---
title: "Who cites Tiancheng Hu — 93 papers of our library"
description: "93 papers of the Elamur Research library cite the works of Tiancheng Hu, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/tiancheng-hu/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/tiancheng-hu/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Tiancheng Hu](https://md.research.elamur.ai/free/en/authors/tiancheng-hu/) / cited by

# Who cites Tiancheng Hu

93 citations of their works from 93 papers of our library (of the 149,439 whose bibliographies we read) · 28 with a page here, the most cited first · [← Tiancheng Hu](https://md.research.elamur.ai/free/en/authors/tiancheng-hu/)

1. **[Beyond Demographics: Fine-tuning Large Language Models to Predict Individuals' Subjective Text Perceptions](https://md.research.elamur.ai/free/en/papers/orlikowski-2025-beyond-demographics-fine-tuning-large/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Matthias Orlikowski, Jiaxin Pei, Paul Röttger, et al.*2025 · 22 citations*
2. **[Conformity in Large Language Models](https://md.research.elamur.ai/free/en/papers/zhu-2025-conformity-large-language-models/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiaochen Zhu, Caiqi Zhang, Tom Stafford, et al.*2025 · 18 citations*
3. **[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*
4. **[Synthetic Socratic Debates: Examining Persona Effects on Moral Decision and Persuasion Dynamics](https://md.research.elamur.ai/free/en/papers/liu-2025-synthetic-socratic-debates-examining-persona/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jiarui Liu, Yueqi Song, Yunze Xiao, et al.*2025 · 9 citations*
5. **[Demystifying Multi-Agent Debate: The Role of Confidence and Diversity](https://md.research.elamur.ai/free/en/papers/zhu-2026-demystifying-multi-agent-debate-role/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xiaochen Zhu, Caiqi Zhang, Yizhou Chi, et al.*2026 · 6 citations*
6. **[Uncertainty Quantification in LLM Agents: Foundations, Emerging Challenges, and Opportunities](https://md.research.elamur.ai/free/en/papers/oh-2026-uncertainty-quantification-llm-agents-foundations/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Changdae Oh, Seongheon Park, To Eun Kim, et al.*2026 · 4 citations*
7. **[Confidence Should Be Calibrated More Than One Turn Deep](https://md.research.elamur.ai/free/en/papers/zhang-2026-confidence-should-be-calibrated-more/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhaohan Zhang, Chengzhengxu Li, Xiaoming Liu, et al.*2026 · 3 citations*
8. **[Persona Prompting as a Lens on LLM Social Reasoning](https://md.research.elamur.ai/free/en/papers/yang-2026-persona-prompting-as-lens-llm/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Jing Yang, Moritz Hechtbauer, Elisabeth Khalilov, et al.*2026 · 2 citations*
9. **[Quantifying the Impact of Structured Output Format on Large Language Models through Causal Inference](https://md.research.elamur.ai/free/en/papers/yuan-2026-quantifying-impact-structured-output-format/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Han Yuan, Yue Zhao, Li Zhang, et al.*2026 · 2 citations*
10. **[A Review of Incorporating Psychological Theories in LLMs](https://md.research.elamur.ai/free/en/papers/liu-2026-review-incorporating-psychological-theories-llms/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Zizhou Liu, Ziwei Gong, Lin Ai, et al.*2026 · 1 citation*
11. **[A Survey on LLM-based Conversational User Simulation](https://md.research.elamur.ai/free/en/papers/ni-2026-survey-llm-based-conversational-user/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Bo Ni, Yu Wang, Leyao Wang, et al.*2026 · 1 citation*
12. **[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*
13. **[HPLT 3.0: Very Large-Scale Multilingual Resources for LLMs and MT. Mono- and Bi-lingual Data, Multilingual Evaluation, and Pre-Trained Models](https://md.research.elamur.ai/free/en/papers/oepen-2026-hplt-3-0-very-large/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Stephan Oepen, Nikolay Arefyev, Mikko Aulamo, et al.*2026 · 1 citation*
14. **[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*
15. **[PATS: Personality-Aware Teaching Strategies with Large Language Model Tutors](https://md.research.elamur.ai/free/en/papers/rooein-2026-pats-personality-aware-teaching-strategies/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Donya Rooein, Sankalan Pal Chowdhury, Mariia Eremeeva, et al.*2026 · 1 citation*
16. **[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*
17. **[When LLMs Annotate: Reliability Challenges in Low-Resource NLI](https://md.research.elamur.ai/free/en/papers/panahi-2026-when-llms-annotate-reliability-challenges/) [Workshop on Language Models for Low-Resource Languages](https://md.research.elamur.ai/free/en/venues/loreslm/)**Solmaz Panahi, John Kelleher, Vasudevan Nedumpozhimana*2026 · 1 citation*
18. **[X-NLP at SemEval-2026 Task 12: Prompting LLMs for Abductive Event Reasoning](https://md.research.elamur.ai/free/en/papers/mattie-2026-x-nlp-semeval-2026-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Caelen Mattie, Patrick Bowen, Milton King*2026 · 1 citation*
19. **[Bi-Text Mining across German Dialects: On the Role of Synthetic Training Data for Dialect Adaptation](https://md.research.elamur.ai/free/en/papers/wang-2026-bi-text-mining-across-german/) [Workshop on Building and Using Comparable Corpora (BUCC)](https://md.research.elamur.ai/free/en/venues/bucc/)**Jing Wang, Barbara Plank, Robert Litschko*2026*
20. **[Datamart-Agent: LLM-Driven Game-Theoretic Agent for Data Marketplace Modeling](https://md.research.elamur.ai/free/en/papers/wu-2026-datamart-agent-llm-driven-game/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Pangjing Wu, Peter Q. Chen, Xiaodong Li, et al.*2026*
21. **[ExPerT: Personalizing LLM Responses to Users' Domain Expertise via Query-Wise Semantic and Keystroke Behavioral Cues](https://md.research.elamur.ai/free/en/papers/park-2026-expert-personalizing-llm-responses-users/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yeji Park, Jiwon Tark, Taesik Gong*2026*
22. **[LoVeC: Reinforcement Learning for Better Verbalized Confidence in Long-Form Generation](https://md.research.elamur.ai/free/en/papers/zhang-2026-lovec-reinforcement-learning-better-verbalized/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Caiqi Zhang, Xiaochen Zhu, Chengzu Li, et al.*2026*
23. **[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*
24. **[Persona-E\texttwosuperior: A Human-Grounded Dataset for Personality-Shaped Emotional Responses to Textual Events](https://md.research.elamur.ai/free/en/papers/yang-2026-persona-e-texttwosuperior-human-grounded/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuqin Yang, Haowu Zhou, Haoran Tu, et al.*2026*
25. **[Query-Focused Individual Simulation with Progressive Persona Completion](https://md.research.elamur.ai/free/en/papers/su-2026-query-focused-individual-simulation-progressive/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Weiwen SU, Naoki Yoshinaga, Masashi Toyoda*2026*
26. **[R.U.Psycho? A Framework for Robust Unified Psychometric Testing of Language Models](https://md.research.elamur.ai/free/en/papers/schelb-2026-r-u-psycho-framework-robust/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Julian Schelb, Orr Borin, David Garcia, et al.*2026*
27. **[Thesis Proposal: Diagnosing and Mitigating Semantic Interference in Script-Sharing Low-Resource Language Models: A Case Study on Square Bai Script](https://md.research.elamur.ai/free/en/papers/zheng-2026-thesis-proposal-diagnosing-mitigating-semantic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jingting Zheng, Deyi Xiong*2026*
28. **[UNSC-Bench: Evaluating LLM Diplomatic Role-Playing Through UN Security Council Vote Prediction](https://md.research.elamur.ai/free/en/papers/nangia-2026-unsc-bench-evaluating-llm-diplomatic/) [Workshop on Multilingual Multicultural Evaluation](https://md.research.elamur.ai/free/en/venues/mme/)**Ayush Nangia, Aman Gokrani, Ruggero Marino Lazzaroni*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/authors/tiancheng-hu/) — Tiancheng Hu