newsrex/LSTUR-JAX-MIND-small

NewsReX LSTUR — JAX — MIND-small

LSTUR news recommendation model trained on MIND-small using the NewsReX framework (JAX).

Test Results

Seed	AUC	MRR	NDCG@5	NDCG@10
123 *	0.6703	0.3170	0.3535	0.4167
42	0.6642	0.3131	0.3471	0.4110
456	0.6686	0.3214	0.3562	0.4190
mean ± std	0.6677±0.0026	0.3172±0.0034	0.3523±0.0038	0.4156±0.0034

* Best seed (weights at repo root)

Repository Structure

newsrex/LSTUR-JAX-MIND-small/
├── model.safetensors          ← best seed (123)
├── test_results.json
├── training_run_summary.json
├── seed_123/model.safetensors
├── seed_42/model.safetensors
├── seed_456/model.safetensors
└── README.md

Usage

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/lstur \
    framework=jax \
    weights=hf://newsrex/LSTUR-JAX-MIND-small/model.safetensors

# Run evaluation with a specific seed
uv run python src/eval.py \
    experiment=mind/lstur \
    framework=jax \
    weights=hf://newsrex/LSTUR-JAX-MIND-small/seed_42/model.safetensors

Citation

@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},
}