3 citations · 7 across the 11 of their papers we have counts for
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cs.LG2025
ReasonIF: Large Reasoning Models Fail to Follow Instructions During Reasoning
Yongchan Kwon, Shang Zhu, Federico Bianchi +2
The ability of large language models (LLMs) to follow user instructions is central to their reliability, safety, and usefulness. While prior studies assess instruction adherence in…
cs.LG2024★ 1 cited
Rethinking Data Shapley for Data Selection Tasks: Misleads and Merits
Jiachen T. Wang, Tianji Yang, James Zou +2
Data Shapley provides a principled approach to data valuation and plays a crucial role in data-centric machine learning (ML) research. Data selection is considered a standard appli…
cs.LG2024
Proper Dataset Valuation by Pointwise Mutual Information
Rui Ray Chen, Xuan Qi, Yuxin Chen +3
Data plays a central role in advancements in modern artificial intelligence, with high-quality data emerging as a key driver of model performance. This has prompted the development…