---
title: "Who cites How FaR Are Large Language — 34 citing papers"
description: "34 papers of the Elamur Research library cite «How FaR Are Large Language Models From Agents with Theory-of-Mind?», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/zhou-2023-far-large-language-models-agents/cited-by/"
---
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# Who cites «How FaR Are Large Language Models From Agents with Theory-of-Mind?»

34 papers of our library cite it (of the 149,439 whose bibliographies we read) · 6 with a page here, the most cited first · [← back to «How FaR Are Large Language Models From Agents with Theory-of-Mind?»](https://md.research.elamur.ai/free/en/papers/zhou-2023-far-large-language-models-agents/)

1. [**Foundational Challenges in Assuring Alignment and Safety of Large Language Models arXiv:2404.09932**Usman Anwar, Abulhair Saparov, Javier Rando, et al.*2024 · 87 citations*](https://md.research.elamur.ai/free/en/papers/anwar-2024-foundational-challenges-assuring-alignment-safety/)
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. [**Rephrase and Respond: Let Large Language Models Ask Better Questions for Themselves arXiv:2311.04205**Yihe Deng, Weitong Zhang, Zixiang Chen, et al.*2023 · 62 citations*](https://md.research.elamur.ai/free/en/papers/deng-2023-rephrase-respond-let-large-language/)
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. **[Rethinking Pragmatics in Large Language Models: Towards Open-Ended Evaluation and Preference Tuning](https://md.research.elamur.ai/free/en/papers/wu-2024-rethinking-pragmatics-large-language-models/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Shengguang Wu, Shusheng Yang, Zhenglun Chen, et al.*2024 · 16 citations*
6. **[Social Welfare Function Leaderboard: On the Emergence of LLM Agents as the Welfare Dictator](https://md.research.elamur.ai/free/en/papers/shi-2026-social-welfare-function-leaderboard-emergence/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhengliang Shi, Ruotian Ma, Jen-tse Huang, et al.*2026*

28 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/zhou-2023-far-large-language-models-agents/) — How FaR Are Large Language Models From Agents with Theory-of-Mind?
