:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Nguyen, Thuy Ngoc, Jamale, Kasturi, Gonzalez, Cleotilde
Formato:	Preprint
Publicado:	2024
Materias:	Artificial Intelligence
Acceso en línea:	https://arxiv.org/abs/2407.09281
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Dynamic Theory of Mind as a Temporal Memory Problem: Evidence from Large Language Models
por: Nguyen, Thuy Ngoc, et al.
Publicado: (2026)

Measuring Implicit Spatial Coordination in Teams: Effects on Collective Intelligence and Performance
por: Nguyen, Thuy Ngoc, et al.
Publicado: (2025)

Exploring the Role of Theory of Mind in Human Decision Making: Cognitive, Spatial, and Emotional Influences in the Adversarial Rock-Paper-Scissors Game
por: Nguyen, Thuy Ngoc, et al.
Publicado: (2025)

Learning to Defend by Attacking (and Vice-Versa): Transfer of Learning in Cybersecurity Games
por: Malloy, Tailia, et al.
Publicado: (2023)

Controllable Complementarity: Subjective Preferences in Human-AI Collaboration
por: McDonald, Chase, et al.
Publicado: (2025)

VLegal-Bench: Cognitively Grounded Benchmark for Vietnamese Legal Reasoning of Large Language Models
por: Dong, Nguyen Tien, et al.
Publicado: (2025)

CoGrid & the Multi-User Gymnasium: A Framework for Multi-Agent Experimentation
por: McDonald, Chase, et al.
Publicado: (2026)

Autonomous Droplet Microfluidic Design Framework with Large Language Models
por: Nguyen, Dinh-Nguyen, et al.
Publicado: (2024)

ViCLSR: A Supervised Contrastive Learning Framework with Natural Language Inference for Natural Language Understanding Tasks
por: Van Huynh, Tin, et al.
Publicado: (2026)

Probing the Decision Boundaries of In-context Learning in Large Language Models
por: Zhao, Siyan, et al.
Publicado: (2024)

Large Language Newsvendor: Decision Biases and Cognitive Mechanisms
por: Liu, Jifei, et al.
Publicado: (2025)

Predicting Biased Human Decision-Making with Large Language Models in Conversational Settings
por: Pilli, Stephen, et al.
Publicado: (2026)

Domain-Specific Query Understanding for Automotive Applications: A Modular and Scalable Approach
por: Motiyani, Isha, et al.
Publicado: (2026)

EquiCPI: SE(3)-Equivariant Geometric Deep Learning for Structure-Aware Prediction of Compound-Protein Interactions
por: Nguyen, Ngoc-Quang
Publicado: (2025)

Software Mention Recognition with a Three-Stage Framework Based on BERTology Models at SOMD 2024
por: Thi, Thuy Nguyen, et al.
Publicado: (2024)

Decision-Focused Learning to Predict Action Costs for Planning
por: Mandi, Jayanta, et al.
Publicado: (2024)

Using Reinforcement Learning to Train Large Language Models to Explain Human Decisions
por: Zhu, Jian-Qiao, et al.
Publicado: (2025)

Large Language Models are Near-Optimal Decision-Makers with a Non-Human Learning Behavior
por: Li, Hao, et al.
Publicado: (2025)

DropMicroFluidAgents (DMFAs): Autonomous Droplet Microfluidic Research Framework Through Large Language Model Agents
por: Nguyen, Dinh-Nguyen, et al.
Publicado: (2024)

Understanding Human Actions through the Lens of Executable Models
por: Rubavicius, Rimvydas, et al.
Publicado: (2026)

Context-Aware Human Behavior Prediction Using Multimodal Large Language Models: Challenges and Insights
por: Liu, Yuchen, et al.
Publicado: (2025)

When Reasoning Meets Compression: Understanding the Effects of LLMs Compression on Large Reasoning Models
por: Zhang, Nan, et al.
Publicado: (2025)

Development of Ontological Knowledge Bases by Leveraging Large Language Models
por: Luyen, Le Ngoc, et al.
Publicado: (2026)

Learning To Guide Human Decision Makers With Vision-Language Models
por: Banerjee, Debodeep, et al.
Publicado: (2024)

Advancements in Natural Language Processing: Exploring Transformer-Based Architectures for Text Understanding
por: Wu, Tianhao, et al.
Publicado: (2025)

Cognitive LLMs: Towards Integrating Cognitive Architectures and Large Language Models for Manufacturing Decision-making
por: Wu, Siyu, et al.
Publicado: (2024)

See, Hear, and Understand: Benchmarking Audiovisual Human Speech Understanding in Multimodal Large Language Models
por: Nguyen, Le Thien Phuc, et al.
Publicado: (2025)

Concept Generalization in Humans and Large Language Models: Insights from the Number Game
por: Bazigaran, Arghavan, et al.
Publicado: (2025)

An Empirical Study on Capability of Large Language Models in Understanding Code Semantics
por: Nguyen, Thu-Trang, et al.
Publicado: (2024)

PBP: Post-training Backdoor Purification for Malware Classifiers
por: Nguyen, Dung Thuy, et al.
Publicado: (2024)

Can Large Language Models Predict the Outcome of Judicial Decisions?
por: Kmainasi, Mohamed Bayan, et al.
Publicado: (2025)

CONDESION-BENCH: Conditional Decision-Making of Large Language Models in Compositional Action Space
por: Hwang, Yeonjun, et al.
Publicado: (2026)

LARFT: Closing the Cognition-Action Gap for Length Instruction Following in Large Language Models
por: Zhang, Wei, et al.
Publicado: (2026)

Conformal Predictions for Human Action Recognition with Vision-Language Models
por: Tim, Bary, et al.
Publicado: (2025)

Understanding Mode Switching in Human-AI Collaboration: Behavioral Insights and Predictive Modeling
por: Nargund, Avinash Ajit, et al.
Publicado: (2025)

Foot In The Door: Understanding Large Language Model Jailbreaking via Cognitive Psychology
por: Wang, Zhenhua, et al.
Publicado: (2024)

SpatialText: A Pure-Text Cognitive Benchmark for Spatial Understanding in Large Language Models
por: Jiang, Peiyao, et al.
Publicado: (2026)

Enhancing Graph Attention Neural Network Performance for Marijuana Consumption Classification through Large-scale Augmented Granger Causality (lsAGC) Analysis of Functional MR Images
por: Vosoughi, Ali, et al.
Publicado: (2024)

Cognitive Mismatch in Multimodal Large Language Models for Discrete Symbol Understanding
por: Li, Yinghui, et al.
Publicado: (2026)

Cognitive Decision Routing in Large Language Models: When to Think Fast, When to Think Slow
por: Du, Y., et al.
Publicado: (2025)