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119 Results
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Poster
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Speculative Decoding with CTC-based Draft Model for LLM Inference Acceleration Zhuofan Wen · Shangtong Gui · Yang Feng |
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Poster
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Thu 16:30 |
Expectile Regularization for Fast and Accurate Training of Neural Optimal Transport Nazar Buzun · Maksim Bobrin · Dmitry V. Dylov |
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Workshop
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"How Big is Big Enough?'' Adjusting Model Size in Continual Gaussian Processes Guiomar Pescador-Barrios · Sarah Filippi · Mark van der Wilk |
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Poster
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Thu 16:30 |
Reverse Transition Kernel: A Flexible Framework to Accelerate Diffusion Inference Xunpeng Huang · Difan Zou · Hanze Dong · Zhang · Yian Ma · Tong Zhang |
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Workshop
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Speculative Streaming: Fast LLM Inference without Auxiliary Models Nikhil Bhendawade · Mahyar Najibi · Irina Belousova · Qichen Fu · Henry Mason · Mohammad Rastegari |
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Workshop
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Improving LLM Generation with Inverse and Forward Alignment: Reward Modeling, Prompting, Fine-Tuning, and Inference-Time Optimization Hao Sun · Thomas Pouplin · Nicolás Astorga · Tennison Liu · Mihaela van der Schaar |
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Workshop
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Improving LLM Generation with Inverse and Forward Alignment: Reward Modeling, Prompting, Fine-Tuning, and Inference-Time Optimization Hao Sun · Thomas Pouplin · Nicolás Astorga · Tennison Liu · Mihaela van der Schaar |
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Workshop
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A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks Thomas Schmied · Thomas Adler · Vihang Patil · Maximilian Beck · Korbinian Pöppel · Johannes Brandstetter · Günter Klambauer · Razvan Pascanu · Sepp Hochreiter |
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Poster
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Wed 11:00 |
Opponent Modeling based on Subgoal Inference XiaoPeng Yu · Jiechuan Jiang · Zongqing Lu |
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Workshop
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Path-minimizing Latent ODEs as Inference Models Matt Sampson · Peter Melchior |
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Workshop
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Sat 9:20 |
MotherNet: Fast Training and Inference via Hyper-Network Transformers Andreas Mueller · Carlo Curino · Raghu Ramakrishnan |
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Poster
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Wed 11:00 |
Stratified Prediction-Powered Inference for Effective Hybrid Evaluation of Language Models Adam Fisch · Joshua Maynez · R. Hofer · Bhuwan Dhingra · Amir Globerson · William Cohen |