Search Results - Emergent Agent Symbolic Representation STAR algorithm LLMs alignment capacity

Can LLMs Translate Human Instructions into a Reinforcement Learning Agent's Internal Emergent Symbolic Representation?

Authors: Ma, Ziqi Nguyen, Sao, Mai Xu, Philippe et al.

Contributors: Ma, Ziqi Nguyen, Sao, Mai Xu, Philippe et al.

Source: ROMAN workshop-ITL4HRI ; https://hal.science/hal-05231065 ; ROMAN workshop-ITL4HRI, Aug 2025, Eindhoven (Eindhoven University of Technology), Netherlands

Subject Terms: alignment capacity, LLMs, STAR algorithm, Symbolic Representation, Emergent Agent, Emergent Agent Symbolic Representation STAR algorithm LLMs alignment capacity, [STAT.ML]Statistics [stat]/Machine Learning [stat.ML]

Subject Geographic: Eindhoven (Eindhoven University of Technology), Netherlands

Availability: https://hal.science/hal-05231065
https://hal.science/hal-05231065v1/document
https://hal.science/hal-05231065v1/file/LLM_on_emergent_agency_CEUR_Workshop.pdf

Ontology-Driven Multi-Agent System for Cross-Domain Art Translation.

Authors: Matanski, Viktor Iliev, Anton Kyurkchiev, Nikolay et al.

Source: Future Internet; Nov2025, Vol. 17 Issue 11, p517, 33p

Subject Terms: ONTOLOGY, MULTIAGENT systems, INTERDISCIPLINARY research, ARTISTIC creation, PROBABILISTIC generative models, KNOWLEDGE representation (Information theory), GENERATIVE artificial intelligence

The rise and potential of large language model based agents: a survey.

Authors: Xi, Zhiheng Chen, Wenxiang Guo, Xin et al.

Source: SCIENCE CHINA Information Sciences; Feb2025, Vol. 68 Issue 2, p1-44, 44p

"A Good Bot Always Knows Its Limitations": Assessing Autonomous System Decision-Making Competencies through Factorized Machine Self-Confidence.

Authors: Israelsen, Brett Ahmed, Nisar R. Aitken, Matthew et al.

Source: ACM Transactions on Human-Robot Interaction; Dec2025, Vol. 14 Issue 4, p1-63, 63p

Subject Terms: SELF-confidence, DECISION making, METACOGNITION, STATISTICAL decision making, AUTONOMOUS robots, EVALUATION methodology, MARKOV processes

From Google Gemini to OpenAI Q* (Q-Star): A Survey on Reshaping the Generative Artificial Intelligence (AI) Research Landscape.

Authors: McIntosh, Timothy R. Susnjak, Teo Liu, Tong et al.

Source: Technologies (2227-7080); Feb2025, Vol. 13 Issue 2, p51, 56p

Subject Terms: GENERATIVE artificial intelligence, ARTIFICIAL intelligence, GEMINI (Chatbot), SOCIAL norms, SCHOLARLY communication

Overcoming classic challenges for artificial neural networks by providing incentives and practice.

Authors: Irie, Kazuki Lake, Brenden M.

Source: Nature Machine Intelligence; Oct2025, Vol. 7 Issue 10, p1602-1611, 10p

Adaptive Epistemology: Embracing Generative AI as a Paradigm Shift in Social Science.

Authors: Punziano, Gabriella

Source: Societies (2075-4698); Jul2025, Vol. 15 Issue 7, p205, 18p

Subject Terms: GENERATIVE artificial intelligence, SOCIAL science research, SOCIOTECHNICAL systems, THEORY of knowledge, DIGITAL technology, CONCEPTUAL models, ETHICS

AI-generated Literature, Distant Writing and the Reader: Reflections on Floridi and Calvino.

Authors: Mollema, Warmhold Jan Thomas

Source: Philosophy & Technology; Dec2025, Vol. 38 Issue 4, p1-43, 43p

A Review of Large Language Models: Fundamental Architectures, Key Technological Evolutions, Interdisciplinary Technologies Integration, Optimization and Compression Techniques, Applications, and Challenges.

Authors: Han, Songyue Wang, Mingyu Zhang, Jialong et al.

Source: Electronics (2079-9292); Dec2024, Vol. 13 Issue 24, p5040, 83p

Subject Terms: LANGUAGE models, NATURAL language processing, COMPUTER vision, SCIENTIFIC computing, HALLUCINATIONS (Artificial intelligence), MACHINE translating

The origin and function of external representations.

Authors: Fernando, Chrisantha Osindero, Simon Banarse, Dylan

Source: Adaptive Behavior; Dec2024, Vol. 32 Issue 6, p515-549, 35p

A Survey on Semantic Communication Networks: Architecture, Security, and Privacy.

Authors: Guo, Shaolong Wang, Yuntao Zhang, Ning et al.

Source: IEEE Communications Surveys & Tutorials; Oct2025, Vol. 27 Issue 5, p2860-2894, 35p

Deep neural networks and humans both benefit from compositional language structure.

Authors: Galke, Lukas Ram, Yoav Raviv, Limor

Source: Nature Communications; 12/30/2024, Vol. 15 Issue 1, p1-13, 13p

Subject Terms: ARTIFICIAL neural networks, NATURAL language processing, LANGUAGE models, ARTIFICIAL intelligence, COGNITIVE psychology, RECURRENT neural networks

Anime Generation through Diffusion and Language Models: A Comprehensive Survey of Techniques and Trends.

Authors: Wu, Yujie Deng, Xing Shao, Haijian et al.

Source: Computer Modeling in Engineering & Sciences (CMES); 2025, Vol. 144 Issue 3, p2709-2778, 70p

Subject Terms: ANIME, GENERATIVE artificial intelligence, AUTOMATION software, ETHICAL problems, ARTIFICIAL neural networks, LANGUAGE models

An Overview of Robot Embodied Intelligence Based on Multimodal Models: Tasks, Models, and System Schemes.

Authors: Cong, Yao Mo, Hongwei El Kafhali, Said

Source: International Journal of Intelligent Systems; 6/14/2025, Vol. 2025, p1-20, 20p

Subject Terms: ARTIFICIAL intelligence, LANGUAGE models, INTERACTIVE learning, PRIOR learning, ROBOTICS

Further N -Frame networking dynamics of conscious observer-self agents via a functional contextual interface: predictive coding, double-slit quantum mechanical experiment, and decision-making fallacy modeling as applied to the measurement problem in humans and AI

Authors: Edwards, Darren J.

Source: Frontiers in Computational Neuroscience; 2025, p1-53, 53p

Subject Terms: LANGUAGE models, ARTIFICIAL intelligence, COGNITIVE bias, QUANTUM operators, COGNITIVE maps (Psychology)

Navigating challenges/opportunities in developing smart agricultural extension platforms: Multi-media data mining techniques.

Authors: Kpodo, Josué Nejadhashemi, A. Pouyan

Source: Artificial Intelligence in Agriculture; Sep2025, Vol. 15 Issue 3, p426-448, 23p

Subject Terms: LANGUAGE models, ARTIFICIAL intelligence, DATA privacy, AGRICULTURE, AGRICULTURAL extension work, DATA encryption

Evolving to multi-modal knowledge graphs for engineering design: state-of-the-art and future challenges.

Authors: Pan, Xinyu Li, Xinyu Li, Qi et al.

Source: Journal of Engineering Design; Jul-Sep2025, Vol. 36 Issue 7-9, p1156-1195, 40p

Subject Terms: ENGINEERING design, KNOWLEDGE graphs, TECHNOLOGY convergence, PRODUCT design, DATA mining, SCHOLARLY peer review

Graph-aware isomorphic attention for adaptive dynamics in transformers.

Authors: Buehler, Markus J.

Source: APL Machine Learning; Jun2025, Vol. 3 Issue 2, p1-24, 24p

Subject Terms: GRAPH neural networks, TRANSFORMER models, MATHEMATICAL category theory, ISOMORPHISM (Mathematics), GRAPH theory

Meeting abstracts.

Source: Psychological Reports; 2025 Suppl 3, Vol. 128, p14-299, 286p

When large language models meet personalization: perspectives of challenges and opportunities.

Authors: Chen, Jin Liu, Zheng Huang, Xu et al.

Source: World Wide Web; Jul2024, Vol. 27 Issue 4, p1-45, 45p