Copertina

Human-like Working Memory Interference in Large Language Models

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Xiong, Hua-Dong, Ji-An, Li, Huang, Jiaqi, Wilson, Robert C., Lee, Kwonjoon, Wei, Xue-Xin
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Machine Learning Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Large language models reorganize representational geometry during in-context learning
di: Xiong, Hua-Dong, et al.
Pubblicazione: (2026)

Learning to Forget: Sleep-Inspired Memory Consolidation for Resolving Proactive Interference in Large Language Models
di: Xie, Ying
Pubblicazione: (2026)

Zer0-Jack: A Memory-efficient Gradient-based Jailbreaking Method for Black-box Multi-modal Large Language Models
di: Chen, Tiejin, et al.
Pubblicazione: (2024)

ViCor: Bridging Visual Understanding and Commonsense Reasoning with Large Language Models
di: Zhou, Kaiwen, et al.
Pubblicazione: (2023)

Emerging Human-like Strategies for Semantic Memory Foraging in Large Language Models
di: Lacosse, Eric, et al.
Pubblicazione: (2026)

MetaState: Persistent Working Memory Enhances Reasoning in Discrete Diffusion Language Models
di: Xia, Kejing, et al.
Pubblicazione: (2026)

Beyond Labels: Aligning Large Language Models with Human-like Reasoning
di: Kabir, Muhammad Rafsan, et al.
Pubblicazione: (2024)

Aligning Agents like Large Language Models
di: Jelley, Adam, et al.
Pubblicazione: (2024)

GFlowVLM: Enhancing Multi-step Reasoning in Vision-Language Models with Generative Flow Networks
di: Kang, Haoqiang, et al.
Pubblicazione: (2025)

Human-like Category Learning by Injecting Ecological Priors from Large Language Models into Neural Networks
di: Jagadish, Akshay K., et al.
Pubblicazione: (2024)

Scaffold-Conditioned Preference Triplets for Controllable Molecular Optimization with Large Language Models
di: Xiong, Yi, et al.
Pubblicazione: (2026)

A Comparative Study of Machine Learning Models for Hourly Forecasting of Air Temperature and Relative Humidity
di: Dong, Jiaqi
Pubblicazione: (2026)

Larimar: Large Language Models with Episodic Memory Control
di: Das, Payel, et al.
Pubblicazione: (2024)

Human-like Cognitive Generalization for Large Models via Brain-in-the-loop Supervision
di: Chen, Jiaxuan, et al.
Pubblicazione: (2025)

Internalizing Meta-Experience into Memory for Guided Reinforcement Learning in Large Language Models
di: Huang, Shiting, et al.
Pubblicazione: (2026)

Structured Agent Distillation for Large Language Model
di: Liu, Jun, et al.
Pubblicazione: (2025)

LiveOIBench: Can Large Language Models Outperform Human Contestants in Informatics Olympiads?
di: Zou, Kaijian, et al.
Pubblicazione: (2025)

MemGuard: Preventing Memory Contamination in Long-Term Memory-Augmented Large Language Models
di: Ha, Hyeonjeong, et al.
Pubblicazione: (2026)

Language Models Are Capable of Metacognitive Monitoring and Control of Their Internal Activations
di: Ji-An, Li, et al.
Pubblicazione: (2025)

CoSA: Compressed Sensing-Based Adaptation of Large Language Models
di: Wei, Songtao, et al.
Pubblicazione: (2026)

Inducing Human-like Biases in Moral Reasoning Language Models
di: Karpov, Artem, et al.
Pubblicazione: (2024)

Provable Training Data Identification for Large Language Models
di: Liu, Zhenlong, et al.
Pubblicazione: (2025)

How Do Diffusion Models Improve Adversarial Robustness?
di: Yuezhang, Liu, et al.
Pubblicazione: (2025)

Large Language Models as Model Organisms for Human Associative Learning
di: Kolling, Camila, et al.
Pubblicazione: (2025)

Temporal Latent Variable Structural Causal Model for Causal Discovery under External Interferences
di: Cai, Ruichu, et al.
Pubblicazione: (2025)

Diagnosing and Mitigating Modality Interference in Multimodal Large Language Models
di: Cai, Rui, et al.
Pubblicazione: (2025)

Synthesizing Programmatic Reinforcement Learning Policies with Large Language Model Guided Search
di: Liu, Max, et al.
Pubblicazione: (2024)

Towards Green AI in Fine-tuning Large Language Models via Adaptive Backpropagation
di: Huang, Kai, et al.
Pubblicazione: (2023)

Learning Safety Constraints for Large Language Models
di: Chen, Xin, et al.
Pubblicazione: (2025)

Contact-Aware Amodal Completion for Human-Object Interaction via Multi-Regional Inpainting
di: Chi, Seunggeun, et al.
Pubblicazione: (2025)

Disentangling Logic: The Role of Context in Large Language Model Reasoning Capabilities
di: Hua, Wenyue, et al.
Pubblicazione: (2024)

Towards General Continuous Memory for Vision-Language Models
di: Wu, Wenyi, et al.
Pubblicazione: (2025)

AlignedCoT: Prompting Large Language Models via Native-Speaking Demonstrations
di: Yang, Zhicheng, et al.
Pubblicazione: (2023)

Iterative Preference Learning from Human Feedback: Bridging Theory and Practice for RLHF under KL-Constraint
di: Xiong, Wei, et al.
Pubblicazione: (2023)

Language Model Memory and Memory Models for Language
di: Badger, Benjamin L.
Pubblicazione: (2026)

A Nurse is Blue and Elephant is Rugby: Cross Domain Alignment in Large Language Models Reveal Human-like Patterns
di: Yehudai, Asaf, et al.
Pubblicazione: (2024)

Needle in the Haystack for Memory Based Large Language Models
di: Nelson, Elliot, et al.
Pubblicazione: (2024)

Think Before You Act: Decision Transformers with Working Memory
di: Kang, Jikun, et al.
Pubblicazione: (2023)

Aligning Large Vision-Language Models by Deep Reinforcement Learning and Direct Preference Optimization
di: Nguyen, Thanh Thi, et al.
Pubblicazione: (2025)

Textual Aesthetics in Large Language Models
di: Jiang, Lingjie, et al.
Pubblicazione: (2024)