Some years ago, my linguistic research team and I started to develop a computational tool aimed at reconstructing the text of ...
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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 ...
A faster, smarter methodology for launching companies may make business plans obsolete. by Steve Blank Launching a new enterprise—whether it’s a tech start-up, a small business, or an initiative ...
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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