Large language models increasingly generate quantitative trading strategies, yet existing benchmarks assume standardized assets, numerical features, or directly compilable strategy representations---assumptions that prediction-market strategies violate, since a coarse idea may leave the traded outcome, causal informati...
Huai-Yu Jia, Ming-Xuan Zhao, Jin-Cheng Gao et al.· 0 citations
Internet memes are a pervasive form of multimodal online communication; however, such communication often involves users from diverse linguistic and cultural backgrounds. Therefore, adapting memes across cultures and languages is a central challenge for enabling mutual understanding in online communication. Unlike ordi...
Jingyi Zheng, Yu-Le Liu, Zi-Fan Peng et al.· 0 citations
TxSum is formulated, a new domain-grounded NLP task for DeFi transaction explanation, and MATEX, a grounded multi-agent framework for high-stakes transaction explanation is introduced, which achieves the strongest overall explanation quality.
Zifan Peng, Jingyi Zheng, Yule Liu et al.· 1 citation
Evaluations of LLM-based security assistants should jointly measure whether models respond, whether their usable responses are correct, and whether their outputs remain actionable across the engineering workflow.
Mingchen Li, M. Qiu, Zifan Peng et al.· 1 citation
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