NewsReX: A More Efficient Approach to News Recommendation with Keras 3 and JAX
Paper β’ 2508.21572 β’ Published
MINER news recommendation model trained on MIND-small using the NewsReX framework (JAX).
| Seed | AUC | MRR | NDCG@5 | NDCG@10 |
|---|---|---|---|---|
| 123 | 0.6572 | 0.3102 | 0.3423 | 0.4066 |
| 42 | 0.6554 | 0.3094 | 0.3417 | 0.4059 |
| 456 * | 0.6610 | 0.3154 | 0.3493 | 0.4114 |
| mean Β± std | 0.6579Β±0.0024 | 0.3117Β±0.0027 | 0.3444Β±0.0035 | 0.4080Β±0.0025 |
* Best seed (weights at repo root)
newsrex/MINER-JAX-MIND-small/
βββ model.safetensors β best seed (456)
βββ test_results.json
βββ training_run_summary.json
βββ seed_123/model.safetensors
βββ seed_42/model.safetensors
βββ seed_456/model.safetensors
βββ README.md
git clone https://github.com/igor17400/NewsReX.git
cd NewsReX && uv sync
# Run evaluation with best seed weights
uv run python src/eval.py \
experiment=mind/miner \
framework=jax \
weights=hf://newsrex/MINER-JAX-MIND-small/model.safetensors
# Run evaluation with a specific seed
uv run python src/eval.py \
experiment=mind/miner \
framework=jax \
weights=hf://newsrex/MINER-JAX-MIND-small/seed_42/model.safetensors
@misc{newsrex2026,
title={NewsReX: An Open-Source Multi-Framework for Neural News Recommendation},
author={Igor L. R. Azevedo and Toyotaro Suzumura and Yuichiro Yasui},
year={2025},
eprint={2508.21572},
archivePrefix={arXiv},
primaryClass={cs.IR},
url={https://arxiv.org/abs/2508.21572},
}