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cs.AI2025
Reward Model Routing in Alignment
Xinle Wu, Yao Lu
Reinforcement learning from human or AI feedback (RLHF / RLAIF) has become the standard paradigm for aligning large language models (LLMs). However, most pipelines rely on a single…
cs.LG2025
Invariant Representation Learning for Source-Free Time Series Forecasting with LLM-Centric Proxy Denoising
Kangjia Yan, Chenxi Liu, Hao Miao +4
Effective time series forecasting enables various real-world applications, benefiting from the proliferation of mobile devices. However, the volume of time series data may vary sig…
cs.CL2025
DETQUS: Decomposition-Enhanced Transformers for QUery-focused Summarization
Yasir Khan, Xinlei Wu, Sangpil Youm +5
Query-focused tabular summarization is an emerging task in table-to-text generation that synthesizes a summary response from tabular data based on user queries. Traditional transfo…