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cs.IR2026
Rethinking Semantic Alignment in LLM-Enhanced Collaborative Filtering: A Spectral Decoupling Approach
Yedong Jin, Shaowen Peng, Tsunenori Mine +2
Recent advances in LLM-enhanced recommendation commonly align semantic representations with collaborative embeddings in a shared space, yet how alignment affects LLM-encoded inform…
cs.CL2026
What Does Activation Steering Control? Attribution Across Answer Encodings and Output-Sensitive Subspaces
Zhiwei Gao, Shaowen Peng, Shoko Wakamiya +1
Activation steering is often evaluated under the answer encoding used to construct the direction. A reported gain may reflect the intended judgment or compatibility with answer ide…
cs.CL2026
Can Large Language Models Imitate Human Speech for Clinical Assessment? LLM-Driven Data Augmentation for Cognitive Score Prediction
Si-Belkacem Yamine Ketir, Lenard Paulo Tamayo, Shohei Hisada +3
Accurate assessment of cognitive decline from spontaneous speech remains challenging due to limited dataset size and class imbalance. In this work, we propose a large language mode…