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…
Survey on Abstractive Text Summarization: Dataset, Models, and Metricsby Gospel Ozioma Nnadi, Flavio BertiniFirst submitted…
LLM Agent for Fire Dynamics Simulationsby Leidong Xu, Danyal Mohaddes, Yi WangFirst submitted to arxiv…
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…