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Mingyang Ling

2 accepted papers

2025

PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving

EMNLP 2025

Recently, decomposing complex problems into simple subtasks–a crucial part of human-like natural planning–to solve the given problem has significantly boosted the performance of large language models (LLMs). However, leveraging such planning structures during post-training to boost the performance o

Cited by 0SourcePDFScholar
2019

Scene Graph Generation With External Knowledge and Image Reconstruction

CVPR 2019poster

Scene graph generation has received growing attention with the advancements in image understanding tasks such as object detection, attributes and relationship prediction, etc. However, existing datasets are biased in terms of object and relationship labels, or often come with noisy and missing annot…

Cited by 386PDFScholar