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Long Bai

Long Bai has 5 papers in our library, in 2021–2026, most of them on Language models & pretraining, Information extraction, Dialogue systems; often with Zixuan Li, Jiafeng Guo, Xiaolong Jin.

5 papers in our library · 2021–2026

OpenAlex · ORCID · Wikidata · h-index 16 · 62 works · 670 citations OpenAlex, 2026-10-14

📄 5 works in our library · 🔗 Cited 64 times in our library · ⭐ Paper Stars ranking: #6539

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🏛️Chinese Academy of SciencesBeijing · China2020–2026 · 24 paperscurrent🔬Institute of Computing TechnologyBeijing · China2020–2026 · 23 paperscurrent🎓Chinese University of Hong KongHong Kong · China2023–2025 · 27 papers🎓University of Chinese Academy of SciencesBeijing · China2020–2025 · 15 papers🎓City University of Hong Kong, Shenzhen Research InstituteShenzhen · China2024–2025 · 3 papers🎓University of Science and Technology of ChinaHefei · China2009–2017 · 2 papers

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 5The field of science this work belongs to (OpenAlex fields).Computer Science · 5 worksArtificial Intelligence · 5 worksArts and Humanities · 4 worksLanguage and Linguistics · 4 worksComputer Vision and Pattern Recognition · 1 work

🧭 Topics 3Research subjects and languages the work is about.Language models & pretraining · 3 worksInformation extraction · 2 worksDialogue systems · 1 work

 Works by year

2020s

20262 papers20251 paper20241 paper20211 paper

 Papers

The most cited first (OpenAlex and our library).

  1. KnowCoder: Coding Structured Knowledge into LLMs for Universal Information Extraction (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 (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 (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 (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 (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.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 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 →.

Updated

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