🧑‍🔬 Lindia Tjuatja

🏛️ Affiliations

🎓Carnegie Mellon UniversityPittsburgh · United States2023–2026 · 25 paperscurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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. Do LLMs Exhibit Human-like Response Biases? A Case Study in Survey Design (2024 · 140 citations)
   The paper asks whether LLMs react to changes in survey question wording the way people do. Humans show systematic response biases in surveys, so a model's sensitivity to prompt phrasing could be useful if it matched those human patterns. To test this, the authors took expert-written questions from Pew Research's…
2. What Goes Into a LM Acceptability Judgment? Rethinking the Impact of Frequency and Length (2025 · 12 citations)
   Comparing language model probabilities with human acceptability ratings requires a linking function. Raw sentence probabilities fall for longer sentences and for sentences containing rare words, while human judgments are largely unaffected by these factors. The standard linking function, SLOR, applies the same fixed…
3. Synthetic Socratic Debates: Examining Persona Effects on Moral Decision and Persuasion Dynamics (2025 · 9 citations)
   LLMs are often given personas and asked for advice on moral questions, yet earlier studies usually varied a single trait or relied on artificial dilemmas.

All works

13 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

1. Do LLMs Exhibit Human-like Response Biases? A Case Study in Survey DesignTransactions of the Association for Computational Linguistics (TACL)Lindia Tjuatja, Valerie Chen, Tongshuang Wu, et al.2024 · 140 citations
2. What Goes Into a LM Acceptability Judgment? Rethinking the Impact of Frequency and LengthConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Lindia Tjuatja, Graham Neubig, Tal Linzen, et al.2025 · 12 citations
3. SigMoreFun Submission to the SIGMORPHON Shared Task on Interlinear Glossing ↗Proceedings of the 20th SIGMORPHON workshop on Computational Research in Phonetics, Phonology, and Morphology · no summary yetTaiqi He et al.2023 · 12 citations
4. Synthetic Socratic Debates: Examining Persona Effects on Moral Decision and Persuasion DynamicsConference on Empirical Methods in Natural Language Processing (EMNLP)Jiarui Liu, Yueqi Song, Yunze Xiao, et al.2025 · 9 citations
5. GlossLM: A Massively Multilingual Corpus and Pretrained Model for Interlinear Glossed Text ↗Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing · no summary yetMichael Ginn et al.2024 · 9 citations
6. Wav2Gloss: Generating Interlinear Glossed Text from Speech ↗Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetTaiqi He et al.2024 · 9 citations
7. Not-Just-Scaling Laws: Towards a Better Understanding of the Downstream Impact of Language Model Design Decisions ↗Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing · no summary yetEmmy Liu et al.2025 · 6 citations
8. Syntax and Semantics Meet in the “Middle”: Probing the Syntax-Semantics Interface of LMs Through Agentivity ↗Proceedings of the 12th Joint Conference on Lexical and Computational Semantics (*SEM 2023) · no summary yetLindia Tjuatja et al.2023 · 6 citations
9. BehaviorBox: Automated Discovery of Fine-Grained Performance Differences Between Language Models ↗Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetLindia Tjuatja, Graham Neubig2025 · 2 citations
10. CMULAB: An Open-Source Framework for Training and Deployment of Natural Language Processing Models ↗arXiv (Cornell University) · no summary yetZaid Sheikh et al.2024 · 2 citations
11. Massively Multilingual Joint Segmentation and Glossing ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetMichael Ginn et al.2026 · 1 citation
12. PACE: A Proxy for Agentic Capability Evaluation ↗arXiv (Cornell University) · no summary yetY Song et al.2026 · 1 citation
13. What do Language Models Learn and When? The Implicit Curriculum Hypothesis ↗arXiv (Cornell University) · no summary yetEmmy Liu et al.2026

🤝 Co-authors here

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

• Graham Neubig ×2
• Jiarui Liu
• Maarten Sap
• Mona Diab
• Tal Linzen
• Tongshuang Wu
• Valerie Chen
• Yueqi Song
• Yunze Xiao

Venues

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

• Conference on Empirical Methods in Natural Language Processing (EMNLP) ×3: EMNLP 2025
• Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) ×3
• Conference of the North American Chapter of the Association for Computational Linguistics (NAACL): NAACL 2025
• Transactions of the Association for Computational Linguistics (TACL): Transactions of the Association for Computational Linguistics (TACL) 2024
• Proceedings of the 12th Joint Conference on Lexical and Computational Semantics (*SEM 2023)
• Proceedings of the 20th SIGMORPHON workshop on Computational Research in Phonetics, Phonology, and Morphology

🔗 Cited by

Papers of our library cite their works 120 times (of the 149,439 papers whose bibliographies we read); 27 citing papers with a page here →.

Updated 30 October 2026

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