--- title: "Who cites Albert Gu — page 2 — 783 papers of our library" description: "783 papers of the Elamur Research library cite the works of Albert Gu, found in their bibliographies · page 2 of 2 · 101–117; the most cited first." canonical: "https://research.elamur.ai/free/en/authors/albert-gu/cited-by/page/2/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/albert-gu/cited-by/page/2/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Albert Gu](https://md.research.elamur.ai/free/en/authors/albert-gu/) / [cited by](https://md.research.elamur.ai/free/en/authors/albert-gu/cited-by/) / page 2 # Who cites Albert Gu 1,191 citations of their works from 783 papers of our library (of the 149,439 whose bibliographies we read) · 117 with a page here, the most cited first · page 2 of 2 · 101–117 · [← Albert Gu](https://md.research.elamur.ai/free/en/authors/albert-gu/) [← prev](https://md.research.elamur.ai/free/en/authors/albert-gu/cited-by/) [1](https://md.research.elamur.ai/free/en/authors/albert-gu/cited-by/) **2** 101. **[Beyond Memorization: Extending Reasoning Depth with Recurrence, Memory and Test-Time Compute Scaling](https://md.research.elamur.ai/free/en/papers/rodkin-2026-beyond-memorization-extending-reasoning-depth/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ivan Rodkin, Daniil Orel, Konstantin Smirnov, et al.*2026* 102. **[Bridging Attribution and Open-Set Detection using Graph-Augmented Instance Learning in Synthetic Speech](https://md.research.elamur.ai/free/en/papers/akhtar-2026-bridging-attribution-open-set-detection/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Mohd Mujtaba Akhtar, Girish, Farhan Sheth, et al.*2026* 103. **[CoMeT: Collaborative Memory Transformer for Efficient Long Context Modeling](https://md.research.elamur.ai/free/en/papers/zhao-2026-comet-collaborative-memory-transformer-efficient/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Runsong Zhao, Shilei Liu, Jiwei Tang, et al.*2026* 104. **[Do Transformers Grok Succinct Algorithms? Mechanistic Evidence for Counting Circuits](https://md.research.elamur.ai/free/en/papers/zhao-2026-do-transformers-grok-succinct-algorithms/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yizheng Zhao*2026* 105. **[Fico: Evaluating Vision-Language Models under Visual Fidelity and Compression at Scale](https://md.research.elamur.ai/free/en/papers/tu-2026-fico-evaluating-vision-language-models/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jianhong Tu, Nicholas Crispino, Kyle Montgomery, et al.*2026* 106. **[FlowHN: Adaptive Token Routing for Efficient Parallel Hybrid Networks](https://md.research.elamur.ai/free/en/papers/moradi-2026-flowhn-adaptive-token-routing-efficient/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mohammad Mahdi Moradi, Walid Ahmed, Shuangyue Wen, et al.*2026* 107. **[J-Shuwa: A Large-Scale Web-Collected Japanese Sign Language-Japanese Parallel Corpus](https://md.research.elamur.ai/free/en/papers/mo-2026-j-shuwa-large-scale-web/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Junwen Mo, MinhDuc Vo, Noriki Nishida, et al.*2026* 108. [**LLM surprisal is necessary but not sufficient to capture English garden-path effects: Evidence from joint latent modeling of reading paradigms arXiv:2602.04489**Dario Paape, Tal Linzen, Shravan Vasishth*2026*](https://md.research.elamur.ai/free/en/papers/paape-2026-llm-surprisal-necessary-but-sufficient/) 109. **[MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers](https://md.research.elamur.ai/free/en/papers/ma-2026-match-modulating-attention-context-retrieval/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Linrui Ma, Chun Hei Lo, Xinyu Wang, et al.*2026* 110. **[Octopus: Gated Selective Attention for Memory-Bounded Long-Context Inference in Large Language Models](https://md.research.elamur.ai/free/en/papers/nguyen-2026-octopus-gated-selective-attention-memory/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chien Van Nguyen, Ryan A. Rossi, Linh Ngo Van, et al.*2026* 111. **[PDR: A Plug-and-Play Positional Decay Framework for LLM Pre-training Data Detection](https://md.research.elamur.ai/free/en/papers/liu-2026-pdr-plug-play-positional-decay/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jinhan Liu, Yibo Yang, Ruiying Lu, et al.*2026* 112. **[RetentiveKV: State-Space Memory for Uncertainty-Aware Multimodal KV Cache Eviction](https://md.research.elamur.ai/free/en/papers/liu-2026-retentivekv-state-space-memory-uncertainty/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Sihao Liu, YuFan Xiong, Zhonghua Jiang, et al.*2026* 113. **[SEAD: A Surrogate-free Label-only Membership Inference Attack against Pre-trained LLMs with Semantic-Aware Density](https://md.research.elamur.ai/free/en/papers/yi-2026-sead-surrogate-free-label-only/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Biao Yi, Jiahao Li, Yiming Li, et al.*2026* 114. **[Timesteps of Mamba Align with Human Reading Times](https://md.research.elamur.ai/free/en/papers/yamamoto-2026-timesteps-mamba-align-human-reading/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yuji Yamamoto, Shinnosuke Isono, Yoshinobu Kawahara, et al.*2026* 115. **[Understanding In-Context Learning Beyond Transformers: An Investigation of State Space and Hybrid Architectures](https://md.research.elamur.ai/free/en/papers/wang-2026-understanding-context-learning-beyond-transformers/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shenran Wang, Timothy Tin-Long Tse, Jian Zhu*2026* 116. **[When depth is redundant: Efficient transformer-based speech anti-spoofing](https://md.research.elamur.ai/free/en/papers/tran-2026-when-depth-is-redundant-efficient/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hoan My Tran, Damien Lolive, Aghilas Sini, et al.*2026* 117. **[XLSR-MamBo: Scaling the Hybrid Mamba-Attention Backbone for Audio Deepfake Detection](https://md.research.elamur.ai/free/en/papers/ng-2026-xlsr-mambo-scaling-hybrid-mamba/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Kwok-Ho Ng, Tingting Song, Yongdong WU, et al.*2026* [← prev](https://md.research.elamur.ai/free/en/authors/albert-gu/cited-by/) [1](https://md.research.elamur.ai/free/en/authors/albert-gu/cited-by/) **2** 666 more citing papers of our library have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/authors/albert-gu/) — Albert Gu