Probing neural language models for understanding of words of estimative
probability

v1v2 (latest)

Probing neural language models for understanding of words of estimative probability

7 November 2022

Marie-Francine Moens

ArXiv (abs)PDF HTML HuggingFace (1 upvotes)

Papers citing "Probing neural language models for understanding of words of estimative probability"

8 / 8 papers shown

Title
Representations of Fact, Fiction and Forecast in Large Language Models: Epistemics and AttitudesAnnual Meeting of the Association for Computational Linguistics (ACL), 2025 Meng Li Michael Vrazitulis David Schlangen 221 0 0 02 Jun 2025
Logic Haystacks: Probing LLMs Long-Context Logical Reasoning (Without Easily Identifiable Unrelated Padding) Damien Sileo RALM LRM 240 1 0 24 Feb 2025
Epistemic Integrity in Large Language Models Bijean Ghafouri Shahrad Mohammadzadeh James Zhou Pratheeksha Nair Jacob-Junqi Tian ... Mayank Goel Sukanya Krishna Reihaneh Rabbany Jean-Francois Godbout Kellin Pelrine HILM 360 3 0 10 Nov 2024
QUITE: Quantifying Uncertainty in Natural Language Text in Bayesian Reasoning ScenariosConference on Empirical Methods in Natural Language Processing (EMNLP), 2024 Timo Pierre Schrader Lukas Lange Simon Razniewski Annemarie Friedrich UQLM 276 4 0 14 Oct 2024
Perceptions of Linguistic Uncertainty by Language Models and Humans Catarina G Belém Markelle Kelly M. Steyvers Sameer Singh Padhraic Smyth 256 9 0 22 Jul 2024
Scaling Synthetic Logical Reasoning Datasets with Context-Sensitive Declarative Grammars Damien Sileo LRM ReLM 280 5 0 16 Jun 2024
An Evaluation of Estimative Uncertainty in Large Language Models Zhi–Bin Tang Ke Shen Mayank Kejriwal ELM 154 10 0 24 May 2024
MindGames: Targeting Theory of Mind in Large Language Models with Dynamic Epistemic Modal LogicConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 Damien Sileo Antoine Lernould LRM 149 31 0 05 May 2023