Cedegao E. Zhang

According to our database1, Cedegao E. Zhang authored at least 21 papers between 2019 and 2026.

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Bibliography

2026
Cognitive Models and AI Algorithms Provide Templates for Designing Language Agents.
CoRR, February, 2026

2025
A Matter of Interest: Understanding Interestingness of Math Problems in Humans and Language Models.
CoRR, November, 2025

Code-enabled language models can outperform reasoning models on diverse tasks.
CoRR, October, 2025

People use fast, flat goal-directed simulation to reason about novel problems.
CoRR, October, 2025

Evaluating Language Models' Evaluations of Games.
CoRR, October, 2025

Language-Informed Synthesis of Rational Agent Models for Grounded Theory-of-Mind Reasoning On-the-fly.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

On the Same Wavelength? Evaluating Pragmatic Reasoning in Language Models across Broad Concepts.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Scaling up the think-aloud method.
Proceedings of the 47th Annual Meeting of the Cognitive Science Society, 2025

Modeling Open-World Cognition as On-Demand Synthesis of Probabilistic Models.
Proceedings of the 47th Annual Meeting of the Cognitive Science Society, 2025

Generation and Evaluation in the Human Invention Process through the Lens of Game Design.
Proceedings of the 47th Annual Meeting of the Cognitive Science Society, 2025

2024
Building Machines that Learn and Think with People.
CoRR, 2024

Conditional and Modal Reasoning in Large Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

People use fast, goal-directed simulation to reason about novel games.
Proceedings of the 46th Annual Meeting of the Cognitive Science Society, 2024

2023
AI for Mathematics: A Cognitive Science Perspective.
CoRR, 2023

The Neuro-Symbolic Inverse Planning Engine (NIPE): Modeling Probabilistic Social Inferences from Linguistic Inputs.
CoRR, 2023

LINC: A Neurosymbolic Approach for Logical Reasoning by Combining Language Models with First-Order Logic Provers.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Grounded physical language understanding with probabilistic programs and simulated worlds.
Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

Towards a model of confidence judgements in concept learning.
Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

2021
Does Amy Know Ben Knows You Know Your Cards? A Computational Model of Higher-Order Epistemic Reasoning.
Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

2020
A Model of Temporal Connective Acquisition.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

2019
When Do Introspection Axioms Matter for Multi-Agent Epistemic Reasoning?
Proceedings of the Proceedings Seventeenth Conference on Theoretical Aspects of Rationality and Knowledge, 2019


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