Summary of Beyond Silent Letters: Amplifying Llms in Emotion Recognition with Vocal Nuances, by Zehui Wu et al.
Beyond Silent Letters: Amplifying LLMs in Emotion Recognition with Vocal Nuancesby Zehui Wu, Ziwei Gong,…
Summary of Kemenkeugpt: Leveraging a Large Language Model on Indonesia’s Government Financial Data and Regulations to Enhance Decision Making, by Gilang Fajar Febrian et al.
KemenkeuGPT: Leveraging a Large Language Model on Indonesia’s Government Financial Data and Regulations to Enhance…
Summary of Improving Faithfulness Of Large Language Models in Summarization Via Sliding Generation and Self-consistency, by Taiji Li et al.
Improving Faithfulness of Large Language Models in Summarization via Sliding Generation and Self-Consistencyby Taiji Li,…
Summary of An Application Of Large Language Models to Coding Negotiation Transcripts, by Ray Friedman et al.
An Application of Large Language Models to Coding Negotiation Transcriptsby Ray Friedman, Jaewoo Cho, Jeanne…
Summary of Comparison Of Large Language Models For Generating Contextually Relevant Questions, by Ivo Lodovico Molina et al.
Comparison of Large Language Models for Generating Contextually Relevant Questionsby Ivo Lodovico Molina, Valdemar Švábenský,…
Summary of Do Llms Really Adapt to Domains? An Ontology Learning Perspective, by Huu Tan Mai et al.
Do LLMs Really Adapt to Domains? An Ontology Learning Perspectiveby Huu Tan Mai, Cuong Xuan…
Summary of Evaluating Large Language Models For Automatic Analysis Of Teacher Simulations, by David De-fitero-dominguez et al.
Evaluating Large Language Models for automatic analysis of teacher simulationsby David de-Fitero-Dominguez, Mariano Albaladejo-González, Antonio…
Summary of Collectivesft: Scaling Large Language Models For Chinese Medical Benchmark with Collective Instructions in Healthcare, by Jingwei Zhu et al.
CollectiveSFT: Scaling Large Language Models for Chinese Medical Benchmark with Collective Instructions in Healthcareby Jingwei…
Summary of Leveraging Foundation Models For Zero-shot Iot Sensing, by Dinghao Xue et al.
Leveraging Foundation Models for Zero-Shot IoT Sensingby Dinghao Xue, Xiaoran Fan, Tao Chen, Guohao Lan,…
Summary of Forecast-peft: Parameter-efficient Fine-tuning For Pre-trained Motion Forecasting Models, by Jifeng Wang et al.
Forecast-PEFT: Parameter-Efficient Fine-Tuning for Pre-trained Motion Forecasting Modelsby Jifeng Wang, Kaouther Messaoud, Yuejiang Liu, Juergen…