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The language planning situation in the Sultanate of Oman

, 2020
This 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

DriveMLM: aligning multi-modal large language models with behavioral planning states for autonomous driving

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

NATURAL PLAN: Benchmarking LLMs on Natural Language Planning

arXiv.org
We 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

PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about Change

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

Language Planning: Corpus Planning

Annual Review of Applied Linguistics, 1989
Beginning 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 ...
openaire   +1 more source

TravelPlanner: A Benchmark for Real-World Planning with Language Agents

International Conference on Machine Learning
Planning 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
semanticscholar   +1 more source

PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization

International Conference on Learning Representations, 2023
Highly 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
semanticscholar   +1 more source

ThinkAct: Vision-Language-Action Reasoning via Reinforced Visual Latent Planning

arXiv.org
Vision-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
semanticscholar   +1 more source

Planning Language, Planning Future

GLOCAL Conference Proceedings, 2019
Language 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.
openaire   +1 more source

On the Self-Verification Limitations of Large Language Models on Reasoning and Planning Tasks

International Conference on Learning Representations
There 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

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