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leaderboard_results.csv

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 Test Acc,Solution,Institution,Region,Paper,Lead Author
 0.75162,Mosaic,Florida International University,US,Improving Speech-based Emotion Recognition with Contextual Utterance Analysis and LLMs,Enshi Zhang
-0.75059,UoE,University of Edinburgh,UK,Context and System Fusion in Post-ASR Emotion Recognition with Large Language Models,Pavel Stepachev and Pinzhen Chen
-0.64522,SLAM,Academia Sinica,TW,"How Good is ChatGPT at Audiovisual Deepfake Detection: A Comparative Study of ChatGPT, AI Models and Human Perception","Speech, Language nad Music Processing (SLAM) Laboratory"
+0.75059,Edinburgh,University of Edinburgh,UK,Context and System Fusion in Post-ASR Emotion Recognition with Large Language Models,Pavel Stepachev and Pinzhen Chen
+0.64522,SLAM,Academia Sinica,TW,A Study on Zero-shot Non-intrusive Speech Assessment using Large Language Models,Speech, Language and Music Processing (SLAM) Laboratory
 0.58809,TeamBlack,Columbia University,US,Post-ASR LLM-Based Speech Emotion Recognition: A fight between top LLMs,Sounak Ray
 0.5518,GPT-3.5 Turbo,Baseline,Global,"Large Language Model Based Generative Error Correction: A Challenge and Baselines for Speech Recognition, Speaker Tagging, and Emotion Recognition",Official