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Model merging and model fusion efficiently combines learned models into a single model.
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 An Empirical Survey of Model Merging Algorithms for Social Bias Mitigation Daiki Shirafuji Tatsuhiko Saito Yasutomo Kimura | |||
 Think in Parallel, Answer as One: Logit Averaging for Open-Ended Reasoning Haonan Wang Chao Du Kenji Kawaguchi Tianyu Pang | |||
 Stay Unique, Stay Efficient: Preserving Model Personality in Multi-Task Merging Kuangpu Guo Yuhe Ding Jian Liang Zilei Wang Ran He | |||
From Coefficients to Directions: Rethinking Model Merging with Directional Alignment Zhikang Chen Sen Cui Deheng Ye Min Zhang Gang Niu Yu Zhang Masashi Sugiyama Tingting Zhu | |||
 Merging Mechanisms for Ads and Organic Items in E-commerce Platforms Nan An Weian Li Qi Qi Liang Zhang | |||
 Economies of Open Intelligence: Tracing Power & Participation in the Model Ecosystem Shayne Longpre Christopher Akiki Campbell Lund Atharva Kulkarni Emily Chen Irene Solaiman Avijit Ghosh Yacine Jernite Lucie-Aimée Kaffee | |||
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