Author

Heng Ji

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#natural language process... Mar 2026

Learning to Predict Future-Aligned Research Proposals with Language Models

This work reframing proposal generation as a time-sliced scientific forecasting problem, given a research question and inspiring papers available before a cutoff time, and operationalizes this objective with the Future Alignment Score (FAS), computed via retrieval and LLM-based semantic scoring against a held-out futur...

Heng Wang, Pengcheng Jiang, Jiashuo Sun et al. · arXiv.org · 5 citations

#natural language process... Preprint Sep 2026

Random Attention: Rethinking KV Cache Eviction for Efficient Reasoning

Random Attention keeps the prompt and evicts uniformly at random within each attention head, computing no score at all; across four models and six reasoning tasks, it matches the strongest baseline in task performance while delivering 32-43% higher throughput than that method when deployed with vLLM.

Heng-Yi Wang, Jie-Lin Qiu, Wenting Zhao et al. · 0 citations

Preprint Aug 2026

AI4AI at Test-Time: Strong-to-Weak Capability Transfer via Harnesses

It is suggested that inference-time harness design is an important complement to conventional training-time distillation, enabling strong models to transfer cognitive structure to weaker models without retraining.

Cheng Qian, Wenting Zhao, Liang-Wei Yang et al. · 5 citations