Cognitive Modeling

Towards a Formal Theory of Representational Compositionality ICML 2025 Towards an operative definition of creative writing: a preliminary assessment of creativeness in AI and human texts COLING 2025 TRACE: Real-Time Multimodal Common Ground Tracking in Situated Collaborative Dialogues NAACL 2025 Understanding LLMs’ Fluid Intelligence Deficiency: An Analysis of the ARC Task NAACL 2025 Understanding the Thinking Process of Reasoning Models: A Perspective from Schoenfeld’s Episode Theory EMNLP 2025 What does memory retrieval leave on the table? Modelling the Cost of Semi-Compositionality with MINERVA2 and sBERT CoNLL 2025 Who We Are, Where We Are: Mental Health at the Intersection of Person, Situation, and Large Language Models NAACL 2025 AbsInstruct: Eliciting Abstraction Ability from LLMs through Explanation Tuning with Plausibility Estimation ACL 2024 A Framework for Inference Inspired by Human Memory Mechanisms ICLR 2024 A Local-Ascending-Global Learning Strategy for Brain-Computer Interface AAAI 2024 A Newborn Embodied Turing Test for Comparing Object Segmentation Across Animals and Machines ICLR 2024 Are BabyLMs Second Language Learners? CoNLL 2024 A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks ICLR 2024 A Unifying Normative Framework of Decision Confidence NeurIPS 2024 Binding in hippocampal-entorhinal circuits enables compositionality in cognitive maps NeurIPS 2024 Bridging semantics and pragmatics in information-theoretic emergent communication NeurIPS 2024 Bridging the Semantic Latent Space between Brain and Machine: Similarity Is All You Need AAAI 2024 Characterizing Similarities and Divergences in Conversational Tones in Humans and LLMs by Sampling with People ACL 2024 Closely Interactive Human Reconstruction with Proxemics and Physics-Guided Adaption CVPR 2024 CogGPT: Unleashing the Power of Cognitive Dynamics on Large Language Models EMNLP 2024 Comparing Inferential Strategies of Humans and Large Language Models in Deductive Reasoning ACL 2024 Content Matters: A Computational Investigation into the Effectiveness of Retrieval Practice and Worked Examples (Extended Abstract) IJCAI 2024 Counter-Current Learning: A Biologically Plausible Dual Network Approach for Deep Learning NeurIPS 2024 DevBench: A multimodal developmental benchmark for language learning NeurIPS 2024 Development of Cognitive Intelligence in Pre-trained Language Models EMNLP 2024