---
title: "Xueqi Cheng — papers of 2026 — 12 papers, the most cited first"
description: "Xueqi Cheng — papers of 2026: 12 papers on Elamur Research, the most cited first — what each work is about in our own words."
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# Xueqi Cheng — papers of 2026 — 12 papers, the most cited first

12 papers · [all years of Xueqi Cheng](https://md.research.elamur.ai/free/en/authors/xueqi-cheng/#years)

**[The Evolution of Thought: Tracking LLM Overthinking via Reasoning Dynamics Analysis](https://md.research.elamur.ai/free/en/papers/wei-2026-evolution-thought-tracking-llm-overthinking/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zihao Wei, Liang Pang, Jiahao Liu, et al.*2026 · 6 citations*

**[Gated Differentiable Working Memory for Long-Context Language Modeling](https://md.research.elamur.ai/free/en/papers/mei-2026-gated-differentiable-working-memory-long/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Lingrui Mei, Shenghua Liu, Yiwei Wang, et al.*2026 · 4 citations*

**[HiddenGuard: Fine-Grained Safe Generation with Specialized Representation Router](https://md.research.elamur.ai/free/en/papers/mei-2026-hiddenguard-fine-grained-safe-generation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Lingrui Mei, Shenghua Liu, Yiwei Wang, et al.*2026 · 4 citations*

**[a1: Steep Test-time Scaling Law via Environment Augmented Generation](https://md.research.elamur.ai/free/en/papers/mei-2026-a1-steep-test-time-scaling/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Lingrui Mei, Shenghua Liu, Yiwei Wang, et al.*2026 · 2 citations*

**[Beyond Dialogue Time: Temporal Semantic Memory for Personalized LLM Agents](https://md.research.elamur.ai/free/en/papers/su-2026-beyond-dialogue-time-temporal-semantic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Miao Su, Yucan Guo, Zhongni Hou, et al.*2026 · 2 citations*

**[BaseCal: Unsupervised Confidence Calibration via Base Model Signals](https://md.research.elamur.ai/free/en/papers/tan-2026-basecal-unsupervised-confidence-calibration-base/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hexiang Tan, Wanli Yang, Junwei Zhang, et al.*2026 · 1 citation*

**[Iterative Structured Pruning for Large Language Models with Multi-Domain Calibration](https://md.research.elamur.ai/free/en/papers/wu-2026-iterative-structured-pruning-large-language/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Guangxin Wu, Hao Zhang, Zhang Zhibin, et al.*2026 · 1 citation*

**[An Iterative Utility Judgment Framework Inspired by Philosophical Relevance via LLMs](https://md.research.elamur.ai/free/en/papers/zhang-2026-iterative-utility-judgment-framework-inspired/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hengran Zhang, Keping Bi, Jiafeng Guo, et al.*2026*

**[Detoxification for LLM: From Dataset Itself](https://md.research.elamur.ai/free/en/papers/shao-2026-detoxification-llm-dataset-itself/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wei Shao, Yihang Wang, Gao yu Zhu, et al.*2026*

**[Distilling Large Embeddings via Hyperspherical Householder Quantization](https://md.research.elamur.ai/free/en/papers/wang-2026-distilling-large-embeddings-hyperspherical-householder/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yihang Wang, Bin Wu, Yueyang Su, et al.*2026*

**[Do We Always Need Query-Level Workflows? Rethinking Agentic Workflow Generation for Multi-Agent Systems](https://md.research.elamur.ai/free/en/papers/wang-2026-do-we-always-need-query/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zixu Wang, Bingbing Xu, Yige Yuan, et al.*2026*

**[Stop Hardening Everything: A Training-Free Neuron-Level Defense for Neural Ranking Models](https://md.research.elamur.ai/free/en/papers/liu-2026-stop-hardening-everything-training-free/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yu-An Liu, Ruqing Zhang, Hongru Song, et al.*2026*