Related papers: Embodiment and Computational Creativity

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Rethinking Creativity Evaluation: A Critical Analysis of Existing Creativity Evaluations [47.51585845370428]
We examine creativity measures including the creativity index, perplexity, syntactic templates, and LLM-as-a-Judge.<n>Our analyses reveal that these metrics exhibit limited consistency, capturing different dimensions of creativity.
arXiv Detail & Related papers (2025-08-07T15:11:48Z)
Understanding Everything as Code: A Taxonomy and Conceptual Model [8.82214863392834]
Everything as Code (EaC) is an emerging paradigm aiming to codify all aspects of modern software systems.<n>Despite its growing popularity, comprehensive industry standards and peer-reviewed research clarifying its scope and guiding its adoption remain scarce.<n>This study systematically analyzes existing knowledge and perceptions of EaC, clarifies its scope and boundaries, and provides structured guidance for researchers and practitioners.
arXiv Detail & Related papers (2025-07-07T15:21:02Z)
Creativity in LLM-based Multi-Agent Systems: A Survey [56.25583236738877]
Large language model (LLM)-driven multi-agent systems (MAS) are transforming how humans and AIs collaboratively generate ideas and artifacts.<n>This is the first survey dedicated to creativity in MAS.<n>We focus on text and image generation tasks, and present: (1) a taxonomy of agent proactivity and persona design; (2) an overview of generation techniques, including divergent exploration, iterative refinement, and collaborative synthesis, as well as relevant datasets and evaluation metrics; and (3) a discussion of key challenges, such as inconsistent evaluation standards, insufficient bias mitigation, coordination conflicts, and the lack of unified benchmarks.
arXiv Detail & Related papers (2025-05-27T12:36:14Z)
Why Reasoning Matters? A Survey of Advancements in Multimodal Reasoning (v1) [66.51642638034822]
Reasoning is central to human intelligence, enabling structured problem-solving across diverse tasks. Recent advances in large language models (LLMs) have greatly enhanced their reasoning abilities in arithmetic, commonsense, and symbolic domains. This paper offers a concise yet insightful overview of reasoning techniques in both textual and multimodal LLMs.
arXiv Detail & Related papers (2025-04-04T04:04:56Z)
Dynamic semantic networks for exploration of creative thinking [0.0]
Human creativity originates from brain cortical networks specialized in idea generation, processing, and evaluation. The concurrent verbalization of our inner thoughts during the execution of a design task enables the use of dynamic semantic networks as a tool for investigating, evaluating, and monitoring creative thought.
arXiv Detail & Related papers (2025-01-19T15:59:07Z)
Applications of Knowledge Distillation in Remote Sensing: A Survey [3.481234252899159]
Knowledge distillation (KD) is a technique developed to transfer knowledge from a complex, often cumbersome model (teacher) to a more compact and efficient model (student) The article provides a comprehensive taxonomy of KD techniques, where each category is critically analyzed to demonstrate the breadth and depth of the alternative options. The review discusses the challenges and limitations of KD in RS, including practical constraints and prospective future directions.
arXiv Detail & Related papers (2024-09-18T16:30:49Z)
Coding for Intelligence from the Perspective of Category [66.14012258680992]
Coding targets compressing and reconstructing data, and intelligence. Recent trends demonstrate the potential homogeneity of these two fields. We propose a novel problem of Coding for Intelligence from the category theory view.
arXiv Detail & Related papers (2024-07-01T07:05:44Z)
Creativity and Markov Decision Processes [0.20482269513546453]
We identify formal mappings between Boden's process theory of creativity and Markov Decision Processes (MDPs) We study three out of eleven mappings in detail to understand which types of creative processes, opportunities foraberrations, and threats to creativity (uninspiration) could be observed in an MDP. We conclude by discussing quality criteria for the selection of such mappings for future work and applications.
arXiv Detail & Related papers (2024-05-23T18:16:42Z)
An Artificial Intelligence Approach for Interpreting Creative Combinational Designs [1.3948357001626264]
Combinational creativity is a form of creativity involving the blending of familiar ideas. This study focuses on the computational interpretation, specifically identifying the 'base' and 'additive' components that constitute a creative design.
arXiv Detail & Related papers (2024-05-08T11:47:32Z)
Rethinking Word-Level Auto-Completion in Computer-Aided Translation [76.34184928621477]
Word-Level Auto-Completion (WLAC) plays a crucial role in Computer-Assisted Translation. It aims at providing word-level auto-completion suggestions for human translators. We introduce a measurable criterion to answer this question and discover that existing WLAC models often fail to meet this criterion. We propose an effective approach to enhance WLAC performance by promoting adherence to the criterion.
arXiv Detail & Related papers (2023-10-23T03:11:46Z)
Learning a Structural Causal Model for Intuition Reasoning in Conversation [20.243323155177766]
Reasoning, a crucial aspect of NLP research, has not been adequately addressed by prevailing models. We develop a conversation cognitive model ( CCM) that explains how each utterance receives and activates channels of information. By leveraging variational inference, it explores substitutes for implicit causes, addresses the issue of their unobservability, and reconstructs the causal representations of utterances through the evidence lower bounds.
arXiv Detail & Related papers (2023-05-28T13:54:09Z)
Review of coreference resolution in English and Persian [8.604145658574689]
Coreference resolution (CR) identifies expressions referring to the same real-world entity. This paper explores the latest advancements in CR, spanning coreference and anaphora resolution. Recognizing the unique challenges of Persian CR, we dedicate a focused analysis to this under-resourced language.
arXiv Detail & Related papers (2022-11-08T18:14:09Z)
Semantic Search for Large Scale Clinical Ontologies [63.71950996116403]
We present a deep learning approach to build a search system for large clinical vocabularies. We propose a Triplet-BERT model and a method that generates training data based on semantic training data. The model is evaluated using five real benchmark data sets and the results show that our approach achieves high results on both free text to concept and concept to searching concept vocabularies.
arXiv Detail & Related papers (2022-01-01T05:15:42Z)
A Field Guide to Federated Optimization [161.3779046812383]
Federated learning and analytics are a distributed approach for collaboratively learning models (or statistics) from decentralized data. This paper provides recommendations and guidelines on formulating, designing, evaluating and analyzing federated optimization algorithms.
arXiv Detail & Related papers (2021-07-14T18:09:08Z)
Explaining Creative Artifacts [69.86890599471202]
We develop an inverse problem formulation to deconstruct the products of and compositional creativity into associative chains. In particular, our formulation is structured as solving a traveling salesman problem through a knowledge graph of associative elements.
arXiv Detail & Related papers (2020-10-14T14:32:38Z)
Phase Transition Behavior in Knowledge Compilation [52.68422776053012]
We study the behaviour of size and compile-time behaviour for random k-CNF formulas in the context of knowledge compilation. Our work is similar in spirit to the early work in CSP community on phase transition behavior in SAT/CSP.
arXiv Detail & Related papers (2020-07-20T18:36:27Z)

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