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Leadership, Rewards, and Recognition
Proceedings of SPE Western Regional Meeting, 1994Abstract The petroleum industry is facing continual and intense challenges to operate with fewer staff in an increasingly more complex and competitive business world. each company wants to be better than the "competition" which requires a number of things, ■highly trained staff■applying the best technology■team work■a suitable system of ...
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VLM-R3: Region Recognition, Reasoning, and Refinement for Enhanced Multimodal Chain-of-Thought
arXiv.orgRecently, reasoning-based MLLMs have achieved a degree of success in generating long-form textual reasoning chains. However, they still struggle with complex tasks that necessitate dynamic and iterative focusing on and revisiting of visual regions to ...
Chaoya Jiang +8 more
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An employee reward and recognition process
The TQM Magazine, 1997Reward and recognition systems for individual employees remain one of the controversial areas of quality management. Previous discussions on this aspect of quality management, although recognizing their importance, often attribute failure of the system to the method of implementation.
Calvin London, Kim Higgot
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Rewards and Recognition in Employee Motivation
Compensation & Benefits Review, 2002Reward and recognition are usually regarded as synonyms. They are, however, quite distinct and represent a fundamental duality in human motivation. Despite the overwhelming theoretical and research support for this duality, it continues to be ignored in the actual practice of designing and implementing employee motivation initiatives.
Frederick Hansen +2 more
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Adapt2Reward: Adapting Video-Language Models to Generalizable Robotic Rewards via Failure Prompts
European Conference on Computer VisionFor a general-purpose robot to operate in reality, executing a broad range of instructions across various environments is imperative. Central to the reinforcement learning and planning for such robotic agents is a generalizable reward function.
Yanting Yang +7 more
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Employee reward and recognition
2014The Human Resources (HR) function is the key partner in embedding Corporate Social Responsibility (CSR) and Sustainability initiatives in any organisation, as this can be achieved only when a company educates, engages and empowers its entire workforce. This chapter proposes that the HR function has a responsibility to be proactive in leading the way in
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Speech Recognition with LLMs Adapted to Disordered Speech Using Reinforcement Learning
IEEE International Conference on Acoustics, Speech, and Signal ProcessingWe introduce a large language model (LLM) capable of processing speech inputs and show that tuning it further with reinforcement learning on human preference (RLHF) enables it to adapt better to disordered speech than traditional fine-tuning.
Chirag Nagpal +5 more
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Reward Recognition in NCLT Practice
2017Decisions represent choices between two or more options. NCLT uses a sequential sampling model for multiattribute binary choice options, called multiattribute attention switching (MAAS) model as the basis of its understanding of reward valuation. When a person is confronted by making a choice between two or more stimuli, this model assumes a separate ...
Theodore Wasserman +1 more
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