Who cites Niklas Nolte
- The Faiss libraryarXiv:2401.08281Matthijs Douze, Alexandr Guzhva, Chengqi Deng, et al.2024 · 453 citations
- Faith and Fate: Limits of Transformers on CompositionalityConference on Neural Information Processing Systems (NeurIPS)Nouha Dziri, Ximing Lu, Melanie Sclar, et al.2023 · 327 citations
- Progress measures for grokking via mechanistic interpretabilityarXiv:2301.05217Neel Nanda, Lawrence Chan, Tom Lieberum, et al.2023 · 228 citations
- MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse AttentionConference on Neural Information Processing Systems (NeurIPS)Huiqiang Jiang, Yucheng Li, Chengruidong Zhang, et al.2024 · 202 citations
- PyramidKV: Dynamic KV Cache Compression based on Pyramidal Information FunnelingarXiv:2406.02069Zefan Cai, Yichi Zhang, Bofei Gao, et al.2024 · 155 citations
- How does GPT-2 compute greater-than?: Interpreting mathematical abilities in a pre-trained language modelConference on Neural Information Processing Systems (NeurIPS)Michael Hanna, Ollie Liu, Alexandre Variengien2023 · 151 citations
- Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse AttentionarXiv:2502.11089Jingyang Yuan, Huazuo Gao, Damai Dai, et al.2025 · 142 citations
- RAFT: Adapting Language Model to Domain Specific RAGarXiv:2403.10131Tianjun Zhang, Shishir G. Patil, Naman Jain, et al.2024 · 137 citations
- Towards Efficient Generative Large Language Model Serving: A Survey from Algorithms to SystemsACM Computing SurveysXupeng Miao, Gabriele Oliaro, Zhihao Zhang, et al.2023 · 110 citations
- Mechanistic Interpretability for AI Safety — A ReviewarXiv:2404.14082Leonard Bereska, Efstratios Gavves2024 · 108 citations
- Reinforcement Learning for Reasoning in Large Language Models with One Training ExampleConference on Neural Information Processing Systems (NeurIPS)Yiping Wang, Qing Yang, Zhiyuan Zeng, et al.2025 · 87 citations
- On Memorization of Large Language Models in Logical ReasoningInternational Joint Conference on Natural Language Processing (IJCNLP)Chulin Xie, Yangsibo Huang, Chiyuan Zhang, et al.2025 · 45 citations
- Grokked Transformers are Implicit Reasoners: A Mechanistic Journey to the Edge of GeneralizationarXiv:2405.15071Boshi Wang, Xiang Yue, Yu Su, et al.2024 · 30 citations
- Omnigrok: Grokking Beyond Algorithmic DataarXiv:2210.01117Ziming Liu, Eric J. Michaud, Max Tegmark2022 · 29 citations
- Pretraining on the Test Set Is All You NeedarXiv:2309.08632Rylan Schaeffer2023 · 24 citations
- Language Models Use Trigonometry to Do AdditionarXiv:2502.00873Subhash Kantamneni, Max Tegmark2025 · 19 citations
- The Sparse Frontier: Sparse Attention Trade-offs in Transformer LLMsFindings of the Association for Computational LinguisticsPiotr Nawrot, Jianing Li, Renjie Huang, et al.2026 · 10 citations
- HybridKV: Hybrid KV Cache Compression for Efficient Multimodal Large Language Model InferenceAnnual Meeting of the Association for Computational Linguistics (ACL)Bowen Zeng, Feiyang Ren, Jun Zhang, et al.2026 · 4 citations
- Rectified Sparse Attention for Efficient Long-Sequence GenerationFindings of the Association for Computational LinguisticsYutao Sun, Tianzhu Ye, Li Dong, et al.2026 · 1 citation
- Question Tells You Where the Answer Is: Intention-aware Long-Context KV Cache CompressionAnnual Meeting of the Association for Computational Linguistics (ACL)Liang Zhao, Xiaocheng Feng, Weihong Zhong, et al.2026
- RoBSA: RoPE-based Blockwise Sparse Multi-head Latent AttentionAnnual Meeting of the Association for Computational Linguistics (ACL)Xinyu Shi, Kairong Luo, Zhen Zheng, et al.2026
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