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Workshop
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#InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language Models
Keming Lu · Hongyi Yuan · Zheng Yuan · Runji Lin · Junyang Lin · Chuanqi Tan · Chang Zhou · Jingren Zhou
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Workshop
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Robot Fine-Tuning Made Easy: Pre-Training Rewards and Policies for Autonomous Real-World Reinforcement Learning
Jingyun Yang · Max Sobol Mark · Brandon Vu · Archit Sharma · Jeannette Bohg · Chelsea Finn
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Workshop
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Robot Fine-Tuning Made Easy: Pre-Training Rewards and Policies for Autonomous Real-World Reinforcement Learning
Jingyun Yang · Max Sobol Mark · Brandon Vu · Archit Sharma · Jeannette Bohg · Chelsea Finn
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Workshop
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FineQuant: Unlocking Efficiency with Fine-Grained Weight-Only Quantization for LLMs
Young Jin Kim · Rawn Henry · Raffy Fahim · Hany Awadalla
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Workshop
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Sat 9:42
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[Paper-Oral 8] LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models
Yixiao Li · Yifan Yu · Chen Liang · Nikos Karampatziakis · Pengcheng He · Weizhu Chen · Tuo Zhao
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Workshop
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Analyzing the factual knowledge of parameter efficient instruction tuned mid-size Large Language Models
Anmol Nayak · Hari prasad Timmapathini
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Workshop
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Parameter Efficient Finetuning for Reducing Activation Density in Transformers
Bharat Runwal · Tejaswini Pedapati · Pin-Yu Chen
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Workshop
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KronA: Parameter Efficient Tuning with Kronecker Adapter
Ali Edalati · Marzieh Tahaei · Ivan Kobyzev · Vahid Partovi Nia · James J. Clark · Mehdi Rezaghoizadeh
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Poster
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Thu 8:45
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Efficient Hyper-parameter Optimization with Cubic Regularization
Zhenqian Shen · Hansi Yang · Yong Li · James Kwok · Quanming Yao
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Workshop
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Sat 9:00
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Enabling Efficient Trillion Parameter Scale Training for Deep Learning Models
Olatunji Ruwase
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Poster
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Wed 15:00
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Efficient Uncertainty Quantification and Reduction for Over-Parameterized Neural Networks
Ziyi Huang · Henry Lam · Haofeng Zhang
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Workshop
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HART: Efficient Adaptation via Regularized Autoregressive Parameter Generation
Chen Liang · Nikos Karampatziakis · Tuo Zhao · Weizhu Chen
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