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Visual insensitivity in multimodal LLMs can be effectively mitigated with a new framework that enhances alignment and reduces hallucinations.
LLMs choke on long numerical sequences, but a simple separator token trick can boost accuracy by 35% and cut token costs by 16%鈥攚ithout any training.
LLM-based recommendation gets a boost: initializing item embeddings with semantic keywords and aligning tokens to item clusters significantly improves performance.
