---
title: "Timothy Baldwin — papers of 2023 — Elamur Research"
description: "Timothy Baldwin — papers of 2023: 6 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/timothy-baldwin/year/2023/"
---
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# Timothy Baldwin — papers of 2023 — Elamur Research

6 papers · [all years of Timothy Baldwin](https://md.research.elamur.ai/free/en/authors/timothy-baldwin/#years)

- [CMMLU: Measuring massive multitask language understanding in Chinese arXiv:2306.09212](https://md.research.elamur.ai/free/en/papers/li-2023-cmmlu-measuring-massive-multitask-language/) — Haonan Li, Yixuan Zhang, Fajri Koto, et al. · 2023 · 387 citations

**[Factuality Challenges in the Era of Large Language Models](https://md.research.elamur.ai/free/en/papers/augenstein-2023-factuality-challenges-era-large-language/) [Nature Machine Intelligence](https://md.research.elamur.ai/free/en/venues/nature-machine-intelligence/)**Isabelle Augenstein, Timothy Baldwin, Meeyoung Cha, et al.*2023 · 243 citations*

**[NusaX: Multilingual Parallel Sentiment Dataset for 10 Indonesian Local Languages](https://md.research.elamur.ai/free/en/papers/winata-2023-nusax-multilingual-parallel-sentiment-dataset/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Genta Indra Winata, Alham Fikri Aji, Samuel Cahyawijaya, et al.*2023 · 130 citations*

- [Bactrian-X: Multilingual Replicable Instruction-Following Models with Low-Rank Adaptation arXiv:2305.15011](https://md.research.elamur.ai/free/en/papers/li-2023-bactrian-x-multilingual-replicable-instruction/) — Haonan Li, Fajri Koto, Minghao Wu, et al. · 2023 · 96 citations
- [Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs arXiv:2308.13387](https://md.research.elamur.ai/free/en/papers/wang-2023-answer-dataset-evaluating-safeguards-llms/) — Yuxia Wang, Haonan Li, Xudong Han, et al. · 2023 · 78 citations

**[Language models are not naysayers: An analysis of language models on negation benchmarks](https://md.research.elamur.ai/free/en/papers/truong-2023-language-models-naysayers-analysis-language/) [Joint Conference on Lexical and Computational Semantics (*SEM)](https://md.research.elamur.ai/free/en/venues/starsem/)**Thinh Hung Truong, Timothy Baldwin, Karin Verspoor, et al.*2023 · 78 citations*