🧑‍🔬 Who cites Pashmina Cameron

216 citations of their works from 216 papers of our library (of the 149,439 whose bibliographies we read) · 32 with a page here, the most cited first · ← Pashmina Cameron

1. QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM ServingMLSys 2025Yujun Lin, Haotian Tang, Shang Yang, et al.2024 · 120 citations
2. A Survey on Efficient Inference for Large Language ModelsarXiv:2404.14294Zixuan Zhou, Xuefei Ning, Ke Hong, et al.2024 · 113 citations
3. GLM-5: from Vibe Coding to Agentic EngineeringarXiv:2602.15763Aohan Zeng, Xin Lv, Zhenyu Hou, et al.2026 · 95 citations
4. EfficientQAT: Efficient Quantization-Aware Training for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Mengzhao Chen, Wenqi Shao, Peng Xu, et al.2025 · 82 citations
5. Rethinking On-Policy Distillation of Large Language Models: Phenomenology, Mechanism, and RecipearXiv:2604.13016Yaxuan Li, Yuxin Zuo, Bingxiang He, et al.2026 · 58 citations
6. A Survey of Resource-efficient LLM and Multimodal Foundation ModelsarXiv:2401.08092Mengwei Xu, Wangsong Yin, Dongqi Cai, et al.2024 · 54 citations
7. From Decoding to Meta-Generation: Inference-time Algorithms for Large Language ModelsarXiv:2406.16838Sean Welleck, Amanda Bertsch, Matthew Finlayson, et al.2024 · 51 citations
8. A Survey of On-Policy Distillation for Large Language ModelsarXiv:2604.00626Mingyang Song, Mao Zheng2026 · 41 citations
9. Revisiting On-Policy Distillation: Empirical Failure Modes and Simple FixesarXiv:2603.25562Yuqian Fu, Haohuan Huang, Kaiwen Jiang, et al.2026 · 31 citations
10. MiniCPM4: Ultra-Efficient LLMs on End DevicesarXiv:2506.07900MiniCPM Team, Chaojun Xiao, Yuxuan Li, et al.2025 · 22 citations
11. “Give Me BF16 or Give Me Death”? Accuracy-Performance Trade-Offs in LLM QuantizationAnnual Meeting of the Association for Computational Linguistics (ACL)Eldar Kurtic, Alexandre Noll Marques, Shubhra Pandit, et al.2025 · 21 citations
12. Baichuan-M2: Scaling Medical Capability with Large Verifier SystemarXiv:2509.02208Chengfeng Dou, Chong Liu, Fan Yang, et al.2025 · 19 citations
13. EXP-Bench: Can AI Conduct AI Research Experiments?arXiv:2505.24785Patrick Tser Jern Kon, Jiachen Liu, Xinyi Zhu, et al.2025 · 17 citations
14. Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language ModelsFindings of the Association for Computational LinguisticsHengyuan Zhang, Zhihao Zhang, Ercong Nie, et al.2026 · 9 citations
15. KL for a KL: On-Policy Distillation with Control Variate BaselinearXiv:2605.07865Minjae Oh, Sangjun Song, Gyubin Choi, et al.2026 · 8 citations
16. When Are Teacher Tokens Reliable? Position-Weighted On-Policy Self-Distillation for ReasoningarXiv:2605.21606Xiaogeng Liu, Xinyan Wang, Yingzi Ma, et al.2026 · 8 citations
17. Uni-OPD: Unifying On-Policy Distillation with a Dual-Perspective RecipearXiv:2605.03677Wenjin Hou, Shangpin Peng, Weinong Wang, et al.2026 · 6 citations
18. ARCQuant: Boosting NVFP4 Quantization with Augmented Residual Channels for LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Haoqian Meng, Yilun Luo, Yafei Zhao, et al.2026 · 5 citations
19. Exploring Layer-wise Information Effectiveness for Post-Training Quantization in Small Language ModelsFindings of the Association for Computational LinguisticsHe Xiao, Qingyao Yang, Dirui Xie, et al.2026 · 5 citations
20. MixKVQ: Query-Aware Mixed-Precision KV Cache Quantization for Long-Context ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Tao Zhang, Ziqian Zeng, Hao Peng, et al.2026 · 5 citations
21. Balancing Fidelity and Plasticity: Aligning Mixed-Precision Fine-Tuning with Linguistic HierarchiesFindings of the Association for Computational LinguisticsChanghai Zhou, Shiyang Zhang, Yuhua Zhou, et al.2026 · 3 citations
22. Bit-by-Bit: Progressive QAT Strategy with Outlier Channel Splitting for Stable Low-Bit LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Binxing Xu, Hao Gu, Lujun Li, et al.2026 · 3 citations
23. SharVeT: Similarity-aware Parameter Sharing with Vector-based Tuning for Efficient LLM CompressionAnnual Meeting of the Association for Computational Linguistics (ACL)Jeongin Yun, Jaeri Lee, Jongjin Kim, et al.2026 · 1 citation
24. Unleashing Low-Bit Inference on Ascend NPUs: A Comprehensive Evaluation of HiFloat FormatsAnnual Meeting of the Association for Computational Linguistics (ACL)Pengxiang Zhao, Hui-Ling Zhen, Xing Li, et al.2026 · 1 citation
25. ACBQ: Adaptive Cross-Block Quantization of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Hailing Wang, Jianglin Lu, Yitian Zhang, et al.2026
26. Benchmarking Post-Training Quantization of Large Language Models under Microscaling Floating Point FormatsAnnual Meeting of the Association for Computational Linguistics (ACL)Manyi Zhang, Ji-Fu Li, Zhongao Sun, et al.2026
27. BWLA: Breaking the Barrier of W1AX Post-Training Quantization for LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhixiong Zhao, Zukang Xu, Dawei Yang2026
28. Layer-Wise High-Impact Parameter Ratio Optimization in Post-Training Quantization for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Cuong Pham, Anh Dung Hoang, Cuong C. Nguyen, et al.2026
29. LBLLM: Lightweight Binarization of Large Language Models via Three-Stage DistillationAnnual Meeting of the Association for Computational Linguistics (ACL)Siqing Song, Chuang Wang, Yong Lang, et al.2026
30. PE-QAT: Parameter-Efficient Quantization-Aware Training for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Shresth Mishra2026
31. pQuant: Towards Effective Low-Bit Language Models via Decoupled Linear Quantization-Aware TrainingFindings of the Association for Computational LinguisticsWenzheng Zhang, Bingzheng Liu2026
32. VecInfer: Efficient LLM Inference with Low-Bit KV Cache via Outlier-Suppressed Vector QuantizationAnnual Meeting of the Association for Computational Linguistics (ACL)Dingyu Yao, Chenxu Yang, Zhengyang Tong, et al.2026

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