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…
Assessing Human Editing Effort on LLM-Generated Texts via Compression-Based Edit Distanceby Nicolas Devatine, Louis AbrahamFirst…
Development of a Large-scale Dataset of Chest Computed Tomography Reports in Japanese and a High-performance…
MathSpeech: Leveraging Small LMs for Accurate Conversion in Mathematical Speech-to-Formulaby Sieun Hyeon, Kyudan Jung, Jaehee…
G-VEval: A Versatile Metric for Evaluating Image and Video Captions Using GPT-4oby Tony Cheng Tong,…
RAC3: Retrieval-Augmented Corner Case Comprehension for Autonomous Driving with Vision-Language Modelsby Yujin Wang, Quanfeng Liu,…
Enhancing LLMs for Impression Generation in Radiology Reports through a Multi-Agent Systemby Fang Zeng, Zhiliang…
Knowledge Management for Automobile Failure Analysis Using Graph RAGby Yuta Ojima, Hiroki Sakaji, Tadashi Nakamura,…
Is my Meeting Summary Good? Estimating Quality with a Multi-LLM Evaluatorby Frederic Kirstein, Terry Ruas,…
Evaluating Generative AI-Enhanced Content: A Conceptual Framework Using Qualitative, Quantitative, and Mixed-Methods Approachesby Saman SarrafFirst…