--- title: "Fangkai Jiao — author profile and papers — Elamur Research" description: "Fangkai Jiao, Nanyang Technological University: 4 papers on Elamur Research (2024–2025), h-index 8 — affiliations, topics, co-authors and…" canonical: "https://research.elamur.ai/free/en/authors/fangkai-jiao/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/fangkai-jiao/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Fangkai Jiao # Fangkai Jiao Fangkai Jiao has 4 papers in our library, in 2024–2025, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/); often with [Nancy Chen](https://md.research.elamur.ai/free/en/authors/nancy-chen/), [Shafiq Joty](https://md.research.elamur.ai/free/en/authors/shafiq-joty/), [Zhengyuan Liu](https://md.research.elamur.ai/free/en/authors/zhengyuan-liu/). 4 papers in our library · 2024–2025 [OpenAlex](https://openalex.org/A5045631551) · [ORCID](https://orcid.org/0000-0002-0670-6990) · [**h-index 8**](https://openalex.org/authors/A5045631551) · [34 works](https://openalex.org/works?filter=author.id:A5045631551) · [305 citations](https://openalex.org/works?filter=author.id:A5045631551&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/fangkai-jiao/#papers) · [🔗 Cited 195 times in our library](https://md.research.elamur.ai/free/en/authors/fangkai-jiao/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #7189](https://md.research.elamur.ai/free/en/paper-stars/page/72/#star-7189) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Fangkai+Jiao) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Fangkai+Jiao) · [dblp](https://dblp.org/search?q=Fangkai+Jiao) · [ACL Anthology](https://aclanthology.org/search/?q=Fangkai+Jiao) ## Affiliations [🎓**Nanyang Technological University** Singapore · Singapore 2022–2026 · 22 papers*current*](https://md.research.elamur.ai/free/en/universities/nanyang-technological-university/) · [🎓**Shandong University** Jinan · China 2020–2022 · 6 papers](https://md.research.elamur.ai/free/en/universities/shandong-university/) · [🏛️**Agency for Science, Technology and Research** Singapore · Singapore 2023–2024 · 5 papers](https://md.research.elamur.ai/free/en/government/agency-for-science-technology-and-research/) · [🔬**Institute for Infocomm Research** Singapore · Singapore 2023–2024 · 5 papers](https://md.research.elamur.ai/free/en/labs/institute-for-infocomm-research/) · [🎓**Princeton University** Princeton · United States 2023–2025 · 3 papers](https://md.research.elamur.ai/free/en/universities/princeton-university/) · [🎓**The Hong Kong University of Science and Technology (Guangzhou)** Guangzhou · China 2023–2025 · 3 papers](https://md.research.elamur.ai/free/en/universities/the-hong-kong-university-of-science-and-technology-guangzhou/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 6 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 4 Research subjects and languages the work is about.[Reasoning · 4 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Multilingual & cross-lingual NLP · 1 work](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) ## Works by year ### 2020s [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/fangkai-jiao/year/2025/) · [**2024** 3 papers](https://md.research.elamur.ai/free/en/authors/fangkai-jiao/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[SeaEval for Multilingual Foundation Models: From Cross-Lingual Alignment to Cultural Reasoning](https://md.research.elamur.ai/free/en/papers/wang-2024-seaeval-multilingual-foundation-models-cross/)** *(2024 · 85 citations)* SeaEval is a benchmark for multilingual foundation models. It addresses gaps that monolingual and bilingual test suites leave open, namely cultural comprehension and whether a model's knowledge stays the same across languages. The benchmark covers four capability areas: classic NLP tasks, complex reasoning, cultural… 2. **[Learning Planning-based Reasoning by Trajectories Collection and Process Reward Synthesizing](https://md.research.elamur.ai/free/en/papers/jiao-2024-learning-planning-based-reasoning-trajectories/)** *(2024 · 31 citations)* Planning-style reasoning with LLMs, such as reasoning-as-planning with MCTS, makes rationales more reliable but is slow at inference because every intermediate state must be scored during search. 3. **[Preference Optimization for Reasoning with Pseudo Feedback](https://md.research.elamur.ai/free/en/papers/jiao-2024-preference-optimization-reasoning-pseudo-feedback/)** *(2024 · 15 citations)* Preference learning methods such as DPO and PPO help LLMs reason better in math and coding. However, they need reliable labels to separate good solutions from bad ones, and expert-verified reasoning data is scarce and costly to scale. The authors propose PFPO (Pseudo-Feedback Preference Optimization), which treats… 4. **[Can We Further Elicit Reasoning in LLMs? Critic-Guided Planning with Retrieval-Augmentation for Solving Challenging Tasks](https://md.research.elamur.ai/free/en/papers/li-2025-can-we-further-elicit-reasoning/)** *(2025 · 13 citations)* LLMs that combine chain-of-thought with retrieval-augmented generation often fail on hard, knowledge-heavy problems such as competitive programming. ## All works 6 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them. 1. **[Retrieving Multimodal Information for Augmented Generation: A Survey ↗](https://aclanthology.org/2023.findings-emnlp.314/) Findings of the Association for Computational Linguistics: EMNLP 2023 · no summary yet**Ruochen Zhao et al.*2023 · 96 citations* 2. **[SeaEval for Multilingual Foundation Models: From Cross-Lingual Alignment to Cultural Reasoning](https://md.research.elamur.ai/free/en/papers/wang-2024-seaeval-multilingual-foundation-models-cross/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Bin Wang, Zhengyuan Liu, Xin Huang, et al.*2024 · 85 citations* 3. **[A Survey of Frontiers in LLM Reasoning: Inference Scaling, Learning to Reason, and Agentic Systems ↗](https://arxiv.org/abs/2504.09037) arXiv:2504.09037 · no summary yet**Zixuan Ke et al.*2025 · 39 citations* 4. **[Learning Planning-based Reasoning by Trajectories Collection and Process Reward Synthesizing](https://md.research.elamur.ai/free/en/papers/jiao-2024-learning-planning-based-reasoning-trajectories/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Fangkai Jiao, Chengwei Qin, Zhengyuan Liu, et al.*2024 · 31 citations* 5. [**Preference Optimization for Reasoning with Pseudo Feedback arXiv:2411.16345**Fangkai Jiao, Geyang Guo, Xingxing Zhang, et al.*2024 · 15 citations*](https://md.research.elamur.ai/free/en/papers/jiao-2024-preference-optimization-reasoning-pseudo-feedback/) 6. **[Can We Further Elicit Reasoning in LLMs? Critic-Guided Planning with Retrieval-Augmentation for Solving Challenging Tasks](https://md.research.elamur.ai/free/en/papers/li-2025-can-we-further-elicit-reasoning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xingxuan Li, Weiwen Xu, Ruochen Zhao, et al.*2025 · 13 citations* ## Co-authors here 12 of 14 co-authors with a page, the most papers together first. - [Nancy Chen](https://md.research.elamur.ai/free/en/authors/nancy-chen/) ×3 - [Shafiq Joty](https://md.research.elamur.ai/free/en/authors/shafiq-joty/) ×3 - [Zhengyuan Liu](https://md.research.elamur.ai/free/en/authors/zhengyuan-liu/) ×2 - [AiTi Aw](https://md.research.elamur.ai/free/en/authors/aiti-aw/) - [Bin Wang](https://md.research.elamur.ai/free/en/authors/bin-wang/) - [Chengwei Qin](https://md.research.elamur.ai/free/en/authors/chengwei-qin/) - [Furu Wei](https://md.research.elamur.ai/free/en/authors/furu-wei/) - [Lidong Bing](https://md.research.elamur.ai/free/en/authors/lidong-bing/) - [Ruochen Zhao](https://md.research.elamur.ai/free/en/authors/ruochen-zhao/) - [Weiwen Xu](https://md.research.elamur.ai/free/en/authors/weiwen-xu/) - [Xin Huang](https://md.research.elamur.ai/free/en/authors/xin-huang/) - [Xingxing Zhang](https://md.research.elamur.ai/free/en/authors/xingxing-zhang/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2024](https://md.research.elamur.ai/free/en/venues/emnlp/2024/) - [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/): [NAACL 2024](https://md.research.elamur.ai/free/en/venues/naacl/2024/) - Findings of the Association for Computational Linguistics: EMNLP 2023 ## Cited by Papers of our library cite their works 195 times (of the 149,439 papers whose bibliographies we read); [52 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/fangkai-jiao/cited-by/). Updated 30 October 2026