---
title: "Who cites MEMORYLLM: Towards — 23 citing papers"
description: "23 papers of the Elamur Research library cite «MEMORYLLM: Towards Self-Updatable Large Language Models», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/wang-2024-memoryllm-towards-self-updatable-large/cited-by/"
---
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# Who cites «MEMORYLLM: Towards Self-Updatable Large Language Models»

23 papers of our library cite it (of the 149,439 whose bibliographies we read) · 7 with a page here, the most cited first · [← back to «MEMORYLLM: Towards Self-Updatable Large Language Models»](https://md.research.elamur.ai/free/en/papers/wang-2024-memoryllm-towards-self-updatable-large/)

1. **[HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models](https://md.research.elamur.ai/free/en/papers/gutierrez-2024-hipporag-neurobiologically-inspired-long-term/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Bernal Jimenez Gutierrez, Yiheng Shu, Yu Gu, et al.*2024 · 268 citations*
2. [**A Comprehensive Survey on Long Context Language Modeling arXiv:2503.17407**Jiaheng Liu, Dawei Zhu, Zhiqi Bai, et al.*2025 · 64 citations*](https://md.research.elamur.ai/free/en/papers/liu-2025-comprehensive-survey-long-context-language/)
3. **[Dynamic Cheatsheet: Test-Time Learning with Adaptive Memory](https://md.research.elamur.ai/free/en/papers/suzgun-2026-dynamic-cheatsheet-test-time-learning/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Mirac Suzgun, Mert Yuksekgonul, Federico Bianchi, et al.*2026 · 37 citations*
4. **[A Survey on Efficient Large Language Model Training: From Data-centric Perspectives](https://md.research.elamur.ai/free/en/papers/luo-2025-survey-efficient-large-language-model/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Junyu Luo, Bohan Wu, Xiao Luo, et al.*2025 · 14 citations*
5. **[Bidirectional LMs are Better Knowledge Memorizers? A Benchmark for Real-world Knowledge Injection](https://md.research.elamur.ai/free/en/papers/zhang-2026-bidirectional-lms-are-better-knowledge/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuwei Zhang, Wenhao Yu, Shangbin Feng, et al.*2026 · 4 citations*
6. **[StreamMeCo: Long-Term Agent Memory Compression for Efficient Streaming Video Understanding](https://md.research.elamur.ai/free/en/papers/wang-2026-streammeco-long-term-agent-memory/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Junxi Wang, Te Sun, Jiayi Zhu, et al.*2026 · 3 citations*
7. **[MemCoRL: Alternating Co-Optimization of Memory Retrieval and Utilization via Collaborative Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/liu-2026-memcorl-alternating-co-optimization-memory/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuewen Liu, Peng Xu, Muxi Diao, et al.*2026*

16 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/wang-2024-memoryllm-towards-self-updatable-large/) — MEMORYLLM: Towards Self-Updatable Large Language Models