Author

Zhongheng Wu

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#artificial intelligence Preprint Sep 2026

T-RoPE: Time-Aware Rotary Position Embedding for Sequential Recommendation

Large-scale recommenders increasingly adopt the sequential generative recipe behind large language models, bringing the Transformer into recommendation along with design choices made for text, including Rotary Position Embedding (RoPE). In language models, RoPE encodes token indices for relative position reasoning, but...

Yang Liu, Noel Loo, Ali Khanafer et al. · 0 citations

Jul 2026

Not All Tokens Deserve Equal Credit: Counterfactual Sensitivity Credit Reallocation for Long-CoT Reasoning

These findings show that privileged shifts fail to provide reliable answer-aligned directions, while their magnitudes primarily reflect counterfactual sensitivity rather than token-level learning value, and propose Counterfactual Sensitivity Credit Reallocation (CSCR), a simple extension of GRPO that reduces credit for...

Qiang-Qiang He, Zhong-Heng Wu, Zi-Jian Wang · arXiv.org · 0 citations