作者位次 #2/2ICLR 2026Poster· General Machine Learning / Probabilistic Methods
Learning Survival Distributions with Individually Calibrated Asymmetric Laplace Distribution
Deming Sheng · Ricardo Henao
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Deming Sheng · Ricardo Henao
Hongye Liu · Dhanajit Brahma · Ricardo Henao
Recent advances in summary evaluation are based on model-based metrics to assess quality dimensions, such as completeness, conciseness, and faithfulness. However, these methods often require large language models, and predicted scores are frequently miscalibrated, limiting their reliability. More...
Hongye Liu · Liang Ding · Ricardo Henao
Recent advances in summarization research focus on improving summary quality across multiple criteria, such as completeness, conciseness, and faithfulness, by jointly optimizing these dimensions. However, these efforts largely overlook the challenge of controlling summary generation with respect...