--- title: "Who cites Long Bai — 64 papers of our library — Elamur Research" description: "64 papers of the Elamur Research library cite the works of Long Bai, found in their bibliographies; the most cited first." canonical: "https://research.elamur.ai/free/en/authors/long-bai/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/long-bai/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Long Bai](https://md.research.elamur.ai/free/en/authors/long-bai/) / cited by # Who cites Long Bai 64 citations of their works from 64 papers of our library (of the 149,439 whose bibliographies we read) · 13 with a page here, the most cited first · [← Long Bai](https://md.research.elamur.ai/free/en/authors/long-bai/) 1. **[Large Language Models for Generative Information Extraction: A Survey](https://md.research.elamur.ai/free/en/papers/xu-2023-large-language-models-generative-information/) [Frontiers of Computer Science](https://md.research.elamur.ai/free/en/venues/frontiers-of-computer-science/)**Derong Xu, Wei Chen, Wenjun Peng, et al.*2023 · 406 citations* 2. [**Constituency Parsing using LLMs arXiv:2310.19462**Xuefeng Bai, Jialong Wu, Yulong Chen, et al.*2023 · 14 citations*](https://md.research.elamur.ai/free/en/papers/bai-2023-constituency-parsing-using-llms/) 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/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Zhilei Hu, Zixuan Li, Xiaolong Jin, et al.*2025 · 13 citations* 4. **[Beyond Boundaries: Learning a Universal Entity Taxonomy across Datasets and Languages for Open Named Entity Recognition](https://md.research.elamur.ai/free/en/papers/yang-2025-beyond-boundaries-learning-universal-entity/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Yuming Yang, Wantong Zhao, Caishuang Huang, et al.*2025 · 11 citations* 5. **[MASPO: Unifying Gradient Utilization, Probability Mass, and Signal Reliability for Robust and Sample-Efficient LLM Reasoning](https://md.research.elamur.ai/free/en/papers/fu-2026-maspo-unifying-gradient-utilization-probability/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiaoliang Fu, Jiaye Lin, Yangyi Fang, et al.*2026 · 7 citations* 6. **[GAM: Hierarchical Graph-based Agentic Memory for LLM Agents](https://md.research.elamur.ai/free/en/papers/wu-2026-gam-hierarchical-graph-based-agentic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhaofen Wu, Hanrong Zhang, Fulin Lin, et al.*2026 · 5 citations* 7. **[KnowMe-Bench: Benchmarking Person Understanding for Lifelong Digital Companions](https://md.research.elamur.ai/free/en/papers/wu-2026-knowme-bench-benchmarking-person-understanding/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tingyu Wu, Zhisheng Chen, Ziyan Weng, et al.*2026 · 1 citation* 8. **[AnchorAlign: A Novel Anchor Alignment-enhanced Generative Method for Joint Named Entity Recognition and Relation Extraction](https://md.research.elamur.ai/free/en/papers/weng-2026-anchoralign-novel-anchor-alignment-enhanced/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xiaolong Weng, Yuanyun Zhou, Boyu Qiu, et al.*2026* 9. **[Capability Decomposition for Unified Information Extraction via Hierarchical Mixture-of-Experts](https://md.research.elamur.ai/free/en/papers/zhou-2026-capability-decomposition-unified-information-extraction/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jing Zhou, Peng Wang, Wenjun Ke, et al.*2026* 10. **[Contrastively Pre-trained Event Embeddings with Schema-free LLM Annotations](https://md.research.elamur.ai/free/en/papers/mtumbuka-2026-contrastively-pre-trained-event-embeddings/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Frank Mtumbuka, Steven Schockaert*2026* 11. **[EXCEEDS: Extracting Complex Events via Nugget-based Grid Modeling in Scientific Domain](https://md.research.elamur.ai/free/en/papers/lu-2026-exceeds-extracting-complex-events-nugget/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yi-Fan Lu, Xian-Ling Mao, Bo Wang, et al.*2026* 12. **[MMUIE: Massive Multi-Domain Universal Information Extraction for Long Documents](https://md.research.elamur.ai/free/en/papers/zhang-2026-mmuie-massive-multi-domain-universal/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shuyi Zhang, Zhenbin Chen, Shuting Li, et al.*2026* 13. **[ProUIE: A Macro-to-Micro Progressive Learning Method for LLM-based Universal Information Extraction](https://md.research.elamur.ai/free/en/papers/liu-2026-prouie-macro-micro-progressive-learning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Wenda Liu, Song Zhigang, Shuai Nie, et al.*2026* 51 more citing papers of our library have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/authors/long-bai/) — Long Bai