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20242026
most citedAlpsBench: An LLM Personalization Benchmark for Real-Dialogue Memorization and Preference Alignment

1 citations · 1 across the 9 of their papers we have counts for

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cs.CL2025

Think-While-Generating: On-the-Fly Reasoning for Personalized Long-Form Generation

Chengbing Wang, Yang Zhang, Wenjie Wang +4

Preference alignment has enabled large language models (LLMs) to better reflect human expectations, but current methods mostly optimize for population-level preferences, overlookin…

cs.IR2025

Decoding in Latent Spaces for Efficient Inference in LLM-based Recommendation

Chengbing Wang, Yang Zhang, Zhicheng Wang +4

Fine-tuning large language models (LLMs) for recommendation in a generative manner has delivered promising results, but encounters significant inference overhead due to autoregress…