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LLM-A*: Large Language Model Enhanced Incremental Heuristic Search on Path Planning
Conference on Empirical Methods in Natural Language ProcessingPath planning is a fundamental scientific problem in robotics and autonomous navigation, requiring the derivation of efficient routes from starting to destination points while avoiding obstacles.
Silin Meng +4 more
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The Effects of Emotion Suppression During Language Planning and Production.
Journal of Speech, Language and Hearing Research, 2018Purpose Emotion regulation and language planning occur in parallel during interactive communication, but their processes are often studied separately.
Jennifer M. Roche, Hayley S Arnold
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Re-orienting to language users: humanizing orientations in language planning as praxis
Language Policy, 2022Yalda M. Kaveh
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Planning language, planning inequality
Journal of Pragmatics, 1993June K. Phillips, James W. Tollefson
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Phraseology in planned languages
Language Problems and Language Planning, 1999ZUSAMMENFASSUNG Plansprache und Phraseologie: Empirische Untersuchungen Umfassende phraseologische Untersuchungen zum Esperanto auf der Grund-lage detailierter Textanalysen, teilnehmender Beobachtungen sowie von Probandenbefragungen machen sowohl Gemeinsamkeiten als auch Unter-schiede zu Phraseologien von Ethnosprachen deutlich. Das phraseologische
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Language Planning and Language Revival: A Current Issue in Language Planning
Current Issues in Language Planning, 2001Anthony J. Liddicoat, Pauline Bryant
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Language Planning and Language Ecology
Current Issues in Language Planning, 2000In an ecological approach language planning is seen as a process which is part of and closely interrelated with a large range of natural and cultural ecological factors. It is focused on the question of maintaining a maximum diversity of languages by seeking to identify those ecological factors that sustain linguistic diversity. Linguistic diversity in
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Ask-before-Plan: Proactive Language Agents for Real-World Planning
Conference on Empirical Methods in Natural Language ProcessingThe evolution of large language models (LLMs) has enhanced the planning capabilities of language agents in diverse real-world scenarios. Despite these advancements, the potential of LLM-powered agents to comprehend ambiguous user instructions for ...
Xuan Zhang +4 more
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