DataFlex-RL: An Evaluation Platform for RLVR Data Policies
- 类型:arxiv
- 标识:2609.06107
- 链接:https://arxiv.org/abs/2609.06107
- 主分类:evaluation
- 形态:benchmark
- 被引:2
- 被引来源:Semantic Scholar
- S2被引:2
- OpenAlex被引:0
- 影响力被引:0
- TLDR:DataFlex-RL, an evaluation platform for comparing choices under a common GRPO recipe, is introduced, finding that changing the data policy measurably changes the training process but does not produce a reproducible improvement over uniform training.
- OpenAlex ID:W7212080076
- OpenAlex DOI:10.48550/arxiv.2609.06107
- DOI:10.48550/arxiv.2609.06107
- DOI来源:OpenAlex
- 开放获取:green
- 开放获取链接:https://arxiv.org/pdf/2609.06107
- OpenAlex更新:2026-09-15
- 待LLM分类:否
- 标题中文:DataFlex-RL:面向 RLVR 数据策略的评测平台
- TLDR中文:提出了 DataFlex-RL,一个在统一 GRPO 方案下比较数据策略的评测平台;研究发现,改变数据策略会显著影响训练过程,但相对于均匀训练并未带来可复现的提升。
- 副分类:engineering
- 来源文件:
- /inbox/tom/_candidates/2026-09-14-agent-rag-longcontext-candidates.json
- [OpenAlex backfill]
- [S2 enrich]