Summary of Evaluate Summarization in Fine-granularity: Auto Evaluation with Llm, by Dong Yuan et al.
Evaluate Summarization in Fine-Granularity: Auto Evaluation with LLMby Dong Yuan, Eti Rastogi, Fen Zhao, Sagar…
Evaluate Summarization in Fine-Granularity: Auto Evaluation with LLMby Dong Yuan, Eti Rastogi, Fen Zhao, Sagar…
Survey of Pseudonymization, Abstractive Summarization & Spell Checker for Hindi and Marathiby Rasika Ransing, Mohammed…
LLM Agent for Fire Dynamics Simulationsby Leidong Xu, Danyal Mohaddes, Yi WangFirst submitted to arxiv…
Survey on Abstractive Text Summarization: Dataset, Models, and Metricsby Gospel Ozioma Nnadi, Flavio BertiniFirst submitted…
Continual Learning Using Only Large Language Model Promptingby Jiabao Qiu, Zixuan Ke, Bing LiuFirst submitted…
Multi-OphthaLingua: A Multilingual Benchmark for Assessing and Debiasing LLM Ophthalmological QA in LMICsby David Restrepo,…
Query-centric Audio-Visual Cognition Network for Moment Retrieval, Segmentation and Step-Captioningby Yunbin Tu, Liang Li, Li…
AD-LLM: Benchmarking Large Language Models for Anomaly Detectionby Tiankai Yang, Yi Nian, Shawn Li, Ruiyao…
Towards Understanding the Robustness of LLM-based Evaluations under Perturbationsby Manav Chaudhary, Harshit Gupta, Savita Bhat,…
Coverage-based Fairness in Multi-document Summarizationby Haoyuan Li, Yusen Zhang, Rui Zhang, Snigdha ChaturvediFirst submitted to…