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Workshop
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
Workshop
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
Poster
Thu 16:30 Accelerating Diffusion Models with Parallel Sampling: Inference at Sub-Linear Time Complexity
Haoxuan Chen · Yinuo Ren · Lexing Ying · Grant Rotskoff
Workshop
Towards Personalized Language Models via Inference-time Human Preference Optimization
Nikki Lijing Kuang · Wei Sun · Scott McFaddin · Yian Ma · Markus Ettl
Poster
Thu 11:00 Computation-Aware Gaussian Processes: Model Selection And Linear-Time Inference
Jonathan Wenger · Kaiwen Wu · Philipp Hennig · Jacob Gardner · Geoff Pleiss · John Cunningham
Poster
Real-Time Selection Under General Constraints via Predictive Inference
Yuyang Huo · Lin Lu · Haojie Ren · Changliang Zou
Workshop
Efficient Modeling of Irregular Time-Series with Stochastic Optimal Control
Byoungwoo Park · Hyungi Lee · Juho Lee
Workshop
QIANets: Quantum-Integrated Adaptive Networks for Reduced Latency and Improved Inference Times in CNN Models
Zhumazhan Balapanov · Edward Magongo · Vanessa Matvei · Olivia Holmberg · Kevin Zhu · Jonathan Pei
Workshop
Dipper: Diversity in Prompts for Producing Large Language Model Ensembles in Reasoning tasks
Gregory Kang Ruey Lau · Wenyang Hu · Liu Diwen · Chen Jizhuo · See-Kiong Ng · Bryan Kian Hsiang Low