title: ReFeed: Multi-dimensional Summarization Refinement with Reflective
    Reasoning on Feedback
summary: Summarization refinement faces challenges when extending to multi-dimension.
  In this paper, we introduce ReFeed, a powerful summarization refinement
  pipeline that enhances multiple dimensions through reflective reasoning on
  feedback. To achieve this, we release SumFeed-CoT, a large-scale Long-CoT-based
  dataset optimized for training a lightweight model with reflective reasoning.
  Our experiments reveal how the number of dimensions, feedback exposure, and
  reasoning policy influence refinement performance, highlighting reflective
  reasoning and simultaneously addressing multiple feedback is crucial to
  mitigate trade-off between dimensions. Furthermore, ReFeed is robust to noisy
  feedback and feedback order. Lastly, our finding emphasizes that creating data
  with a proper goal and guideline constitutes a fundamental pillar of effective
  reasoning. The dataset and model will be released.
paper_authors._id: 67e623f10aaa5e9f7cf8a179
paper_authors.name: Taewon Yun
paper_authors.status: claimed_verified
paper_authors.statusLastChangedAt: 2025-03-28T08:36:56.604Z
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paper_authors.avatarUrl: /avatars/1f4417c4ac5e781ce73eae1060e3f7f2.svg
paper_authors.fullname: ytaewon
paper_authors.type: user
paper_authors.user: hamzzi
paper_authors._id: 67e623f10aaa5e9f7cf8a17a
paper_authors.name: Jihwan Oh
paper_authors._id: 67e623f10aaa5e9f7cf8a17b
paper_authors.name: Hyangsuk Min
paper_authors.status: admin_assigned
paper_authors.statusLastChangedAt: 2025-03-31T10:01:07.989Z
paper_authors._id: 6510c8ebf26dbb8827ee5e80
paper_authors.avatarUrl: /avatars/cc49a2f176c951007006e0dae331bc50.svg
paper_authors.fullname: Hyangsuk Min
paper_authors.type: user
paper_authors.user: hyang0503
paper_authors._id: 67e623f10aaa5e9f7cf8a17c
paper_authors.name: Yuho Lee
paper_authors.status: admin_assigned
paper_authors.statusLastChangedAt: 2025-03-31T10:01:13.949Z
paper_authors._id: 63f6eec4c96958470d207698
paper_authors.avatarUrl: /avatars/7fba5e561b809a1623bf2228435f1aad.svg
paper_authors.fullname: Yuho Lee
paper_authors.type: user
paper_authors.user: Myyhlee
paper_authors._id: 67e623f10aaa5e9f7cf8a17d
paper_authors.name: Jihwan Bang
paper_authors.status: admin_assigned
paper_authors.statusLastChangedAt: 2025-03-31T10:01:20.117Z
paper_authors._id: 644938d43def32791088b762
paper_authors.avatarUrl: /avatars/1f17916b92ef13452151175cb8cafdf9.svg
paper_authors.fullname: Jihwan Bang
paper_authors.type: user
paper_authors.user: hwany-j
paper_authors._id: 67e623f10aaa5e9f7cf8a17e
paper_authors.name: Jason Cai
paper_authors.status: admin_assigned
paper_authors.statusLastChangedAt: 2025-03-31T10:01:43.066Z
paper_authors._id: 6463c26aa5af935cfe70f08d
paper_authors.avatarUrl: /avatars/33b1210098891db54f57d1344b5110fb.svg
paper_authors.fullname: Jinglun (Jason) Cai
paper_authors.type: user
paper_authors.user: jasoncai
paper_authors._id: 67e623f10aaa5e9f7cf8a17f
paper_authors.name: Hwanjun Song
paper_title: ReFeed: Multi-dimensional Summarization Refinement with Reflective
    Reasoning on Feedback
paper_summary: Summarization refinement faces challenges when extending to multi-dimension.
  In this paper, we introduce ReFeed, a powerful summarization refinement
  pipeline that enhances multiple dimensions through reflective reasoning on
  feedback. To achieve this, we release SumFeed-CoT, a large-scale Long-CoT-based
  dataset optimized for training a lightweight model with reflective reasoning.
  Our experiments reveal how the number of dimensions, feedback exposure, and
  reasoning policy influence refinement performance, highlighting reflective
  reasoning and simultaneously addressing multiple feedback is crucial to
  mitigate trade-off between dimensions. Furthermore, ReFeed is robust to noisy
  feedback and feedback order. Lastly, our finding emphasizes that creating data
  with a proper goal and guideline constitutes a fundamental pillar of effective
  reasoning. The dataset and model will be released.
paper_ai_keywords: Long-CoT-based dataset reflective reasoning refinement performance ReFeed SumFeed-CoT