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Large language models and games: A survey and roadmap
Recent years have seen an explosive increase in research on large language models
(LLMs), and accompanying public engagement on the topic. While starting as a niche area …
(LLMs), and accompanying public engagement on the topic. While starting as a niche area …
[HTML][HTML] Review of machine learning in robotic gras** control in space application
This article presents a comprehensive survey of the integration of machine learning
techniques into robotic gras**, with a special emphasis on the challenges and …
techniques into robotic gras**, with a special emphasis on the challenges and …
The llama 3 herd of models
Modern artificial intelligence (AI) systems are powered by foundation models. This paper
presents a new set of foundation models, called Llama 3. It is a herd of language models …
presents a new set of foundation models, called Llama 3. It is a herd of language models …
Secrets of rlhf in large language models part ii: Reward modeling
Reinforcement Learning from Human Feedback (RLHF) has become a crucial technology
for aligning language models with human values and intentions, enabling models to …
for aligning language models with human values and intentions, enabling models to …
Rlhf deciphered: A critical analysis of reinforcement learning from human feedback for llms
State-of-the-art large language models (LLMs) have become indispensable tools for various
tasks. However, training LLMs to serve as effective assistants for humans requires careful …
tasks. However, training LLMs to serve as effective assistants for humans requires careful …
Machine unlearning: Taxonomy, metrics, applications, challenges, and prospects
Personal digital data is a critical asset, and governments worldwide have enforced laws and
regulations to protect data privacy. Data users have been endowed with the “right to be …
regulations to protect data privacy. Data users have been endowed with the “right to be …
Provably robust dpo: Aligning language models with noisy feedback
Learning from preference-based feedback has recently gained traction as a promising
approach to align language models with human interests. While these aligned generative …
approach to align language models with human interests. While these aligned generative …
A survey on pragmatic processing techniques
Pragmatics, situated in the domains of linguistics and computational linguistics, explores the
influence of context on language interpretation, extending beyond the literal meaning of …
influence of context on language interpretation, extending beyond the literal meaning of …
Bonbon alignment for large language models and the sweetness of best-of-n sampling
This paper concerns the problem of aligning samples from large language models to human
preferences using best-of-$ n $ sampling, where we draw $ n $ samples, rank them, and …
preferences using best-of-$ n $ sampling, where we draw $ n $ samples, rank them, and …
Hallucinations in llms: Understanding and addressing challenges
Large language models (LLM) are trained to understand and generate human-like
language. While LLMs present a cutting-edge concept and their use is becoming …
language. While LLMs present a cutting-edge concept and their use is becoming …