:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhou, Pengcheng, Feng, Yinglun, Julaiti, Halimulati, Yang, Zhongliang
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Artificial Intelligence
Accesso online:	https://arxiv.org/abs/2506.02739
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Privacy-Aware RAG: Secure and Isolated Knowledge Retrieval
di: Zhou, Pengcheng, et al.
Pubblicazione: (2025)

Provably Secure Retrieval-Augmented Generation
di: Zhou, Pengcheng, et al.
Pubblicazione: (2025)

FactorEngine: A Program-level Knowledge-Infused Factor Mining Framework for Quantitative Investment
di: Lin, Qinhong, et al.
Pubblicazione: (2026)

Interactive Machine Learning: From Theory to Scale
di: Zhu, Yinglun
Pubblicazione: (2025)

Adaptive Test-Time Compute Allocation with Evolving In-Context Demonstrations
di: Zuo, Bowen, et al.
Pubblicazione: (2026)

Can AI and humans genuinely communicate?
di: Bonard, Constant
Pubblicazione: (2024)

RE-Bench: Evaluating frontier AI R&D capabilities of language model agents against human experts
di: Wijk, Hjalmar, et al.
Pubblicazione: (2024)

Towards Multimodal Active Learning: Efficient Learning with Limited Paired Data
di: Zhang, Jiancheng, et al.
Pubblicazione: (2025)

Online Finetuning Decision Transformers with Pure RL Gradients
di: Luo, Junkai, et al.
Pubblicazione: (2026)

AI-AI Bias: large language models favor communications generated by large language models
di: Laurito, Walter, et al.
Pubblicazione: (2024)

Strategic Scaling of Test-Time Compute: A Bandit Learning Approach
di: Zuo, Bowen, et al.
Pubblicazione: (2025)

Why human-AI relationships need socioaffective alignment
di: Kirk, Hannah Rose, et al.
Pubblicazione: (2025)

Multi-agent AI systems outperform human teams in creativity
di: Hu, Tiancheng, et al.
Pubblicazione: (2026)

Active Testing of Large Language Models via Approximate Neyman Allocation
di: Liu, Zeli, et al.
Pubblicazione: (2026)

How can we assess human-agent interactions? Case studies in software agent design
di: Chen, Valerie, et al.
Pubblicazione: (2025)

Single-agent or Multi-agent Systems? Why Not Both?
di: Gao, Mingyan, et al.
Pubblicazione: (2025)

Universal Black-Box Reward Poisoning Attack against Offline Reinforcement Learning
di: Xu, Yinglun, et al.
Pubblicazione: (2024)

Label-Confidence-Aware Uncertainty Estimation in Natural Language Generation
di: Lin, Qinhong, et al.
Pubblicazione: (2024)

Artificial Agency Program: Curiosity, compression, and communication in agents
di: Csaky, Richard
Pubblicazione: (2026)

Simulated patient systems powered by large language model-based AI agents offer potential for transforming medical education
di: Yu, Huizi, et al.
Pubblicazione: (2024)

Aligning LLM agents with human learning and adjustment behavior: a dual agent approach
di: Liu, Tianming, et al.
Pubblicazione: (2025)

OracleProto: A Reproducible Framework for Benchmarking LLM Native Forecasting via Knowledge Cutoff and Temporal Masking
di: Ma, Yiding, et al.
Pubblicazione: (2026)

Psychological and behavioural responses in human-agent vs. human-human interactions: a systematic review and meta-analysis
di: Zhou, Jianan, et al.
Pubblicazione: (2025)

Agent Guide: A Simple Agent Behavioral Watermarking Framework
di: Huang, Kaibo, et al.
Pubblicazione: (2025)

Multimodal Emotion Recognition with Vision-language Prompting and Modality Dropout
di: QI, Anbin, et al.
Pubblicazione: (2024)

Automated stereotactic radiosurgery planning using a human-in-the-loop reasoning large language model agent
di: Nusrat, Humza, et al.
Pubblicazione: (2025)

Causal state binding predicts action control in language agents
di: Jia, Xiao
Pubblicazione: (2026)

Why is constrained neural language generation particularly challenging?
di: Garbacea, Cristina, et al.
Pubblicazione: (2022)

Performance of AI agents based on reasoning language models on ALD process optimization tasks
di: Yanguas-Gil, Angel
Pubblicazione: (2026)

Are they human? Detecting large language models by probing human memory constraints
di: Schug, Simon, et al.
Pubblicazione: (2026)

"When He Feels Cold, He Goes to the Seahorse"-Blending Generative AI into Multimaterial Storymaking for Family Expressive Arts Therapy
di: Liu, Di, et al.
Pubblicazione: (2024)

Are AI agents the new machine translation frontier? Challenges and opportunities of single- and multi-agent systems for multilingual digital communication
di: Briva-Iglesias, Vicent
Pubblicazione: (2025)

A neural network for modeling human concept formation, understanding and communication
di: Guo, Liangxuan, et al.
Pubblicazione: (2026)

Bidirectional human-AI collaboration in brain tumour assessments improves both expert human and AI agent performance
di: Ruffle, James K, et al.
Pubblicazione: (2025)

MARCUS: An agentic, multimodal vision-language model for cardiac diagnosis and management
di: O'Sullivan, Jack W, et al.
Pubblicazione: (2026)

Human-like in-group bias in instruction-tuned language model agents
di: Lee, Messi H. J.
Pubblicazione: (2026)

TouchAI: Exploring human-AI perceptual alignment in touch through language model representations
di: Zhong, Shu, et al.
Pubblicazione: (2024)

ACF: A Collaborative Framework for Agent Covert Communication under Cognitive Asymmetry
di: Wu, Wansheng, et al.
Pubblicazione: (2026)

Multi-agent Embodied AI: Advances and Future Directions
di: Feng, Zhaohan, et al.
Pubblicazione: (2025)

Test-Time Matching: Unlocking Compositional Reasoning in Multimodal Models
di: Zhu, Yinglun, et al.
Pubblicazione: (2025)