BoN作为一个简单的sampling算法,在inference阶段能够提升生成response的质量,主打一个简单好用。然而,每次inference都要采用N个response再打N次分实在太慢,并且耗费资源。最近看到两篇文章都和BoN有关,先简单记录下第一篇。 前两天google发了一篇 BOND: Aligning LLMs with Best-of-N Distillation,起名J-BOND,名字很...
来自openai,2023.05月的论文;用Process-supervised Reward Models(PRMs,对每个reasoning step进行正确性打分,如图2)在更具挑战的数学数据集MATH上进行的实验;结论是:在用于best-of-N sampling时,PRMs比ORMs(只给整体answer打分)更好(见图3),且候选solution越多时效果差距越大,说明PRMs比ORMs更鲁棒,更不容易被“表面...
在[2407.14622] BOND: Aligning LLMs with Best-of-N Distillation 中,Google 的作者提出了 Best-of-N Distillation(BOND),是一种新的 RLHF 算法,旨在通过分布匹配(Distribution Matching)算法模拟 Best-of-N 采样策略,而无需在推理时显著增加计算开销。 具体来说,作者首先推导了 Best-of-N 采样的精确解析分布...
TL,DR: 将 best-of-N 策略等价到 policy 层面,进而在训练的时候将 policy 和等价 policy 进行对齐,实现一次采样生成与 best-of-N 一致 的生成效果. 可以看做是一种蒸馏. best of N 策略的效果不错,但是缺点是采样多次,成本比较大. 本文希望一次就生成不错的结果. 最核心的思路就是 将 best of N 这种...
《The Best of N.W.A: The Strength of Street Knowledge》是2006年12月26日发行的专辑，由Dr.Dre、DJ Yella担任制作人。简介 The Best of N.W.A: The Strength of Street Knowledge是一张有关N.W.A的一张汇编专辑。其中包含了他们的原版歌曲与一些Remix。与其同时发行的还有一张豪华20周年纪念DV...
2 0/N (0 < N < Low data security. A small amount of 100) transaction log loss and replication delay is allowed. 0 0 Limited disk write capability. No replication or long replication delay is allowed. NOTE ● When both innodb_flush_log_at_trx_commit and sync_binlog are set to 1, ...
As a founding member of N.W.A and a highly influential hip-hop producer, this artist has played a pivotal role in shaping the sound and direction of West Coast hip-hop. His debut solo album, The Chronic, not only catapulted him to superstardom but also introduced...
as the color is still referenced 28 years after its release. The concept of sampling John Woo’sThe Killermovie throughout was a game changer. “Wu-Gambinos” had every rapper and fan coming up with nicknames and aliases. His fashion sense also stood out. The image of him wearing that Po...
Determination of the Best Time of Sampling for Evaluation of Seed Bank Relation with Weed Density in Sugar Beet Using Regression AnalysisNaser Akbari
[LIMIT] Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks(arXiv 2022)[paper] [EMP] Incremental Prompting: Episodic Memory Prompt for Lifelong Event Detection(arXiv 2022)[paper] [SPTM] Class-Incremental Learning With Strong Pre-Trained Model(CVPR 2022)[paper] [BER] Bring Evanescen...