---
title: "William Yang Wang — papers of 2023 — Elamur Research"
description: "William Yang Wang — papers of 2023: 7 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/william-yang-wang/year/2023/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/william-yang-wang/year/2023/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [William Yang Wang](https://md.research.elamur.ai/free/en/authors/william-yang-wang/) / 2023

# William Yang Wang — papers of 2023 — Elamur Research

7 papers · [all years of William Yang Wang](https://md.research.elamur.ai/free/en/authors/william-yang-wang/#years)

- [Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning arXiv:2305.12295](https://md.research.elamur.ai/free/en/papers/pan-2023-logic-lm-empowering-large-language/) — Liangming Pan, Alon Albalak, Xinyi Wang, et al. · 2023 · 374 citations

**[Fact-Checking Complex Claims with Program-Guided Reasoning](https://md.research.elamur.ai/free/en/papers/pan-2023-fact-checking-complex-claims-program/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Liangming Pan, Xiaobao Wu, Xinyuan Lu, et al.*2023 · 146 citations*

**[Large Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context Learning](https://md.research.elamur.ai/free/en/papers/wang-2023-large-language-models-latent-variable/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Xinyi Wang, Wanrong Zhu, Michael Saxon, et al.*2023 · 116 citations*

- [Shadow Alignment: The Ease of Subverting Safely-Aligned Language Models arXiv:2310.02949](https://md.research.elamur.ai/free/en/papers/yang-2023-shadow-alignment-ease-subverting-safely/) — Xianjun Yang, Xiao Wang, Qi Zhang, et al. · 2023 · 103 citations
- [Efficient Online Data Mixing For Language Model Pre-Training arXiv:2312.02406](https://md.research.elamur.ai/free/en/papers/albalak-2023-efficient-online-data-mixing-language/) — Alon Albalak, Liangming Pan, Colin Raffel, et al. · 2023 · 35 citations
- [ALGO: Synthesizing Algorithmic Programs with LLM-Generated Oracle Verifiers arXiv:2305.14591](https://md.research.elamur.ai/free/en/papers/zhang-2023-algo-synthesizing-algorithmic-programs-llm/) — Kexun Zhang, Danqing Wang, Jingtao Xia, et al. · 2023 · 19 citations

**[PECO: Examining Single Sentence Label Leakage in Natural Language Inference Datasets through Progressive Evaluation of Cluster Outliers](https://md.research.elamur.ai/free/en/papers/saxon-2023-peco-examining-single-sentence-label/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Michael Saxon, Xinyi Wang, Wenda Xu, et al.*2023 · 9 citations*