Paper

{
  "raw_xml": "<entry>\n    <id>http://arxiv.org/abs/2603.17838v1</id>\n    <title>Event-Centric Human Value Understanding in News-Domain Texts: An Actor-Conditioned, Multi-Granularity Benchmark</title>\n    <updated>2026-03-18T15:31:33Z</updated>\n    <link href='https://arxiv.org/abs/2603.17838v1' rel='alternate' type='text/html'/>\n    <link href='https://arxiv.org/pdf/2603.17838v1' rel='related' title='pdf' type='application/pdf'/>\n    <summary>Existing human value datasets do not directly support value understanding in factual news: many are actor-agnostic, rely on isolated utterances or synthetic scenarios, and lack explicit event structure or value direction. We present \\textbf{NEVU} (\\textbf{N}ews \\textbf{E}vent-centric \\textbf{V}alue \\textbf{U}nderstanding), a benchmark for \\emph{actor-conditioned}, \\emph{event-centric}, and \\emph{direction-aware} human value recognition in factual news. NEVU evaluates whether models can identify value cues, attribute them to the correct actor, and determine value direction from grounded evidence. Built from 2{,}865 English news articles, NEVU organizes annotations at four semantic unit levels (\\textbf{Subevent}, \\textbf{behavior-based composite event}, \\textbf{story-based composite event}, and \\textbf{Article}) and labels \\mbox{(unit, actor)} pairs for fine-grained evaluation across local and composite contexts. The annotations are produced through an LLM-assisted pipeline with staged verification and targeted human auditing. Using a hierarchical value space with \\textbf{54} fine-grained values and \\textbf{20} coarse-grained categories, NEVU covers 45{,}793 unit--actor pairs and 168{,}061 directed value instances. We provide unified baselines for proprietary and open-source LLMs, and find that lightweight adaptation (LoRA) consistently improves open-source models, showing that although NEVU is designed primarily as a benchmark, it also supports supervised adaptation beyond prompting-only evaluation. Data availability is described in Appendix~\\ref{app:data_code_availability}.</summary>\n    <category scheme='http://arxiv.org/schemas/atom' term='cs.CL'/>\n    <published>2026-03-18T15:31:33Z</published>\n    <arxiv:primary_category term='cs.CL'/>\n    <author>\n      <name>Yao Wang</name>\n    </author>\n    <author>\n      <name>Xin Liu</name>\n    </author>\n    <author>\n      <name>Zhuochen Liu</name>\n    </author>\n    <author>\n      <name>Jiankang Chen</name>\n    </author>\n    <author>\n      <name>Adam Jatowt</name>\n    </author>\n    <author>\n      <name>Kyoungsook Kim</name>\n    </author>\n    <author>\n      <name>Noriko Kando</name>\n    </author>\n    <author>\n      <name>Haitao Yu</name>\n    </author>\n  </entry>"
}