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[HTML][HTML] Opinion Paper:“So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for …
Transformative artificially intelligent tools, such as ChatGPT, designed to generate
sophisticated text indistinguishable from that produced by a human, are applicable across a …
sophisticated text indistinguishable from that produced by a human, are applicable across a …
A comprehensive survey on pretrained foundation models: A history from bert to chatgpt
Abstract Pretrained Foundation Models (PFMs) are regarded as the foundation for various
downstream tasks across different data modalities. A PFM (eg, BERT, ChatGPT, GPT-4) is …
downstream tasks across different data modalities. A PFM (eg, BERT, ChatGPT, GPT-4) is …
Opinion Paper:“So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research …
Transformative artificially intelligent tools, such as ChatGPT, designed to generate
sophisticated text indistinguishable from that produced by a human, are applicable across a …
sophisticated text indistinguishable from that produced by a human, are applicable across a …
Open problems and fundamental limitations of reinforcement learning from human feedback
Reinforcement learning from human feedback (RLHF) is a technique for training AI systems
to align with human goals. RLHF has emerged as the central method used to finetune state …
to align with human goals. RLHF has emerged as the central method used to finetune state …
Survey of hallucination in natural language generation
Natural Language Generation (NLG) has improved exponentially in recent years thanks to
the development of sequence-to-sequence deep learning technologies such as Transformer …
the development of sequence-to-sequence deep learning technologies such as Transformer …
Webshop: Towards scalable real-world web interaction with grounded language agents
Most existing benchmarks for grounding language in interactive environments either lack
realistic linguistic elements, or prove difficult to scale up due to substantial human …
realistic linguistic elements, or prove difficult to scale up due to substantial human …
[HTML][HTML] A review on reinforcement learning for contact-rich robotic manipulation tasks
Research and application of reinforcement learning in robotics for contact-rich manipulation
tasks have exploded in recent years. Its ability to cope with unstructured environments and …
tasks have exploded in recent years. Its ability to cope with unstructured environments and …
A systematic study on reinforcement learning based applications
We have analyzed 127 publications for this review paper, which discuss applications of
Reinforcement Learning (RL) in marketing, robotics, gaming, automated cars, natural …
Reinforcement Learning (RL) in marketing, robotics, gaming, automated cars, natural …
Reinforcement learning and bandits for speech and language processing: Tutorial, review and outlook
B Lin - Expert Systems with Applications, 2024 - Elsevier
In recent years, reinforcement learning and bandits have transformed a wide range of real-
world applications including healthcare, finance, recommendation systems, robotics, and …
world applications including healthcare, finance, recommendation systems, robotics, and …
[HTML][HTML] Artificial intelligence for deconstruction: Current state, challenges, and opportunities
Artificial intelligence and its subfields, such as machine learning, robotics, optimisation,
knowledge-based systems, reality capture and extended reality, have brought remarkable …
knowledge-based systems, reality capture and extended reality, have brought remarkable …