The emergence of tools based on large language models (LLMs), such as OpenAI's
ChatGPT and Google's Gemini, has garnered immense public attention owing to their …

Large language models (LLMs), exemplified by ChatGPT, have gained considerable
attention for their excellent natural language processing capabilities. Nonetheless, these …

Large language models (LLMs) have gained considerable attention for their excellent
natural language processing capabilities. Nonetheless, these LLMs present many …

The emergence of tools based on Large Language Models (LLMs), such as OpenAI's
ChatGPT, Microsoft's Bing Chat, and Google's Bard, has garnered immense public attention …

LLMs acquire a wide range of abilities during pre-training, but aligning LLMs under
Reinforcement Learning with Human Feedback (RLHF) can lead to forgetting pretrained …

Large language models (LLMs) often encounter knowledge conflicts, scenarios where
discrepancy arises between the internal parametric knowledge of LLMs and non-parametric …

Large Language Models (LLMs) have demonstrated significant progress in utilizing external
APIs as tools for various tasks. However, their tool-using ability is limited by the availability of …

The recent explosion of performance of large language models (LLMs) has changed the
field of Natural Language Processing (NLP) more abruptly and seismically than any other …

Building a human-like system that continuously interacts with complex environments--
whether simulated digital worlds or human society--presents several key challenges. Central …

Language models are known to encode a great amount of factual knowledge through
pretraining. However, such knowledge might be insufficient to cater to user requests …