🧑‍🔬 Who cites Peter Izsak

163 citations of their works from 163 papers of our library (of the 149,439 whose bibliographies we read) · 36 with a page here, the most cited first · ← Peter Izsak

1. Flamingo: a Visual Language Model for Few-Shot LearningarXiv:2204.14198Jean-Baptiste Alayrac, Jeff Donahue, Pauline Luc, et al.2022 · 2,246 citations
2. Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A SurveyACM Computing SurveysBonan Min, Hayley Ross, Elior Sulem, et al.2021 · 1,556 citations
3. Code Llama: Open Foundation Models for CodearXiv:2308.12950Baptiste Rozière, Jonas Gehring, Fabian Gloeckle, et al.2024 · 1,430 citations
4. Phi-4 Technical ReportarXiv:2412.08905Marah Abdin, Jyoti Aneja, Harkirat Behl, et al.2024 · 502 citations
5. The Falcon Series of Open Language ModelsarXiv:2311.16867Ebtesam Almazrouei, Hamza Alobeidli, Abdulaziz Alshamsi, et al.2023 · 443 citations
6. Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and InferencearXiv:2412.13663Benjamin Warner, Antoine Chaffin, Benjamin Clavié, et al.2024 · 358 citations
7. Challenges and Applications of Large Language ModelsarXiv:2307.10169Jean Kaddour, Joshua Harris, Maximilian Mozes, et al.2023 · 301 citations
8. SmolLM2: When Smol Goes Big — Data-Centric Training of a Small Language ModelarXiv:2502.02737Loubna Ben Allal, Anton Lozhkov, Elie Bakouch, et al.2025 · 181 citations
9. Jamba: A Hybrid Transformer-Mamba Language ModelarXiv:2403.19887Opher Lieber, Barak Lenz, Hofit Bata, et al.2024 · 159 citations
10. LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context MultitasksarXiv:2412.15204Yushi Bai, Shangqing Tu, Jiajie Zhang, et al.2024 · 135 citations
11. The Impact of Positional Encoding on Length Generalization in TransformersConference on Neural Information Processing Systems (NeurIPS)Amirhossein Kazemnejad, Inkit Padhi, Karthikeyan Natesan Ramamurthy, et al.2023 · 134 citations
12. GLM-5: from Vibe Coding to Agentic EngineeringarXiv:2602.15763Aohan Zeng, Xin Lv, Zhenyu Hou, et al.2026 · 95 citations
13. How to Train Long-Context Language Models (Effectively)Annual Meeting of the Association for Computational Linguistics (ACL)Tianyu Gao, Alexander Wettig, Howard Yen, et al.2025 · 89 citations
14. Landmark Attention: Random-Access Infinite Context Length for TransformersarXiv:2305.16300Amirkeivan Mohtashami, Martin Jaggi2023 · 88 citations
15. Transformer Grammars: Augmenting Transformer Language Models with Syntactic Inductive Biases at ScaleTransactions of the Association for Computational Linguistics (TACL)Laurent Sartran, Samuel Barrett, Adhiguna Kuncoro, et al.2022 · 72 citations
16. Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-trainingarXiv:2305.14342Hong Liu, Zhiyuan Li, David Hall, et al.2023 · 70 citations
17. PoSE: Efficient Context Window Extension of LLMs via Positional Skip-wise TrainingarXiv:2309.10400Dawei Zhu, Nan Yang, Liang Wang, et al.2023 · 52 citations
18. Kimi Linear: An Expressive, Efficient Attention ArchitecturearXiv:2510.26692Kimi Team, Yu Zhang, Zongyu Lin, et al.2025 · 51 citations
19. Lost in Translation: Large Language Models in Non-English Content AnalysisarXiv:2306.07377Gabriel Nicholas, Aliya Bhatia2023 · 45 citations
20. The MiniPile Challenge for Data-Efficient Language ModelsarXiv:2304.08442Jean Kaddour2023 · 41 citations
21. Chinese Idiom ParaphrasingTransactions of the Association for Computational Linguistics (TACL)Jipeng Qiang, Yang Li, Chaowei Zhang, et al.2023 · 31 citations
22. No Train No Gain: Revisiting Efficient Training Algorithms For Transformer-based Language ModelsarXiv:2307.06440Jean Kaddour, Oscar Key, Piotr Nawrot, et al.2023 · 30 citations
23. Transformers Can Achieve Length Generalization But Not RobustlyarXiv:2402.09371Yongchao Zhou, Uri Alon, Xinyun Chen, et al.2024 · 29 citations
24. Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and PerformancearXiv:2507.22448Jingwei Zuo, Maksim Velikanov, Ilyas Chahed, et al.2025 · 15 citations
25. Attention Entropy is a Key Factor: An Analysis of Parallel Context Encoding with Full-attention-based Pre-trained Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhisong Zhang, Yan Wang, Xinting Huang, et al.2025 · 14 citations
26. POSITION BIAS MITIGATES POSITION BIAS: Mitigate Position Bias Through Inter-Position Knowledge DistillationConference on Empirical Methods in Natural Language Processing (EMNLP)Yifei Wang, Feng Xiong, Yong Wang, et al.2025 · 13 citations
27. MDCure: A Scalable Pipeline for Multi-Document Instruction-FollowingAnnual Meeting of the Association for Computational Linguistics (ACL)Gabrielle Kaili-May Liu, Bowen Shi, Avi Caciularu, et al.2025 · 11 citations
28. 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
29. Explicit Morphological Knowledge Improves Pre-training of Language Models for HebrewEylon Gueta, Omer Goldman, Reut Tsarfaty2023 · 7 citations
30. How Good is Your Wikipedia? Auditing Data Quality for Low-resource and Multilingual NLPAnnual Meeting of the Association for Computational Linguistics (ACL)Kushal Tatariya, Artur Kulmizev, Wessel Poelman, et al.2026 · 6 citations
31. From Storage to Experience: A Survey on the Evolution of LLM Agent Memory MechanismsFindings of the Association for Computational LinguisticsJinghao Luo, Yuchen Tian, Chuxue Cao, et al.2026 · 3 citations
32. Character-aware Transformers Learn an Irregular Morphological Pattern Yet None Generalize Like HumansWorkshop on Cognitive Modeling and Computational Linguistics (CMCL)Akhilesh Kakolu Ramarao, Kevin Tang, Dinah Baer-Henney2026
33. Data Foundations of Long-Context Language Models: A SurveyTransactions of the Association for Computational Linguistics (TACL)Zechen Sun, Yuyang Sun, Zhaochen Su, et al.2026
34. Position Encoding with Random Float Sampling Enhances Length Generalization of TransformersFindings of the Association for Computational LinguisticsAtsushi Shimizu, Shohei Taniguchi, Yutaka Matsuo2026
35. RRAtention: Dynamic Block Sparse Attention via Per-Head Round-Robin Shifts for Long-Context InferenceAnnual Meeting of the Association for Computational Linguistics (ACL)Siran Liu, Guoxia Wang, Sa Wang, et al.2026
36. SCOPE: Boosting LLM Efficiency with Scoped Position EncodingAnnual Meeting of the Association for Computational Linguistics (ACL)Qingguo Qi, Hongyang Chen, Zhao Li2026

127 more citing papers of our library have no page here yet.

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