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cs.CL2026
RADAR: Retrieval-Augmented Detector with Adversarial Refinement for Adaptive LLM-Generated Fake News Detection
Song-Duo Ma, Yi-Hung Liu, Hsin-Yu Lin +4
To efficiently combat the spread of LLM-generated misinformation in the news domain, we present RADAR, a Retrieval-Augmented Detector with Adversarial Refinement for adaptive LLM-g…
cs.CL2025
The Role of Exploration Modules in Small Language Models for Knowledge Graph Question Answering
Yi-Jie Cheng, Oscar Chew, Yun-Nung Chen
Integrating knowledge graphs (KGs) into the reasoning processes of large language models (LLMs) has emerged as a promising approach to mitigate hallucination. However, existing wor…
cs.CL2025
LLM Inference Enhanced by External Knowledge: A Survey
Yu-Hsuan Lin, Qian-Hui Chen, Yi-Jie Cheng +4
Recent advancements in large language models (LLMs) have enhanced natural-language reasoning. However, their limited parametric memory and susceptibility to hallucination present p…