CommonWhy is a new dataset of 15,000 why-questions for evaluating LLMs on entity-based causal commonsense reasoning grounded in Wikidata.
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4 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 4verdicts
UNVERDICTED 4representative citing papers
DocShield presents a new agentic reasoning framework using Cross-Cues-aware Chain of Thought to detect, localize, and explain text-centric forgeries in documents, with reported F1 gains of 41.4% over specialized methods and 23.4% over GPT-4o on T-IC13.
AdaQE-CG uses context-aware adaptive query expansion and inter-card knowledge transfer from a MetaGAI Pool to generate higher-quality model and data cards than prior methods, validated on the new expert-annotated MetaGAI-Bench.
Code evaluation metrics like CrystalBLEU perform comparably to dedicated tools such as Dolos and JPlag when ranking plagiarized code pairs across modification levels on open datasets.
citing papers explorer
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CommonWhy: A Dataset for Evaluating Entity-Based Causal Commonsense Reasoning in Large Language Models
CommonWhy is a new dataset of 15,000 why-questions for evaluating LLMs on entity-based causal commonsense reasoning grounded in Wikidata.
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DocShield: Towards AI Document Safety via Evidence-Grounded Agentic Reasoning
DocShield presents a new agentic reasoning framework using Cross-Cues-aware Chain of Thought to detect, localize, and explain text-centric forgeries in documents, with reported F1 gains of 41.4% over specialized methods and 23.4% over GPT-4o on T-IC13.
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AdaQE-CG: Adaptive Query Expansion for Web-Scale Generative AI Model and Data Card Generation
AdaQE-CG uses context-aware adaptive query expansion and inter-card knowledge transfer from a MetaGAI Pool to generate higher-quality model and data cards than prior methods, validated on the new expert-annotated MetaGAI-Bench.
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Can Code Evaluation Metrics Detect Code Plagiarism?
Code evaluation metrics like CrystalBLEU perform comparably to dedicated tools such as Dolos and JPlag when ranking plagiarized code pairs across modification levels on open datasets.