XINLI1997/ReMaRk-data
ReMaRk data: Reddit-Books, Reddit-Books-Late and Reddit-Music (IDs and labels) Data for Many Right Answers, One Training Example: Removing Responder Noise from GRPO for LLM Recommenders (Xin Li, Hao Jiang, Jinghao Guo, Weisi Lin, Chau Yuen; Nanyang Technological University, Singapore). Code: https://github.com/LiXin97/ReMaRk (the same files are in its data_release/). Paper (arXiv): https://arxiv.org/abs/2610.17771. Project page: https://lixin.ai/ReMaRk/. Models and data: ReMaRk… See the full description on the dataset page: https://huggingface.co/datasets/XINLI1997/ReMaRk-data.
| Author / organization | XINLI1997 |
|---|---|
| License (as declared) | cc-by-nc-4.0 |
| Downloads | 165 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 13 October 2026 |
| Last updated at source | 14 October 2026 |
Connected in the knowledge graph
- XINLI1997/ReMaRk-Qwen3.5-2B-RedditBooks-ReMaRk-s3407-plateauModel · used to train
- XINLI1997/ReMaRk-Qwen3.5-2B-RedditMusic-RankGRPO-s3407Model · used to train
- XINLI1997/ReMaRk-Qwen3.5-2B-RedditBooks-RankGRPO-s3407-plateauModel · used to train
- XINLI1997/ReMaRk-Qwen3.5-2B-RedditBooks-SFTModel · used to train
- XINLI1997/ReMaRk-Qwen3.5-4B-RedditBooks-ReMaRk-s3407Model · used to train
- XINLI1997/ReMaRk-Qwen3.5-4B-RedditBooks-RankGRPO-s3407Model · used to train
- Many Right Answers, One Training Example: Removing Responder Noise from GRPO for LLM RecommendersPaper · cites
- XINLI1997/ReMaRk-Qwen3.5-2B-RedditMusic-SFTModel · used to train
- XINLI1997/ReMaRk-Qwen3.5-2B-RedditMusic-ReMaRk-s3407Model · used to train
Related papers
More from XINLI1997
- XINLI1997/pptx-format-error-200Dataset
- XINLI1997/DebateLedgerDataset
- XINLI1997/DN-MOPD-DataDataset
- XINLI1997/WirelessMATHBench-XLDataset
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.