Author

Guillaume Salha-Galvan

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Book Open access Nov 2026

EARL: The 3rd Workshop on Evaluating and Applying Recommender Systems with Large Language Models

This proposal outlines the organization of the 3rd Workshop on Evaluating and Applying Recommender Systems with Large Language Models (EARL), to be co-located with the 35th International ACM Conference on Knowledge and Information Management (CIKM 2026) in Rome, Italy. Following the strong engagement of the first two E...

Guillaume Salha-Galvan, Irene Li, Rui-Hai Dong et al. · Proceedings of the 35th ACM... · 0 citations

#machine learning Preprint Oct 2026

Two-Level Softmax Sampling Done Right: Correcting Bias from Size Imbalance and Dispersion

Two sampling methods are proposed, Size-Corrected 2LS (S-2LS) and Size- and Dispersion-Corrected 2LS (SD-2LS), which provide provably better softmax approximations with negligible to non-existent computational overhead.

Walid Bendada, Guillaume Salha-Galvan · 0 citations

#machine learning Book Open access Mar 2026

IDProxy: CTR Prediction with Multimodal LLMs for Cold-Start Recommendation at Xiaohongshu

This paper presents IDProxy, a production-scale system developed at Xiaohongshu that leverages multimodal large language models (MLLMs) to generate proxy embeddings from rich content signals, enabling CTR prediction for new items in the absence of usage data.

Yu-Bin Zhang, Hai-Ming Xu, Guillaume Salha-Galvan et al. · Proceedings of the 20th ACM... · 2 citations