--- title: "Juntao Dai · Peking University — author profile and papers" description: "Juntao Dai, Peking University: 4 papers on Elamur Research (2023–2026), h-index 0 — affiliations, topics, co-authors and who cites them in…" canonical: "https://research.elamur.ai/free/en/authors/juntao-dai/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/juntao-dai/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Juntao Dai # Juntao Dai Juntao Dai has 4 papers in our library, in 2023–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/); often with [Jiaming Ji](https://md.research.elamur.ai/free/en/authors/jiaming-ji/), [Yaodong Yang](https://md.research.elamur.ai/free/en/authors/yaodong-yang/), [Sirui Han](https://md.research.elamur.ai/free/en/authors/sirui-han/). 4 papers in our library · 2023–2026 [OpenAlex](https://openalex.org/A5139842841) · [**h-index 0**](https://openalex.org/authors/A5139842841) · [5 works](https://openalex.org/works?filter=author.id:A5139842841) · [0 citations](https://openalex.org/works?filter=author.id:A5139842841&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/juntao-dai/#papers) · [🔗 Cited 298 times in our library](https://md.research.elamur.ai/free/en/authors/juntao-dai/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #4525](https://md.research.elamur.ai/free/en/paper-stars/page/46/#star-4525) 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=Juntao+Dai) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Juntao+Dai) · [dblp](https://dblp.org/search?q=Juntao+Dai) · [ACL Anthology](https://aclanthology.org/search/?q=Juntao+Dai) ## Affiliations [🎓**Peking University** Beijing · China 2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/peking-university/) · [🔬**Beijing Academy of Artificial Intelligence** Beijing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/labs/beijing-academy-of-artificial-intelligence/) 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 9 The field of science this work belongs to (OpenAlex fields).[Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Social Sciences · 2 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Safety Research · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Sociology and Political Science · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/sociology-and-political-science/) · [Hardware and Architecture · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/hardware-and-architecture/) 🧭 Topics 5 Research subjects and languages the work is about.[Bias, fairness & safety · 2 works](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Vision & language · 2 works](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) ## Works by year ### 2020s [**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/juntao-dai/year/2026/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/juntao-dai/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[BeaverTails: Towards Improved Safety Alignment of LLM via a Human-Preference Dataset](https://md.research.elamur.ai/free/en/papers/ji-2023-beavertails-towards-improved-safety-alignment/)** *(2023 · 362 citations)* Aligning LLMs for safety depends on large amounts of human feedback. Existing preference data usually merge helpfulness and harmlessness into a single judgement. BeaverTails, from the PKU-Beaver group at Peking University (NeurIPS 2023 Datasets and Benchmarks track), addresses this with a question-answering dataset… 2. **[Perception, Understanding and Reasoning: A Multimodal Benchmark for Video Fake News Detection](https://md.research.elamur.ai/free/en/papers/yakun-2026-perception-understanding-reasoning-multimodal-benchmark/)** *(2026 · 3 citations)* Most benchmarks for video fake news detection (VFND) score only the final real/fake label. They cannot show whether a multimodal large language model (MLLM) actually saw the right evidence, understood the story, or reasoned soundly. The authors address this with POVFNDB, a process-oriented benchmark. It is built on… 3. **[SafeMT: Multi-turn Safety for Multimodal Language Models](https://md.research.elamur.ai/free/en/papers/zhu-2026-safemt-multi-turn-safety-multimodal/)** *(2026 · 3 citations)* SafeMT targets a gap in the safety evaluation of multimodal large language models (MLLMs). Existing benchmarks mostly test single image-plus-prompt inputs, but real users talk to these models over many turns, and harmful intent can be spread across a conversation. The authors combined red-team queries from earlier… 4. **[SafeMCP: Proactive Power Regulation for LLM Agent Defense via Environment-Grounded Look-Ahead Reasoning](https://md.research.elamur.ai/free/en/papers/wang-2026-safemcp-proactive-power-regulation-llm/)** *(2026)* When LLM agents use the Model Context Protocol (MCP), they can acquire new tools automatically. This widens their action space and encourages power-seeking: the agent moves toward privileged states, such as admin access or a disabled firewall, where one error or hallucination can become catastrophic. Current… ## All works 5 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. **[BeaverTails: Towards Improved Safety Alignment of LLM via a Human-Preference Dataset](https://md.research.elamur.ai/free/en/papers/ji-2023-beavertails-towards-improved-safety-alignment/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Jiaming Ji, Mickel Liu, Juntao Dai, et al.*2023 · 362 citations* 2. **[Perception, Understanding and Reasoning: A Multimodal Benchmark for Video Fake News Detection](https://md.research.elamur.ai/free/en/papers/yakun-2026-perception-understanding-reasoning-multimodal-benchmark/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Cui Yakun, Peng Qi, Fushuo Huo, et al.*2026 · 3 citations* 3. **[SafeMT: Multi-turn Safety for Multimodal Language Models](https://md.research.elamur.ai/free/en/papers/zhu-2026-safemt-multi-turn-safety-multimodal/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Han Zhu, Juntao Dai, Jiaming Ji, et al.*2026 · 3 citations* 4. **[SafeMCP: Proactive Power Regulation for LLM Agent Defense via Environment-Grounded Look-Ahead Reasoning](https://md.research.elamur.ai/free/en/papers/wang-2026-safemcp-proactive-power-regulation-llm/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Lichao Wang, ZhaoXing Ren, Tianzhuo Yang, et al.*2026* 5. **[A Game-Theoretic Negotiation Framework for Cross-Cultural Consensus ↗](https://aclanthology.org/2026.acl-long.49/) Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Guoxi Zhang et al.*2026* ## Co-authors here 12 of 19 co-authors with a page, the most papers together first. - [Jiaming Ji](https://md.research.elamur.ai/free/en/authors/jiaming-ji/) ×3 - [Yaodong Yang](https://md.research.elamur.ai/free/en/authors/yaodong-yang/) ×3 - [Sirui Han](https://md.research.elamur.ai/free/en/authors/sirui-han/) ×2 - [Boyuan Chen](https://md.research.elamur.ai/free/en/authors/boyuan-chen/) - [Ce Bian](https://md.research.elamur.ai/free/en/authors/ce-bian/) - [Chengkun Cai](https://md.research.elamur.ai/free/en/authors/chengkun-cai/) - [Chi-Min Chan](https://md.research.elamur.ai/free/en/authors/chi-min-chan/) - [Chi Zhang](https://md.research.elamur.ai/free/en/authors/chi-zhang/) - [Cui Yakun](https://md.research.elamur.ai/free/en/authors/cui-yakun/) - [Han Zhu](https://md.research.elamur.ai/free/en/authors/han-zhu/) - [Haoran Li](https://md.research.elamur.ai/free/en/authors/haoran-li/) - [Mickel Liu](https://md.research.elamur.ai/free/en/authors/mickel-liu/) ## 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/) ×4: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×3 - [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2023](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2023/) ## Cited by Papers of our library cite their works 298 times (of the 149,439 papers whose bibliographies we read); [84 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/juntao-dai/cited-by/). Updated 1 November 2026