---
title: "Bill Byrne — papers of 2026 — 4 papers, the most cited first"
description: "Bill Byrne — papers of 2026: 4 papers on Elamur Research, the most cited first — what each work is about in our own words."
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# Bill Byrne — papers of 2026 — 4 papers, the most cited first

4 papers · [all years of Bill Byrne](https://md.research.elamur.ai/free/en/authors/bill-byrne/#years)

**[Benchmarking Deflection and Hallucination in Large Vision-Language Models](https://md.research.elamur.ai/free/en/papers/moratelli-2026-benchmarking-deflection-hallucination-large-vision/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Nicholas Moratelli, Christopher Davis, Leonardo F. R. Ribeiro, et al.*2026*

**[Exploring Fine-Tuning for In-Context Retrieval and Efficient KV-Caching in Long-Context Language Models](https://md.research.elamur.ai/free/en/papers/molfese-2026-exploring-fine-tuning-context-retrieval/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Francesco Maria Molfese, Momchil Hardalov, Rexhina Blloshmi, et al.*2026*

**[Retrieval-Augmented Defense: Adaptive and Controllable Jailbreak Prevention for Large Language Models](https://md.research.elamur.ai/free/en/papers/yang-2026-retrieval-augmented-defense-adaptive-controllable/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Guangyu Yang, Jinghong Chen, Jingbiao Mei, et al.*2026*

**[What Does LLM Refinement Actually Improve? A Systematic Study on Document-Level Literary Translation](https://md.research.elamur.ai/free/en/papers/tan-2026-what-does-llm-refinement-actually/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shaomu Tan, Dawei Zhu, Ke Tran, et al.*2026*