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cs.CL2026
Phoenix-VL 1.5 Medium Technical Report
Team Phoenix, :, Arka Ray +29
We introduce Phoenix-VL 1.5 Medium, a 123B-parameter natively multimodal and multilingual foundation model, adapted to regional languages and the Singapore context. Developed as a…
cs.CL2026
Fine-Grained Activation Steering: Steering Less, Achieving More
Zijian Feng, Tianjiao Li, Zixiao Zhu +7
Activation steering has emerged as a cost-effective paradigm for modifying large language model (LLM) behaviors. Existing methods typically intervene at the block level, steering t…
cs.CL2025
Rethinking Prompt Optimizers: From Prompt Merits to Optimization
Zixiao Zhu, Hanzhang Zhou, Zijian Feng +5
Prompt optimization (PO) provides a practical way to improve response quality when users lack the time or expertise to manually craft effective prompts. Existing methods typically…