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Abstract: Multiobjective combinatorial optimization (MOCO) problems have a wide range of applications in the real world. Recently, learning-based methods have achieved good results in solving MOCO ...
Abstract: In this paper, we consider the model merging process for large language models (LLMs) under a two-stage optimization framework. Traditional merging methods usually apply fixed blending rates ...
Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...
Scott Nevil is an experienced writer and editor with a demonstrated history of publishing content for Investopedia. He goes in-depth to create informative and actionable content around monetary policy ...
Your research proposal also needs to persuade someone about how and why your intended project is worthwhile. In your proposal you will need to explain and defend your choices. Always think about the ...
Researchers went under the hood of large language models to identify and influence specific concepts They were able to identify hallucinations and improve LLM outputs They uncovered vulnerabilities, ...
cuADMM solves multi-block SDP problems of the form: $$\min_X \left\langle C,X\right\rangle \quad\text{s.t.}\quad \begin{cases} \left\langle A_i,X\right\rangle = b_i ...
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