PapersBuilders12:15Chinese contentSIT-Eval:基于情境的逐轮对话智能体评测框架德国团队做了个对话评测新框架,8 个模型跑 1292 轮情境对话,总分看不出的问题逐轮都暴露出来了,做 Agent 评测的可以看看。#SIT-Eval#LLM-judge#对话智能体#评测基准aarXiv cs.AI@Ravil Mussabayev et al. (4)SourceRead laterReadWorth followingUsefulFollow SIT-Eval
PapersMulti-sourceSelected11:22Chinese contentIB-RL:隔离双边强化学习提升战略对话智能体泛化IB-RL让对话双方独立对练,不靠固定对手。车销任务89.6% vs 基线84.6%,还胜过DeepSeek V4 Pro。#IB-RL#DeepSeek V4 Pro#强化学习#对话智能体4 sourcesEventaarXiv: DeepSeek@Senhao Wang et al. (7)SourceRead laterReadWorth followingUsefulFollow IB-RL