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2020 – today
- 2025
[i10]Tian Jin, Ellie Y. Cheng, Zachary Ankner, Nikunj Saunshi, Blake M. Elias, Amir Yazdanbakhsh, Jonathan Ragan-Kelley, Suvinay Subramanian, Michael Carbin:
Learning to Keep a Promise: Scaling Language Model Decoding Parallelism with Learned Asynchronous Decoding. CoRR abs/2502.11517 (2025)- 2024
- [c2]Zachary Ankner, Naomi Saphra, Davis W. Blalock, Jonathan Frankle, Matthew L. Leavitt:
Dynamic Masking Rate Schedules for MLM Pretraining. EACL (2) 2024: 477-487 - [i9]Zachary Ankner, Rishab Parthasarathy, Aniruddha Nrusimha, Christopher Rinard, Jonathan Ragan-Kelley, William Brandon:
Hydra: Sequentially-Dependent Draft Heads for Medusa Decoding. CoRR abs/2402.05109 (2024) - [i8]Zachary Ankner, Cody Blakeney, Kartik Sreenivasan, Max Marion, Matthew L. Leavitt, Mansheej Paul:
Perplexed by Perplexity: Perplexity-Based Data Pruning With Small Reference Models. CoRR abs/2405.20541 (2024) - [i7]Rishab Parthasarathy, Zachary Ankner, Aaron Gokaslan:
Vid3D: Synthesis of Dynamic 3D Scenes using 2D Video Diffusion. CoRR abs/2406.11196 (2024) - [i6]Zachary Ankner, Mansheej Paul, Brandon Cui, Jonathan D. Chang, Prithviraj Ammanabrolu:
Critique-out-Loud Reward Models. CoRR abs/2408.11791 (2024) - [i5]Tanishq Kumar, Zachary Ankner, Benjamin Spector, Blake Bordelon, Niklas Muennighoff, Mansheej Paul, Cengiz Pehlevan, Christopher Ré, Aditi Raghunathan:
Scaling Laws for Precision. CoRR abs/2411.04330 (2024) - 2023
- [c1]J. Ryan Shue, Eric Ryan Chan, Ryan Po, Zachary Ankner, Jiajun Wu, Gordon Wetzstein:
3D Neural Field Generation Using Triplane Diffusion. CVPR 2023: 20875-20886 - [i4]Zachary Ankner, Naomi Saphra, Davis W. Blalock, Jonathan Frankle, Matthew L. Leavitt:
Dynamic Masking Rate Schedules for MLM Pretraining. CoRR abs/2305.15096 (2023) - [i3]William Brandon, Aniruddha Nrusimha, Kevin Qian, Zachary Ankner, Tian Jin, Zhiye Song, Jonathan Ragan-Kelley:
Striped Attention: Faster Ring Attention for Causal Transformers. CoRR abs/2311.09431 (2023) - 2022
- [j1]Zachary Ankner
, Purvaja Balaji, Ye Zhu, Chun Keat Hiew, Patrick Wang, Amar Gupta:
EntailSum: An Entailment-Based Approach to Aspect-Based Text Summarization with Automated Aspect Adaptation. Int. J. Pattern Recognit. Artif. Intell. 36(13): 2259017:1-2259017:16 (2022) - [i2]J. Ryan Shue, Eric Ryan Chan, Ryan Po, Zachary Ankner, Jiajun Wu, Gordon Wetzstein:
3D Neural Field Generation using Triplane Diffusion. CoRR abs/2211.16677 (2022) - [i1]Zachary Ankner, Alex Renda, Gintare Karolina Dziugaite, Jonathan Frankle, Tian Jin:
The Effect of Data Dimensionality on Neural Network Prunability. CoRR abs/2212.00291 (2022)
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