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17 Results
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Workshop
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Sat 14:30 |
How to build fully open language models: from pre-training to post-training Hannaneh Hajishirzi |
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Expo Workshop
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Wed 13:00 |
Post-training LLMs: From Algorithms to Training Infrastructures Yihang Cheng |
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Workshop
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Inducing Elasticity in Foundation Models: Post-Training Techniques for Adaptable Inference Aashiq Muhamed · Jiarui Liu · Mona Diab · Virginia Smith |
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Workshop
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Sat 13:36 |
Post-Training Statistical Calibration for Higher Activation Sparsity Vui Seng Chua · Yujie Pan · Nilesh Jain · Vui Seng Chua |
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Workshop
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Scaling laws for post-training quantized large language models Zifei Xu · Alexander Lan · Wanzin Yazar · Tristan Webb · Sayeh Sharify · Xin Wang |
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Poster
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Fri 11:00 |
PTQ4DiT: Post-training Quantization for Diffusion Transformers Junyi Wu · Haoxuan Wang · Yuzhang Shang · Mubarak Shah · Yan Yan |
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Poster
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Thu 16:30 |
Q-VLM: Post-training Quantization for Large Vision-Language Models Changyuan Wang · Ziwei Wang · Xiuwei Xu · Yansong Tang · Jie Zhou · Jiwen Lu |
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Poster
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Thu 16:30 |
MagR: Weight Magnitude Reduction for Enhancing Post-Training Quantization Aozhong Zhang · Naigang Wang · Yanxia Deng · Xin Li · Zi Yang · Penghang Yin |
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Poster
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Thu 16:30 |
ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization Haoran You · Yipin Guo · Yichao Fu · Wei Zhou · Huihong Shi · Xiaofan Zhang · Souvik Kundu · Amir Yazdanbakhsh · Yingyan (Celine) Lin |
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Workshop
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Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models Yuda Song · Hanlin Zhang · Udaya Ghai · Carson Eisenach · Sham Kakade · Dean Foster |
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Poster
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Fri 11:00 |
Towards Next-Level Post-Training Quantization of Hyper-Scale Transformers Junhan Kim · Chungman Lee · Eulrang Cho · Kyungphil Park · Ho-young Kim · Joonyoung Kim · Yongkweon Jeon |
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Poster
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Wed 11:00 |
2DQuant: Low-bit Post-Training Quantization for Image Super-Resolution Kai Liu · Haotong Qin · Yong Guo · Xin Yuan · Linghe Kong · Guihai Chen · Yulun Zhang |