---
title: "Who cites Jiaxin Pei — 134 papers of our library"
description: "134 papers of the Elamur Research library cite the works of Jiaxin Pei, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/jiaxin-pei/cited-by/"
---
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# Who cites Jiaxin Pei

137 citations of their works from 134 papers of our library (of the 149,439 whose bibliographies we read) · 29 with a page here, the most cited first · [← Jiaxin Pei](https://md.research.elamur.ai/free/en/authors/jiaxin-pei/)

1. [**MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback arXiv:2309.10691**Xingyao Wang, Zihan Wang, Jiateng Liu, et al.*2023 · 141 citations*](https://md.research.elamur.ai/free/en/papers/wang-2023-mint-evaluating-llms-multi-turn/)
2. **[POTATO: The Portable Text Annotation Tool](https://md.research.elamur.ai/free/en/papers/pei-2022-potato-portable-text-annotation-tool/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jiaxin Pei, Aparna Ananthasubramaniam, Xingyao Wang, et al.*2022 · 90 citations*
3. **[Evaluation Metrics in the Era of GPT-4: Reliably Evaluating Large Language Models on Sequence to Sequence Tasks](https://md.research.elamur.ai/free/en/papers/sottana-2023-evaluation-metrics-era-gpt-4/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Andrea Sottana, Bin Liang, Kai Zou, et al.*2023 · 89 citations*
4. **[POLAR: A Benchmark for Multilingual, Multicultural, and Multi-Event Online Polarization](https://md.research.elamur.ai/free/en/papers/naseem-2026-polar-benchmark-multilingual-multicultural-multi/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Usman Naseem, Robert Geislinger, Juan Ren, et al.*2026 · 61 citations*
5. **[Evaluating the Capabilities of Large Language Models for Multi-label Emotion Understanding](https://md.research.elamur.ai/free/en/papers/belay-2025-evaluating-capabilities-large-language-models/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Tadesse Destaw Belay, Israel Abebe Azime, Abinew Ali Ayele, et al.*2025 · 52 citations*
6. [**An Emulator for Fine-Tuning Large Language Models using Small Language Models arXiv:2310.12962**Eric Mitchell, Rafael Rafailov, Archit Sharma, et al.*2023 · 36 citations*](https://md.research.elamur.ai/free/en/papers/mitchell-2023-emulator-fine-tuning-large-language/)
7. **[Value Profiles for Encoding Human Variation](https://md.research.elamur.ai/free/en/papers/sorensen-2025-value-profiles-encoding-human-variation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Taylor Sorensen, Pushkar Mishra, Roma Patel, et al.*2025 · 15 citations*
8. **[A Reality Check on Context Utilisation for Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/hagstrom-2025-reality-check-context-utilisation-retrieval/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Lovisa Hagström, Sara Vera Marjanovic, Haeun Yu, et al.*2025 · 13 citations*
9. **[Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas](https://md.research.elamur.ai/free/en/papers/balepur-2025-whose-boat-does-it-float/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Nishant Balepur, Vishakh Padmakumar, Fumeng Yang, et al.*2025 · 12 citations*
10. **[WildFeedback: Aligning LLMs With In-situ User Interactions And Feedback](https://md.research.elamur.ai/free/en/papers/shi-2026-wildfeedback-aligning-llms-situ-user/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Taiwei Shi, Zhuoer Wang, Longqi Yang, et al.*2026 · 9 citations*
11. [**Disparities in LLM Reasoning Accuracy and Explanations: A Case Study on African American English arXiv:2503.04099**Runtao Zhou, Guangya Wan, Saadia Gabriel, et al.*2025 · 6 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2025-disparities-llm-reasoning-accuracy-explanations/)
12. **[Gender Bias Evaluation in Machine Translation for Amharic, Tigrigna, and Afaan Oromoo](https://md.research.elamur.ai/free/en/papers/sewunetie-2024-gender-bias-evaluation-machine-translation/) [Workshop on Gender-Inclusive Translation Technologies](https://md.research.elamur.ai/free/en/venues/gitt/)**Walelign Sewunetie, Atnafu Tonja, Tadesse Belay, et al.*2024 · 5 citations*
13. **[NovBench: Evaluating Large Language Models on Academic Paper Novelty Assessment](https://md.research.elamur.ai/free/en/papers/wu-2026-novbench-evaluating-large-language-models/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Wenqing Wu, Yi Zhao, Yuzhuo Wang, et al.*2026 · 4 citations*
14. **[Spotlight Your Instructions: Instruction-following with Dynamic Attention Steering](https://md.research.elamur.ai/free/en/papers/venkateswaran-2026-spotlight-your-instructions-instruction-following/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Praveen Venkateswaran, Danish Contractor*2026 · 4 citations*
15. **[German General Social Survey Personas: A Survey-Derived Persona Prompt Collection for Population-Aligned LLM Studies](https://md.research.elamur.ai/free/en/papers/rupprecht-2026-german-general-social-survey-personas/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Jens Rupprecht, Leon Froehling, Claudia Wagner, et al.*2026 · 1 citation*
16. **[In Generative AI We (Dis)Trust? Computational Analysis of Trust and Distrust in Reddit Discussions](https://md.research.elamur.ai/free/en/papers/pessianzadeh-2026-generative-ai-we-dis-trust/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Aria Pessianzadeh, Naima Sultana, Hildegarde Van den Bulck, et al.*2026 · 1 citation*
17. **[Modeling Annotator Disagreement with Demographic-Aware Experts and Synthetic Perspectives](https://md.research.elamur.ai/free/en/papers/xu-2026-modeling-annotator-disagreement-demographic-aware/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yinuo Xu, Veronica Derricks, Allison Earl, et al.*2026 · 1 citation*
18. **[Reassessing Active Learning Adoption in Contemporary NLP: A Community Survey](https://md.research.elamur.ai/free/en/papers/romberg-2026-reassessing-active-learning-adoption-contemporary/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Julia Romberg, Christopher Schröder, Julius Gonsior, et al.*2026 · 1 citation*
19. **[RECAP: Transparent Inference-Time Emotion Alignment for Medical Dialogue Systems](https://md.research.elamur.ai/free/en/papers/srinivasan-2026-recap-transparent-inference-time-emotion/) [Workshop on Clinical Natural Language Processing (Clinical NLP) @ LREC](https://md.research.elamur.ai/free/en/venues/clinicalnlp/)**Adarsh Srinivasan, Jacob Dineen, Muhammad Uzair Sarfraz, et al.*2026 · 1 citation*
20. **[Social Story Frames: Contextual Reasoning about Narrative Intent and Reception](https://md.research.elamur.ai/free/en/papers/mire-2026-social-story-frames-contextual-reasoning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Joel Mire, Maria Antoniak, Steven R Wilson, et al.*2026 · 1 citation*
21. **[BNLP: A Text Annotation Platform for Quality Control of LLM-Generated Annotations](https://md.research.elamur.ai/free/en/papers/zhuang-2026-bnlp-text-annotation-platform-quality/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xinhao Zhuang, Qiongyu Tian, Yalin Chen, et al.*2026*
22. **[DIDECO: An Annotated Dataset for Intent Detection in Digital Communications](https://md.research.elamur.ai/free/en/papers/popovic-2026-dideco-annotated-dataset-intent-detection/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Senaid Popovic, Damien Riquet, Maxime Meyer, et al.*2026*
23. **[Fine-Grained Perspectives: Modeling Explanations with Annotator-Specific Rationales](https://md.research.elamur.ai/free/en/papers/sarumi-2026-fine-grained-perspectives-modeling-explanations/) [edition of NLPerspectives](https://md.research.elamur.ai/free/en/venues/nlperspectives/)**Olufunke O. Sarumi, Charles Welch, Daniel Braun*2026*
24. **[JPPB: Automatic Construction of a Soft-Labeled Japanese Patient Phrase Bank for Symptom Normalization](https://md.research.elamur.ai/free/en/papers/nishiyama-2026-jppb-automatic-construction-soft-labeled/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Tomohiro Nishiyama, Mana Kuramoto, Shoko Wakamiya, et al.*2026*
25. **[Learning Moral Diversity: Modelling Individual Perspectives in Moral Classification of Texts](https://md.research.elamur.ai/free/en/papers/ren-2026-learning-moral-diversity-modelling-individual/) [Workshop on Natural Language Processing and Computational Social Science](https://md.research.elamur.ai/free/en/venues/nlpcss/)**Yi Ren, Lewis Mitchell, Matthew Roughan*2026*
26. **[Persona-Aware Evaluation of Cognitive Bias in LLMs: From Benchmark to Applied Decision-Making](https://md.research.elamur.ai/free/en/papers/yoshikawa-2026-persona-aware-evaluation-cognitive-bias/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Katsumasa Yoshikawa, Junya Takayama, Takato Yamazaki*2026*
27. **[Show or Tell? Modeling the evolution of request-making in Human-LLM conversations](https://md.research.elamur.ai/free/en/papers/zhu-2026-show-or-tell-modeling-evolution/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shengqi Zhu, Jeffrey Rzeszotarski, David Mimno*2026*
28. **[ToMELP: A Theory-of-Mind Benchmark for Route-Controlled Persuasion under the Elaboration Likelihood Model](https://md.research.elamur.ai/free/en/papers/wang-2026-tomelp-theory-mind-benchmark-route/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ruirui Wang, Haoran Zhang, Tian Lan, et al.*2026*
29. **[What Are LLMs Doing to Scientific Communication? Measuring Changes in Writing Practices and Reading Experience](https://md.research.elamur.ai/free/en/papers/miletic-2026-what-are-llms-doing-scientific/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Filip Miletić, Neele Falk*2026*

105 more citing papers of our library have no page here yet.

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