Results 141 to 150 of about 7,558,808 (211)
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The language planning situation in the Sultanate of Oman
, 2020This paper examines the language planning situation in the Sultanate of Oman with emphasis on the planning of Arabic, English, French and German, and their choice and spread in serving different interests and purposes.
Ali S. M. Al-Issa
semanticscholar +1 more source
Visual Intelligence, 2023
Large language models (LLMs) have opened up new possibilities for intelligent agents, endowing them with human-like thinking and cognitive abilities. In this work, we delve into the potential of large language models (LLMs) in autonomous driving (AD). We
Wenhai Wang +15 more
semanticscholar +1 more source
Large language models (LLMs) have opened up new possibilities for intelligent agents, endowing them with human-like thinking and cognitive abilities. In this work, we delve into the potential of large language models (LLMs) in autonomous driving (AD). We
Wenhai Wang +15 more
semanticscholar +1 more source
NATURAL PLAN: Benchmarking LLMs on Natural Language Planning
arXiv.orgWe introduce NATURAL PLAN, a realistic planning benchmark in natural language containing 3 key tasks: Trip Planning, Meeting Planning, and Calendar Scheduling. We focus our evaluation on the planning capabilities of LLMs with full information on the task,
Huaixiu Steven Zheng +10 more
semanticscholar +1 more source
Neural Information Processing Systems, 2022
Generating plans of action, and reasoning about change have long been considered a core competence of intelligent agents. It is thus no surprise that evaluating the planning and reasoning capabilities of large language models (LLMs) has become a hot ...
Karthik Valmeekam +3 more
semanticscholar +1 more source
Generating plans of action, and reasoning about change have long been considered a core competence of intelligent agents. It is thus no surprise that evaluating the planning and reasoning capabilities of large language models (LLMs) has become a hot ...
Karthik Valmeekam +3 more
semanticscholar +1 more source
Language Planning: Corpus Planning
Annual Review of Applied Linguistics, 1989Beginning with the framework established by Haugen (1983) as a basis for this review, corpus planning can be defined as those aspects of language planning which are primarily linguistic and hence internal to language. Some of these aspects related to language are: 1) orthographic innovation, including design, harmonization, change of script, and ...
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TravelPlanner: A Benchmark for Real-World Planning with Language Agents
International Conference on Machine LearningPlanning has been part of the core pursuit for artificial intelligence since its conception, but earlier AI agents mostly focused on constrained settings because many of the cognitive substrates necessary for human-level planning have been lacking ...
Jian Xie +7 more
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PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization
International Conference on Learning Representations, 2023Highly effective, task-specific prompts are often heavily engineered by experts to integrate detailed instructions and domain insights based on a deep understanding of both instincts of large language models (LLMs) and the intricacies of the target task.
Xinyuan Wang +8 more
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ThinkAct: Vision-Language-Action Reasoning via Reinforced Visual Latent Planning
arXiv.orgVision-language-action (VLA) reasoning tasks require agents to interpret multimodal instructions, perform long-horizon planning, and act adaptively in dynamic environments. Existing approaches typically train VLA models in an end-to-end fashion, directly
Chi-Pin Huang +4 more
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Planning Language, Planning Future
GLOCAL Conference Proceedings, 2019Language is planned, and plans themselves arer assessed in a multitude of countries in Europe and America, and to a lesser extent in Africa and Asia. In the presentation, the overview of the process of language planning is provided, based on the experience of language planning in various countries.
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On the Self-Verification Limitations of Large Language Models on Reasoning and Planning Tasks
International Conference on Learning RepresentationsThere has been considerable divergence of opinion on the reasoning abilities of Large Language Models (LLMs). While the initial optimism that reasoning might emerge automatically with scale has been tempered thanks to a slew of counterexamples--ranging ...
Kaya Stechly +2 more
semanticscholar +1 more source

