Author

Ye-Feng Liu

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#artificial intelligence Preprint Sep 2026

What Matters for Aggressive Decoding-Time KV Eviction? Temporal Aggregation and Ranking Preservation

Across six open-weight backbones and the LongBench, LongBench-v2, and RULER benchmarks, the results identify temporal aggregation and ranking preservation as distinct, consequential design factors; they do not imply that scoring quality is irrelevant in general.

Bo Zeng, Yu Zhao, Ye-Feng Liu et al. · 0 citations

2025

Alleviating Hallucinations in Large Language Models through Multi-Model Contrastive Decoding and Dynamic Hallucination Detection

This work proposes M ulti-Model C ontrastive D ecoding (MCD), which integrates a pretrained language model with an evil model and a truthful model for contrastive decoding and effectively reduces hallucinations in LLMs and outperforms state-of-the-art methods across various benchmarks.

Chenyu Zhu, Yefeng Liu, Hao Zhang et al. · Neural Information Processin... · 7 citations