---
title: "Timothy Baldwin — papers of 2025 — Elamur Research"
description: "Timothy Baldwin — papers of 2025: 6 papers on Elamur Research, the most cited first — what each work is about in our own words."
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---
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# Timothy Baldwin — papers of 2025 — Elamur Research

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

**[Benchmarking Uncertainty Quantification Methods for Large Language Models with LM-Polygraph](https://md.research.elamur.ai/free/en/papers/vashurin-2025-benchmarking-uncertainty-quantification-methods-large/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Roman Vashurin, Ekaterina Fadeeva, Artem Vazhentsev, et al.*2025 · 67 citations*

**[Large Language Models Are Human-Like Internally](https://md.research.elamur.ai/free/en/papers/kuribayashi-2025-large-language-models-are-human/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Tatsuki Kuribayashi, Yohei Oseki, Souhaib Ben Taieb, et al.*2025 · 30 citations*

**[Arabic Dataset for LLM Safeguard Evaluation](https://md.research.elamur.ai/free/en/papers/ashraf-2025-arabic-dataset-llm-safeguard-evaluation/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Yasser Ashraf, Yuxia Wang, Bin Gu, et al.*2025 · 22 citations*

**[Token-Level Density-Based Uncertainty Quantification Methods for Eliciting Truthfulness of Large Language Models](https://md.research.elamur.ai/free/en/papers/vazhentsev-2025-token-level-density-based-uncertainty/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Artem Vazhentsev, Lyudmila Rvanova, Ivan Lazichny, et al.*2025 · 13 citations*

**[Unconditional Truthfulness: Learning Unconditional Uncertainty of Large Language Models](https://md.research.elamur.ai/free/en/papers/vazhentsev-2025-unconditional-truthfulness-learning-unconditional-uncertainty/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Artem Vazhentsev, Ekaterina Fadeeva, Rui Xing, et al.*2025 · 10 citations*

**[BiMediX2 : Bio-Medical EXpert LMM for Diverse Medical Modalities](https://md.research.elamur.ai/free/en/papers/mullappilly-2025-bimedix2-bio-medical-expert-lmm/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Sahal Shaji Mullappilly, Mohammed Irfan Kurpath, Sara Pieri, et al.*2025 · 5 citations*