Reward models (Ranking learning) Chatbot Arena -竞技场模式 (Battle count of each combination of models, from LMSYS) (Fraction of Model A wins for all non-tied A vs. B battles, from LMSYS) LLM指令攻防 指令诱导 (诱导模型输出目标答案,from SuperCLUE) * 有害指令注入 (将真实有害意图注入到...
其中,--model参数指定了模型的ModelScope model id,模型链接:ZhipuAI/chatglm3-6b 带参数评估 python llmuses/run.py --model ZhipuAI/chatglm3-6b --template-type chatglm3 --model-args revision=v1.0.2,precision=torch.float16,device_map=auto --datasets mmlu ceval --use-cache true --limit 10 ...
Zero-Shot Listwise Document Reranking with a Large Language Model 这篇文章中,与现有的score and rank的point-wise打分方式不同,作者提出一种名为Listwise Reranker with a Large Language Model (LRL)的方法,利用GPT-3对文档进行list-wise的排序,直接生成候选文档的identifier序列实现重排。 point-wise vs list...
LiPO，逐列表偏好优化，参阅论文《LIPO: Listwise preference optimization through learning-to-rank》。RRHF，参阅论文《RRHF: Rank responses to align language models with human feedback without tears》。PRO，偏好排名优化，参阅论文《Preference ranking optimization for human alignment》。负偏好优化 这些研究有...
Reward models (Ranking learning) Chatbot Arena -竞技场模式 (Battle count of each combination of models, from LMSYS) (Fraction of Model A wins for all non-tied A vs. B battles, from LMSYS) LLM指令攻防 指令诱导 (诱导模型输出目标答案,from SuperCLUE) ...
Reward models (Ranking learning) Chatbot Arena -竞技场模式 (Battle count of each combination of models, from LMSYS) (Fraction of Model A wins for all non-tied A vs. B battles, from LMSYS) LLM指令攻防 指令诱导 (诱导模型输出目标答案,from SuperCLUE) 有害指令注入 (将真实有害意图注入...
retriever 和 context 之间可加一步 reranker 架构,对检索结果按特定规则进行重新排序。reranking 的机制既可通过模型判断,也可在模型基础上预设特定规则。 比如根据员工职级限制其可获取的企业知识库信息范围。 2 retrieve:RAG 的核心环节 目前工程实践上,大家把优化的重点基本都放在了 retrieve 环节里,这里面涉及三...
Reward models (Ranking learning) Chatbot Arena -竞技场模式 (Battle count of each combination of models, from LMSYS) (Fraction of Model A wins for all non-tied A vs. B battles, from LMSYS) LLM指令攻防 指令诱导 (诱导模型输出目标答案,from SuperCLUE) ...
DPO 可以执行 token 级信用分配的研究,参阅论文《From r to Q∗: Your language model is secretly a Q-function》,报道《这就是 OpenAI 神秘的 Q*?斯坦福:语言模型就是 Q 函数》。 TDPO,token 级 DPO,参阅论文《Token-level direct preference...
Reward models (Ranking learning) Chatbot Arena -竞技场模式 (Battle count of each combination of models, from LMSYS) (Fraction of Model A wins for all non-tied A vs. B battles, from LMSYS) LLM指令 指令诱导 (诱导模型输出目标答案,from SuperCLUE) 有害指令注入 (将真实有害意图注入到prom...