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Review

[논문리뷰] DIWALI - Diversity and Inclusivity aWare cuLture specific Items for India: Dataset and Assessment of LLMs for Cultural Text Adaptation in Indian Context

Maunendra Sankar Desarkar이 arXiv에 게시한 'DIWALI - Diversity and Inclusivity aWare cuLture specific Items for India: Dataset and Assessment of LLMs for Cultural Text Adaptation in Indian Context' 논문에 대한 자세한 리뷰입니다.
#Review#Cultural Adaptation#Large Language Models#Indian Culture#Dataset Creation#CSI#Human Evaluation#LLM Evaluation#Cultural Bias
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[논문리뷰] Analyzing the Effects of Supervised Fine-Tuning on Model Knowledge from Token and Parameter Levels

Qi Zhang이 arXiv에 게시한 'Analyzing the Effects of Supervised Fine-Tuning on Model Knowledge from Token and Parameter Levels' 논문에 대한 자세한 리뷰입니다.
#Review#Supervised Fine-Tuning (SFT)#Large Language Models (LLMs)#Model Knowledge#Closed-Book Question Answering (CBQA)#Parameter Restoration#Kullback-Leibler Divergence#Knowledge Forgetting
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[논문리뷰] Do You Hear What I Mean? Quantifying the Instruction-Perception Gap in Instruction-Guided Expressive Text-To-Speech Systems

Hung-yi Lee이 arXiv에 게시한 'Do You Hear What I Mean? Quantifying the Instruction-Perception Gap in Instruction-Guided Expressive Text-To-Speech Systems' 논문에 대한 자세한 리뷰입니다.
#Review#Instruction-Guided TTS#Expressive Speech Synthesis#Human Perception#Subjective Evaluation#Controllability#Instruction Following#Evaluation Metrics
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