--- title: "Who cites Mengting Hu — 118 papers of our library" description: "118 papers of the Elamur Research library cite the works of Mengting Hu, found in their bibliographies; the most cited first." canonical: "https://research.elamur.ai/free/en/authors/mengting-hu/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/mengting-hu/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Mengting Hu](https://md.research.elamur.ai/free/en/authors/mengting-hu/) / cited by # Who cites Mengting Hu 121 citations of their works from 118 papers of our library (of the 149,439 whose bibliographies we read) · 17 with a page here, the most cited first · [← Mengting Hu](https://md.research.elamur.ai/free/en/authors/mengting-hu/) 1. **[Aspect Sentiment Quad Prediction as Paraphrase Generation](https://md.research.elamur.ai/free/en/papers/zhang-2021-aspect-sentiment-quad-prediction-as/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Wenxuan Zhang, Yang Deng, Xin Li, et al.*2021 · 325 citations* 2. **[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* 3. **[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* 4. **[NOVER: Incentive Training for Language Models via Verifier-Free Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/liu-2025-nover-incentive-training-language-models/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Wei Liu, Siya Qi, Xinyu Wang, et al.*2025 · 7 citations* 5. **[German Aspect-based Sentiment Analysis in the Wild: B2B Dataset Creation and Cross-Domain Evaluation](https://md.research.elamur.ai/free/en/papers/fehle-2025-german-aspect-based-sentiment-analysis/) [Conference on Natural Language Processing](https://md.research.elamur.ai/free/en/venues/konvens/)**Jakob Fehle, Niklas Donhauser, Udo Kruschwitz, et al.*2025 · 3 citations* 6. **[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* 7. **[kevinyu66 at SemEval-2026 Task 3: A Retrieval-Augmented LLM System for Aspect–Opinion Triplet Extraction](https://md.research.elamur.ai/free/en/papers/yu-2026-kevinyu66-semeval-2026-task-3/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Kuanlin Yu, Wen-Ni Liu*2026 · 1 citation* 8. **[MAESTRO: Meta-learning Adaptive Estimation of Scalarization Trade-offs for Reward Optimization](https://md.research.elamur.ai/free/en/papers/zhao-2026-maestro-meta-learning-adaptive-estimation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yang Zhao, Hepeng Wang, Xiao Ding, et al.*2026 · 1 citation* 9. **[Can Large Language Models Infer Human Actions and Motives? Evaluation in Social Prediction and Inspection Games](https://md.research.elamur.ai/free/en/papers/shrestha-2026-can-large-language-models-infer/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Kaleen Shrestha, Abhinav Gupta, Harish Dukkipati, et al.*2026* 10. **[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* 11. **[Danger Depends on the Mind: A Theory-of-Mind Grounded Dataset and Model for Context-Dependent Dangerous Speech](https://md.research.elamur.ai/free/en/papers/shi-2026-danger-depends-mind-theory-mind/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yuanchen Shi, Longyin Zhang, Guodong Zhou, et al.*2026* 12. **[GroupToM-Bench: Benchmarking Group Theory of Mind and Nonlinear Social Emergence in MLLMs](https://md.research.elamur.ai/free/en/papers/tang-2026-grouptom-bench-benchmarking-group-theory/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Weidong Tang, Jierui Li, Yueling Hou, et al.*2026* 13. **[HSS-Synth: Humanities and Social Sciences Data Synthesis for LLMs](https://md.research.elamur.ai/free/en/papers/peng-2026-hss-synth-humanities-social-sciences/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ru Peng, Tianyu Zhao, Xijun Gu, et al.*2026* 14. **[HumanLLM: Benchmarking and Improving LLM Anthropomorphism via Human Cognitive Patterns](https://md.research.elamur.ai/free/en/papers/wang-2026-humanllm-benchmarking-improving-llm-anthropomorphism/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xintao Wang, Jian Yang, Weiyuan Li, et al.*2026* 15. **[Let's Put Ourselves in Sally's Shoes: Shoes-of-Others Prefilling Improves Theory of Mind in Large Language Models](https://md.research.elamur.ai/free/en/papers/shinoda-2026-let-s-put-ourselves-sally/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Kazutoshi Shinoda, Nobukatsu Hojo, Kyosuke Nishida, et al.*2026* 16. **[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* 17. **[Tree-CoT-RT: An Explainable Multi-Path Tree-Guided Chain-of-Thought and Reinforcement Learning Framework for Aspect Sentiment Quad Prediction](https://md.research.elamur.ai/free/en/papers/zhang-2026-tree-cot-rt-explainable-multi/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hao Zhang, Jiahao Wang, Zhenke Duan, et al.*2026* 101 more citing papers of our library have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/authors/mengting-hu/) — Mengting Hu