← Search

Jiwoo Song

2 accepted papers

2025

ATAS: Any-to-Any Self-Distillation for Enhanced Open-Vocabulary Dense Prediction

ICCV 2025poster

Vision-language models such as CLIP have recently propelled open-vocabulary dense prediction tasks by enabling recognition of a broad range of visual concepts. However, CLIP still struggles with fine-grained, region-level understanding, hindering its effectiveness on these dense prediction tasks. We…

Cited by 0SourcePDFScholar
2024

Model-based Preference Optimization in Abstractive Summarization without Human Feedback

EMNLP 2024main

In abstractive summarization, the challenge of producing concise and accurate summaries arises from the vast amount of information contained in the source document. Consequently, although Large Language Models (LLMs) can generate fluent text, they often introduce inaccuracies by hallucinating conten…