360智腦推出Light-IF系列模型 顯著提升複雜指令遵循能力
360智腦團隊宣佈推出全新的Light-IF系列模型，這一創新框架旨在顯著提升大型語言模型（LLM）在複雜指令遵循方面的能力。隨着人工智能技術的不斷進步，儘管LLM在數學、編程等領域已經展現出了卓越的推理能力，但在遵循複雜指令方面仍存在不足。爲了解決這一問題，360智腦團隊提出了以預覽-自檢式推理和信息熵控制爲核心的Light-IF框架。
Light-IF框架通過五個關鍵環節來提升模型性能:難度感知指令生成、Zero-RL強化學習、推理模式提取與過濾、熵保持監督冷啓動、熵自適應正則強化學習。這一框架的提出，旨在破解當前推理模型中存在的“懶惰推理”現象，即模型在思考階段僅複述指令而不主動檢查約束是否被滿足
%20--%3e%3cdefs%3e%3cstyle%3e%20.st0%20{%20fill:%20%23061b40;%20}%20.st1%20{%20fill:%20%23306af1;%20}%20.st2%20{%20fill:%20%235ce5cf;%20}%20%3c/style%3e%3c/defs%3e%3cg%3e%3cpath%20class='st0'%20d='M55,10.5h9v3h-9v9h12V7.5h-12v3ZM64,19.5h-6v-3h6v3Z'/%3e%3cpolygon%20class='st0'%20points='69%2016.5%2078%2016.5%2078%2019.5%2069%2019.5%2069%2022.5%2081%2022.5%2081%2013.5%2072%2013.5%2072%2010.5%2081%2010.5%2081%207.5%2069%207.5%2069%2016.5'/%3e%3cpolygon%20class='st0'%20points='95%2010.5%2095%207.5%2083%207.5%2083%2022.5%2095%2022.5%2095%2019.5%2086%2019.5%2086%2016.5%2095%2016.5%2095%2013.5%2086%2013.5%2086%2010.5%2095%2010.5'/%3e%3cpath%20class='st0'%20d='M40,1.5v21h11.6l1.4-1.4v-7.6h0c0,0-1.4-1.5-1.4-1.5l1.4-1.4V2.9l-1.4-1.4h-11.6ZM50,19.5h-7v-6h7v6ZM50,10.5h-7v-6h7v6Z'/%3e%3c/g%3e%3cpath%20class='st1'%20d='M23.1,24L14.7,4.8l-4.9,11.2h3.8l-1.8,4H3.3L12.1,0H2C.9,0,0,.9,0,2v20c0,1.1.9,2,2,2h21.1Z'/%3e%3cpath%20class='st2'%20d='M34,0h-16.8l10.6,24h6.2c1.1,0,2-.9,2-2V2C36,.9,35.1,0,34,0ZM32.5,20h-4V4h4v16Z'/%3e%3c/svg%3e)
