--- title: "Who cites Think Twice: Perspective-Taking — 33 citing papers" description: "33 papers of the Elamur Research library cite «Think Twice: Perspective-Taking Improves Large Language Models' Theory-of-Mind…" canonical: "https://research.elamur.ai/free/en/papers/wilf-2024-think-twice-perspective-taking-improves/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/wilf-2024-think-twice-perspective-taking-improves/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Think Twice: Perspective-Taking Improves Large…](https://md.research.elamur.ai/free/en/papers/wilf-2024-think-twice-perspective-taking-improves/) / cited by # Who cites «Think Twice: Perspective-Taking Improves Large Language Models' Theory-of-Mind Capabilities» 33 papers of our library cite it (of the 149,439 whose bibliographies we read) · 11 with a page here, the most cited first · [← back to «Think Twice: Perspective-Taking Improves Large Language Models' Theory-of-Mind Capabilities»](https://md.research.elamur.ai/free/en/papers/wilf-2024-think-twice-perspective-taking-improves/) 1. [**The Prompt Report: A Systematic Survey of Prompt Engineering Techniques arXiv:2406.06608**Sander Schulhoff, Michael Ilie, Nishant Balepur, et al.*2024 · 189 citations*](https://md.research.elamur.ai/free/en/papers/schulhoff-2024-prompt-report-systematic-survey-prompt/) 2. **[ToMBench: Benchmarking Theory of Mind in Large Language Models](https://md.research.elamur.ai/free/en/papers/chen-2024-tombench-benchmarking-theory-mind-large/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhuang Chen, Jincenzi Wu, Jinfeng Zhou, et al.*2024 · 62 citations* 3. **[MMToM-QA: Multimodal Theory of Mind Question Answering](https://md.research.elamur.ai/free/en/papers/jin-2024-mmtom-qa-multimodal-theory-mind/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chuanyang Jin, Yutong Wu, Jing Cao, et al.*2024 · 44 citations* 4. **[Theory of Mind in Large Language Models: Assessment and Enhancement](https://md.research.elamur.ai/free/en/papers/chen-2025-theory-mind-large-language-models/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ruirui Chen, Weifeng Jiang, Chengwei Qin, et al.*2025 · 16 citations* 5. **[Decompose-ToM: Enhancing Theory of Mind Reasoning in Large Language Models through Simulation and Task Decomposition](https://md.research.elamur.ai/free/en/papers/sarangi-2025-decompose-tom-enhancing-theory-mind/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Sneheel Sarangi, Maha Elgarf, Hanan Salam*2025 · 10 citations* 6. **[Pragmatic Inference Chain (PIC) Improving LLMs' Reasoning of Authentic Implicit Toxic Language](https://md.research.elamur.ai/free/en/papers/chen-2025-pragmatic-inference-chain-pic-improving/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Xi Chen, Shuo Wang*2025 · 9 citations* 7. **[Towards Dynamic Theory of Mind: Evaluating LLM Adaptation to Temporal Evolution of Human States](https://md.research.elamur.ai/free/en/papers/xiao-2025-dynamic-theory-mind-evaluating-llm/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yang Xiao, Jiashuo Wang, Qiancheng Xu, et al.*2025 · 8 citations* 8. **[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* 9. **[Can Small LLMs Learn a Robust Theory of Mind via RLVR? Investigating Generalization through the False-Belief Task](https://md.research.elamur.ai/free/en/papers/sarangi-2026-can-small-llms-learn-robust/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Sneheel Sarangi, Hanan Salam*2026* 10. [**Flout at Your Own Risk: LLMs Struggle with Pragmatic Cooperativity Under Epistemic Asymmetry arXiv:2607.11053**Hannah VanderHoeven, Abhijnan Nath, Nikhil Krishnaswamy*2026*](https://md.research.elamur.ai/free/en/papers/vanderhoeven-2026-flout-own-risk-llms-struggle/) 11. [**Towards an Analysis of Discourse and Interactional Pragmatic Reasoning Capabilities of Large Language Models arXiv:2408.03074**Amelie Robrecht, Judith Sieker, Clara Lachenmaier, et al.*2024*](https://md.research.elamur.ai/free/en/papers/robrecht-2024-towards-analysis-discourse-interactional-pragmatic/) 22 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/wilf-2024-think-twice-perspective-taking-improves/) — Think Twice: Perspective-Taking Improves Large Language Models' Theory-of-Mind Capabilities