Jonghyun Song, Haewon Park +3Graduate School of Data Science, Seoul National University (affiliations: {hyeongoon11, dellaanima2, jhshim98, yohan.jo}@snu.ac.kr)
Analyzes how LLM agents prefer items from particular sources during end-to-end search and how these preferences affect selections across shopping, accommodation, and scholarly domains. Shows source labels can override item quality and evaluates mitigation strategies such as hiding sources, relabeling, supplying missing information, and counter-prompts.
AI Model2026
GGUF-packaged weights for EmbeddingGemma 2 enabling local multimodal embeddings (text, image, video, audio); supports 768/512/256/128 dimensions, BF16/FP32 inference, selective modality loading for lower memory, and is suited for semantic search and RAG.