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B-Ins), and VLMs with a thinking mode outperform those with a non-thinking mode (e.g., Kimi-VL-A
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DPO's rise as a computationally efficient alternative to RLHF for LLM alignment has spurred a diverse range of research, now systematically organized and analyzed in this comprehensive survey.