An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems | Paper Citation Record

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Toward an understanding of macrocognition in teams: Pre- d icting processes in complex collaborative contexts,

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems The process of solvi ng complex problems,

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Towards a generalized competency model of collaborative p roblem solving,

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Problem-solving phase transitions during team collaboration,

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Cognitive pr ocesses in well-deﬁned and ill-deﬁned problem solving,

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems The role of precedents in incr easing creativity during iterative design of electronic embedded systems,

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Modeling semantic knowledge structures for creative problem solving: Studie s on express- ing concepts, categories, associations, goals and context ,

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Reuse , parameterized reuse, and hierarchical reuse of substructu res in evolving electrical circuits using genetic programming,

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Problem frame p atterns: an exploration of patterns in the problem space,

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems High-level synthesis of delta-s igma modu- lators optimized for complexity, sensitivity and power con sumption,

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Systematic methodology for design- ing reconﬁgurable delta sigma modulator topologies for mul timode communication systems,

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Improvement of skills f or solving-ill- deﬁned problems,

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Assessm ent of student problem-solving on ill-deﬁned tasks,

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems A novel agent-based, evolutio nary model for expressing the dynamics of creative open-problem solvi ng in small groups,

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Enhanced poet: Open-ended reinforcement learning th rough un- bounded invention of learning challenges and their solutio ns,

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Unresolved cited work

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems A library- based approach to analog synthesis from vhdl-ams speciﬁcat ions,

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Fingeroff, High-Level Synthesis Blue Book

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems McConaghy, P

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Behavioral modeling for high- level syn- thesis of analog and mixed-signal systems from vhdl-ams,

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Exploration-based high-level synthesis of linea r analog systems operating at low/medium frequencies,

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems When concepts combine,

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Darwin: Cmos opamp synt hesis by means of genetic algorithm,

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Research direc tions in agent communication,

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Agent-based modeling: methods and techn iques for simulating human systems,

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Collaborating wit h style: Using an agent-based model to simulate cognitive style dive rsity in problem solving teams,

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Act: A simple theory of complex cognition ,

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Laird, Compilers: Principles, Techniques, and Tools

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems The sigma cogn itive ar- chitecture and system: towards functionally elegant grand uniﬁcation,

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems An overview of the epic architec ture for cognition and performance with application to human-co mputer interaction,

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Sun, A tutorial on clarion 5.0

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Innova: A cognitive architecture for computational innovation through robust divergence and its application for analog circuit design,

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Attention is all you need,

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Language mod- els are few-shot learners,

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Representati on learning: A review and new perspectives,

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Building machines that learn and think like people,

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Ethical and social risks of harm from Language Models

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Sparks of Artificial General Intelligence: Early experiments with GPT-4

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Defending against neural fake news,

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Fast Lexically Constrained Decoding with Dynamic Beam Allocation for Neural Machine Translation

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Parameter-efﬁcie nt transfer learning for nlp,

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Shortcut learning in deep neu ral networks,

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Improving large language models for clinical named entity recognition via prompt engineering,

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Medical transcriptions,

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems V accine adverse event reporting system (vaers),

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Chain-of-thought prompting elicits reasoning in large language models,

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Comp lexity- based prompting for multi-step reasoning,

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Thread of Thought Unraveling Chaotic Contexts

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Chain of Code: Reasoning with a Language Model-Augmented Code Emulator

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Enhancing Zero-Shot Chain-of-Thought Reasoning in Large Language Models through Logic

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Chain-of-event prompting for multi- document summarization by large language models,

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Self-Consistency Improves Chain of Thought Reasoning in Language Models

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Contrastive Chain-of-Thought Prompting

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Federated prompting and cha in-of- thought reasoning for improving llms answering,

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Tree of thoughts: Deliberate problem solvi ng with large language models,

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations

Reference 58

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models

Reference 59

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks

Reference 60

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Chain-of-Symbol Prompting Elicits Planning in Large Langauge Models

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Structured chain-of-tho ught prompting for code generation,

Reference 62

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Reasoning Implicit Sentiment with Chain-of-Thought Prompting

Reference 63

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Towards Expert-Level Medical Question Answering with Large Language Models

Reference 64

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Automatic Chain of Thought Prompting in Large Language Models

Reference 65

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems ReAct: Synergizing Reasoning and Acting in Language Models

Reference 66

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Active Prompting with Chain-of-Thought for Large Language Models

Reference 67

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems MathPrompter: Mathematical Reasoning using Large Language Models

Reference 68

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Large Language Models as Analogical Reasoners

Reference 69

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Syn- thetic prompting: Generating chain-of-thought demonstra tions for large language models,

Reference 70

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems System 2 Attention (is something you might need too)

Reference 71

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Metacognitive Prompting Improves Understanding in Large Language Models

Reference 72

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Least-to-Most Prompting Enables Complex Reasoning in Large Language Models

Reference 73

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Decomposed Prompting: A Modular Approach for Solving Complex Tasks

Reference 74

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Pal: Program-aided language models,

Reference 75

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Binding Language Models in Symbolic Languages

Reference 76

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Large Language Models are Versatile Decomposers: Decompose Evidence and Questions for Table-based Reasoning

Reference 77

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Retrieval- augmented generation for knowledge-intensive nlp tasks,

Reference 78

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Reducing hallucination in structured outputs via Retrieval-Augmented Generation

Reference 79

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems SBI-RAG: Enhancing Math Word Problem Solving for Students through Schema-Based Instruction and Retrieval-Augmented Generation

Reference 80

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Kragen: a knowledge graph-enhance d rag framework for biomedical problem solving using large la nguage models,

Reference 81

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Gram: Generative r etrieval augmented matching of data schemas in the context of data sec urity,

Reference 82

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems TableRAG: Million-Token Table Understanding with Language Models

Reference 83

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems SeaKR: Self-aware Knowledge Retrieval for Adaptive Retrieval Augmented Generation

Reference 84

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Self- rag: Self- reﬂective retrieval augmented generation,

Reference 85

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Can We Further Elicit Reasoning in LLMs? Critic-Guided Planning with Retrieval-Augmentation for Solving Challenging Tasks

Reference 86

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains

Reference 87

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems SeRTS: Self-rewarding tree search for bi omedical retrieval-augmented generation,

Reference 88

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting

Reference 89

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models

Reference 90

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Augmenting language models with long-term memory,

Reference 91

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Enhancing long-term memory using hierarchi- cal aggregate tree for retrieval augmented generation,

Reference 92

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems MemoRAG: Boosting Long Context Processing with Global Memory-Enhanced Retrieval Augmentation

Reference 93

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Pistis-RAG: Enhancing Retrieval-Augmented Generation with Human Feedback

Reference 94

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Similarity is Not All You Need: Endowing Retrieval Augmented Generation with Multi Layered Thoughts

Reference 95

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems RAG-Star: Enhancing Deliberative Reasoning with Retrieval Augmented Verification and Refinement

Reference 96

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop Queries

Reference 97

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Retrieval-augmented Multi-modal Chain-of-Thoughts Reasoning for Large Language Models

Reference 98

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems HOP, UNION, GENERATE: Explainable Multi-hop Reasoning without Rationale Supervision

Reference 99

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Observation 0204fbcc-b9f7-4178-bf69-00f94c5899dd · outbound

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An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Multimodal Chain-of-Thought Reasoning in Language Models

Reference 100

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