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cs.CL2025
Unblocking Fine-Grained Evaluation of Detailed Captions: An Explaining AutoRater and Critic-and-Revise Pipeline
Brian Gordon, Yonatan Bitton, Andreea Marzoca +4
Large Vision-Language Models (VLMs) now generate highly detailed, paragraphlength image captions, yet evaluating their factual accuracy remains challenging. Current methods often m…
cs.CL2024
TANQ: An open domain dataset of table answered questions
Mubashara Akhtar, Chenxi Pang, Andreea Marzoca +2
Language models, potentially augmented with tool usage such as retrieval are becoming the go-to means of answering questions. Understanding and answering questions in real-world se…
cs.CL2024
Structsum Generation for Faster Text Comprehension
Parag Jain, Andreea Marzoca, Francesco Piccinno
We consider the task of generating structured representations of text using large language models (LLMs). We focus on tables and mind maps as representative modalities. Tables are…