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cs.CL2026
Truth or Sophistry? LoFa: A Benchmark for LLM Robustness Against Logical Fallacies
Xudong Shen, Li Yuan, Ye Chen +3
Large Language Models (LLMs) exhibit strong semantic capabilities, yet their resilience to manipulative linguistic patterns such as logical fallacies remains underexplored. Prior w…
cs.CL2026
SMADE-IE: Sparse Multi-Agent Framework with Evidence-Driven Debate for Zero-Shot Information Extraction
Kenfeng Huang, Yi Cai, Xin Wu +2
Zero-shot information extraction (IE) with large language models (LLMs) has attracted increasing attention due to its flexibility in adapting to new schemas and domains without tas…
cs.CL2020
Research on multi-dimensional end-to-end phrase recognition algorithm based on background knowledge
Zheng Li, Gang Tu, Guang Liu +2
At present, the deep end-to-end method based on supervised learning is used in entity recognition and dependency analysis. There are two problems in this method: firstly, backgroun…