---
title: "Barbara Plank — papers of 2024 — 5 papers, the most cited first"
description: "Barbara Plank — papers of 2024: 5 papers on Elamur Research, the most cited first — what each work is about in our own words."
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# Barbara Plank — papers of 2024 — 5 papers, the most cited first

5 papers · [all years of Barbara Plank](https://md.research.elamur.ai/free/en/authors/barbara-plank/#years)

**[“My Answer is C”: First-Token Probabilities Do Not Match Text Answers in Instruction-Tuned Language Models](https://md.research.elamur.ai/free/en/papers/wang-2024-my-answer-is-c-first/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xinpeng Wang, Bolei Ma, Chengzhi Hu, et al.*2024 · 91 citations*

- [Beyond Accuracy: Evaluating the Reasoning Behavior of Large Language Models — A Survey arXiv:2404.01869](https://md.research.elamur.ai/free/en/papers/mondorf-2024-accuracy-evaluating-reasoning-behavior-large/) — Philipp Mondorf, Barbara Plank · 2024 · 53 citations

**[VariErr NLI: Separating Annotation Error from Human Label Variation](https://md.research.elamur.ai/free/en/papers/genzel-2024-varierr-nli-separating-annotation-error/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Leon Weber-Genzel, Siyao Peng, Marie-Catherine De Marneffe, et al.*2024 · 51 citations*

**[“Seeing the Big through the Small”: Can LLMs Approximate Human Judgment Distributions on NLI from a Few Explanations?](https://md.research.elamur.ai/free/en/papers/chen-2024-seeing-big-through-small-can/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Beiduo Chen, Xinpeng Wang, Siyao Peng, et al.*2024 · 18 citations*

**[More Labels or Cases? Assessing Label Variation in Natural Language Inference](https://md.research.elamur.ai/free/en/papers/gruber-2024-more-labels-or-cases-assessing/) [Workshop on Understanding Implicit and Underspecified Language](https://md.research.elamur.ai/free/en/venues/unimplicit/)**Cornelia Gruber, Katharina Hechinger, Matthias Assenmacher, et al.*2024 · 8 citations*