Cover Image

Non-literal Understanding of Number Words by Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tsvilodub, Polina, Gandhi, Kanishk, Zhao, Haoran, Fränken, Jan-Philipp, Franke, Michael, Goodman, Noah D.
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Procedural Dilemma Generation for Evaluating Moral Reasoning in Humans and Language Models
by: Fränken, Jan-Philipp, et al.
Published: (2024)

Self-Supervised Alignment with Mutual Information: Learning to Follow Principles without Preference Labels
by: Fränken, Jan-Philipp, et al.
Published: (2024)

Bayesian Statistical Modeling with Predictors from LLMs
by: Franke, Michael, et al.
Published: (2024)

Cognitive Modeling with Scaffolded LLMs: A Case Study of Referential Expression Generation
by: Tsvilodub, Polina, et al.
Published: (2024)

Integrating Neural and Symbolic Components in a Model of Pragmatic Question-Answering
by: Tsvilodub, Polina, et al.
Published: (2025)

Learning to Simulate Human Dialogue
by: Gandhi, Kanishk, et al.
Published: (2026)

On Emergent Social World Models -- Evidence for Functional Integration of Theory of Mind and Pragmatic Reasoning in Language Models
by: Tsvilodub, Polina, et al.
Published: (2026)

Human-like Affective Cognition in Foundation Models
by: Gandhi, Kanishk, et al.
Published: (2024)

Predictions from language models for multiple-choice tasks are not robust under variation of scoring methods
by: Tsvilodub, Polina, et al.
Published: (2024)

STaR-GATE: Teaching Language Models to Ask Clarifying Questions
by: Andukuri, Chinmaya, et al.
Published: (2024)

Act or Clarify? Modeling Sensitivity to Uncertainty and Cost in Communication
by: Tsvilodub, Polina, et al.
Published: (2026)

Endless Terminals: Scaling RL Environments for Terminal Agents
by: Gandhi, Kanishk, et al.
Published: (2026)

Experimental Pragmatics with Machines: Testing LLM Predictions for the Inferences of Plain and Embedded Disjunctions
by: Tsvilodub, Polina, et al.
Published: (2024)

Cognitive Behaviors that Enable Self-Improving Reasoners, or, Four Habits of Highly Effective STaRs
by: Gandhi, Kanishk, et al.
Published: (2025)

Psychometric Alignment: Capturing Human Knowledge Distributions via Language Models
by: He-Yueya, Joy, et al.
Published: (2024)

Stream of Search (SoS): Learning to Search in Language
by: Gandhi, Kanishk, et al.
Published: (2024)

Scaling up the think-aloud method
by: Wurgaft, Daniel, et al.
Published: (2025)

Automated Statistical Model Discovery with Language Models
by: Li, Michael Y., et al.
Published: (2024)

From Next-Token to Mathematics: The Learning Dynamics of Mathematical Reasoning in Language Models
by: Mishra, Shubhra, et al.
Published: (2024)

Evaluating and Optimizing Educational Content with Large Language Model Judgments
by: He-Yueya, Joy, et al.
Published: (2024)

Is Child-Directed Speech Effective Training Data for Language Models?
by: Feng, Steven Y., et al.
Published: (2024)

Large Language Model Reasoning Failures
by: Song, Peiyang, et al.
Published: (2026)

CriticAL: Critic Automation with Language Models
by: Li, Michael Y., et al.
Published: (2024)

Integrating Symbolic Natural Language Understanding and Language Models for Word Sense Disambiguation
by: Zhao, Kexin, et al.
Published: (2025)

Bifocal Attention: Harmonizing Geometric and Spectral Positional Embeddings for Algorithmic Generalization
by: Awadhiya, Kanishk
Published: (2026)

Words at Play: Benchmarking Audio Pun Understanding in Large Audio-Language Models
by: Su, Yuchen, et al.
Published: (2026)

Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Thought
by: Xiang, Violet, et al.
Published: (2025)

Large Language Models Lack Understanding of Character Composition of Words
by: Shin, Andrew, et al.
Published: (2024)

Benchmarking Vision Language Models for Cultural Understanding
by: Nayak, Shravan, et al.
Published: (2024)

Can Language Model Understand Word Semantics as A Chatbot? An Empirical Study of Language Model Internal External Mismatch
by: Zhao, Jinman, et al.
Published: (2024)

Do Large Language Models Understand Word Senses?
by: Meconi, Domenico, et al.
Published: (2025)

Typoglycemia under the Hood: Investigating Language Models' Understanding of Scrambled Words
by: Sperduti, Gianluca, et al.
Published: (2025)

Number Cookbook: Number Understanding of Language Models and How to Improve It
by: Yang, Haotong, et al.
Published: (2024)

PERSONA: A Reproducible Testbed for Pluralistic Alignment
by: Castricato, Louis, et al.
Published: (2024)

Bayesian Preference Elicitation with Language Models
by: Handa, Kunal, et al.
Published: (2024)

pyvene: A Library for Understanding and Improving PyTorch Models via Interventions
by: Wu, Zhengxuan, et al.
Published: (2024)

Hypothesis Search: Inductive Reasoning with Language Models
by: Wang, Ruocheng, et al.
Published: (2023)

Learning to Compress Prompts with Gist Tokens
by: Mu, Jesse, et al.
Published: (2023)

Tug-of-war between idioms' figurative and literal interpretations in LLMs
by: Oh, Soyoung, et al.
Published: (2025)

Probing Language Models' Gesture Understanding for Enhanced Human-AI Interaction
by: Wicke, Philipp
Published: (2024)