3 papers
cs.IR2026
Structure-Preserving Projection for Mitigating Modality Bias in LLM-Based Sequential Recommendation
Tzu-Wei Chiu, Song-Duo Ma, Hsin-Yu Lin +1
Recent LLM-based recommenders integrate textual and collaborative signals by projecting collaborative embeddings into the embedding space of the LLM. However, this projection can i…
cs.CL2026
RADAR: Retrieval-Augmented Detector with Adversarial Refinement for Robust Fake News Detection
Song-Duo Ma, Yi-Hung Liu, Hsin-Yu Lin +4
To efficiently combat the spread of LLM-generated misinformation, we present RADAR, a Retrieval-Augmented Detector with Adversarial Refinement for robust fake news detection. Our a…
stat.ME2024
Statistical Operating Characteristics of Current Early Phase Dose Finding Designs with Toxicity and Efficacy in Oncology
Hao Sun, Hsin-Yu Lin, Jieqi Tu +2
Traditional phase I dose finding cancer clinical trial designs aim to determine the maximum tolerated dose (MTD) of the investigational cytotoxic agent based on a single toxicity o…