Chiyu Ma, Wenhua Liang, et al.2025 · 71 citations
- 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
- EnCBP: A New Benchmark Dataset for Finer-Grained Cultural Background Prediction in EnglishFindings of the Association for Computational LinguisticsWeicheng Ma, Samiha Datta, Lili Wang, et al.2022 · 13 citations
- 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
- 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
- Dartmouth at SemEval-2022 Task 6: Detection of SarcasmInternational Workshop on Semantic Evaluation (SemEval)Rishik Lad, Weicheng Ma, Soroush Vosoughi2022 · 2 citations
- 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
- 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
Venues
- Findings of the Association for Computational Linguistics: ACL 2024 ×2
- Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) ×2
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2022
- International Joint Conference on Natural Language Processing (IJCNLP): IJCNLP 2025
- International Workshop on Semantic Evaluation (SemEval): SemEval 2022
- Proceedings of the Sixth Workshop on Noisy User-generated Text (W-NUT 2020)
Cited by
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