--- title: "Long Bai — author profile and papers — Elamur Research" description: "Long Bai, Chinese Academy of Sciences: 5 papers on Elamur Research (2021–2026), h-index 16 — affiliations, topics, co-authors and who…" canonical: "https://research.elamur.ai/free/en/authors/long-bai/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/long-bai/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Long Bai # Long Bai Long Bai has 5 papers in our library, in 2021–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Information extraction](https://md.research.elamur.ai/free/en/topics/information-extraction/), [Dialogue systems](https://md.research.elamur.ai/free/en/topics/dialogue-systems/); often with [Zixuan Li](https://md.research.elamur.ai/free/en/authors/zixuan-li/), [Jiafeng Guo](https://md.research.elamur.ai/free/en/authors/jiafeng-guo/), [Xiaolong Jin](https://md.research.elamur.ai/free/en/authors/xiaolong-jin/). 5 papers in our library · 2021–2026 [OpenAlex](https://openalex.org/A5101434323) · [ORCID](https://orcid.org/0000-0003-2671-3298) · [Wikidata](https://www.wikidata.org/wiki/Q131016621) · [**h-index 16**](https://openalex.org/authors/A5101434323) · [62 works](https://openalex.org/works?filter=author.id:A5101434323) · [670 citations](https://openalex.org/works?filter=author.id:A5101434323&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 5 works in our library](https://md.research.elamur.ai/free/en/authors/long-bai/#papers) · [🔗 Cited 64 times in our library](https://md.research.elamur.ai/free/en/authors/long-bai/cited-by/) · [⭐ Paper Stars ranking: #6539](https://md.research.elamur.ai/free/en/paper-stars/page/66/#star-6539) 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=Long+Bai) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Long+Bai) · [dblp](https://dblp.org/search?q=Long+Bai) · [ACL Anthology](https://aclanthology.org/search/?q=Long+Bai) ## Affiliations [🏛️**Chinese Academy of Sciences** Beijing · China 2020–2026 · 24 papers*current*](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🔬**Institute of Computing Technology** Beijing · China 2020–2026 · 23 papers*current*](https://md.research.elamur.ai/free/en/labs/institute-of-computing-technology/) · [🎓**Chinese University of Hong Kong** Hong Kong · China 2023–2025 · 27 papers](https://md.research.elamur.ai/free/en/universities/chinese-university-of-hong-kong/) · [🎓**University of Chinese Academy of Sciences** Beijing · China 2020–2025 · 15 papers](https://md.research.elamur.ai/free/en/universities/university-of-chinese-academy-of-sciences/) · [🎓**City University of Hong Kong, Shenzhen Research Institute** Shenzhen · China 2024–2025 · 3 papers](https://md.research.elamur.ai/free/en/universities/city-university-of-hong-kong-shenzhen-research-institute/) · [🎓**University of Science and Technology of China** Hefei · China 2009–2017 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-science-and-technology-of-china/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Computer Science · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [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/) 🧭 Topics 3 Research subjects and languages the work is about.[Language models & pretraining · 3 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Information extraction · 2 works](https://md.research.elamur.ai/free/en/topics/information-extraction/) · [Dialogue systems · 1 work](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/long-bai/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/long-bai/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/long-bai/year/2024/) · [**2021** 1 paper](https://md.research.elamur.ai/free/en/authors/long-bai/year/2021/) ## Papers The most cited first (OpenAlex and our library). 1. **[KnowCoder: Coding Structured Knowledge into LLMs for Universal Information Extraction](https://md.research.elamur.ai/free/en/papers/li-2024-knowcoder-coding-structured-knowledge-into/)** *(2024 · 68 citations)* Universal Information Extraction (UIE) uses one model to pull entities, relations and events under many different schemas. 2. **[Integrating Deep Event-Level and Script-Level Information for Script Event Prediction](https://md.research.elamur.ai/free/en/papers/bai-2021-integrating-deep-event-level-script/)** *(2021 · 36 citations)* The paper addresses script event prediction. Given a chain of events that have already occurred, the model must choose the next event from several candidates. The authors point out two shortcomings of earlier approaches. First, an event was usually reduced to a verb and the head words of its participants, so other… 3. **[Large Language Model-Based Event Relation Extraction with Rationales](https://md.research.elamur.ai/free/en/papers/hu-2025-large-language-model-based-event/)** *(2025 · 13 citations)* The paper addresses document-level Event Relation Extraction (ERE), which covers temporal, causal, subevent and coreference links, using fine-tuned LLMs. 4. **[Beyond Dialogue Time: Temporal Semantic Memory for Personalized LLM Agents](https://md.research.elamur.ai/free/en/papers/su-2026-beyond-dialogue-time-temporal-semantic/)** *(2026 · 2 citations)* Memory modules let LLM agents personalize answers across long, multi-session conversations, but current systems handle time poorly. 5. **[Maximizing Local Entropy Where It Matters: Prefix-Aware Localized LLM Unlearning](https://md.research.elamur.ai/free/en/papers/zhai-2026-maximizing-local-entropy-where-it/)** *(2026 · 2 citations)* Unlearning methods for LLMs aim to erase private or copyrighted knowledge without retraining. Most of them, such as GA and NPO, push down likelihoods over every token of a response and across the whole vocabulary. This wastes compute and harms general ability. The authors propose PALU (Prefix-Aware Localized… ## Co-authors here 12 of 19 co-authors with a page, the most papers together first. - [Zixuan Li](https://md.research.elamur.ai/free/en/authors/zixuan-li/) ×4 - [Jiafeng Guo](https://md.research.elamur.ai/free/en/authors/jiafeng-guo/) ×3 - [Xiaolong Jin](https://md.research.elamur.ai/free/en/authors/xiaolong-jin/) ×3 - [Xueqi Cheng](https://md.research.elamur.ai/free/en/authors/xueqi-cheng/) ×3 - [Miao Su](https://md.research.elamur.ai/free/en/authors/miao-su/) ×2 - [Yucan Guo](https://md.research.elamur.ai/free/en/authors/yucan-guo/) ×2 - [Zhilei Hu](https://md.research.elamur.ai/free/en/authors/zhilei-hu/) ×2 - [Binbin Zheng](https://md.research.elamur.ai/free/en/authors/binbin-zheng/) - [Guojun Yin](https://md.research.elamur.ai/free/en/authors/guojun-yin/) - [Saiping Guan](https://md.research.elamur.ai/free/en/authors/saiping-guan/) - [Wei Li](https://md.research.elamur.ai/free/en/authors/wei-li/) - [Wei Lin](https://md.research.elamur.ai/free/en/authors/wei-lin/) ## 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/) ×2: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/), [ACL 2024](https://md.research.elamur.ai/free/en/venues/acl/2024/) - [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/): [COLING 2025](https://md.research.elamur.ai/free/en/venues/coling/2025/) - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2021](https://md.research.elamur.ai/free/en/venues/emnlp/2021/) - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ## Cited by Papers of our library cite their works 64 times (of the 149,439 papers whose bibliographies we read); [10 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/long-bai/cited-by/). Updated 1 November 2026