---
title: "Wei Li — papers of 2026 — 5 papers, the most cited first"
description: "Wei Li — papers of 2026: 5 papers on Elamur Research, the most cited first — what each work is about in our own words."
canonical: "https://research.elamur.ai/free/en/authors/wei-li/year/2026/"
---
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# Wei Li — papers of 2026 — 5 papers, the most cited first

5 papers · [all years of Wei Li](https://md.research.elamur.ai/free/en/authors/wei-li/#years)

**[MMSearch-R1: Incentivizing LMMs to Search](https://md.research.elamur.ai/free/en/papers/wu-2026-mmsearch-r1-incentivizing-lmms-search/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jinming Wu, Zihao Deng, Wei Li, et al.*2026 · 16 citations*

**[Multi-Granularity Semantic Revision for Large Language Model Distillation](https://md.research.elamur.ai/free/en/papers/liu-2026-multi-granularity-semantic-revision-large/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiaoyu Liu, Yun Zhang, Wei Li, et al.*2026 · 2 citations*

- [The Hrunting of AI: Where and How to Improve English Dialectal Fairness arXiv:2603.15187](https://md.research.elamur.ai/free/en/papers/li-2026-hrunting-ai-where-improve-english/) — Wei Li, Adrian de Wynter · 2026 · 1 citation

**[iTAG: Inverse Design for Natural Text Generation with Accurate Causal Graph Annotations](https://md.research.elamur.ai/free/en/papers/wang-2026-itag-inverse-design-natural-text/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wenshuo Wang, Boyu Cao, Nan Zhuang, et al.*2026*

**[Two Pathways to Truthfulness: On the Intrinsic Encoding of LLM Hallucinations](https://md.research.elamur.ai/free/en/papers/luo-2026-two-pathways-truthfulness-intrinsic-encoding/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wen Luo, Guangyue Peng, Wei Li, et al.*2026*
