Unifying large language models and knowledge graphs: A roadmap
Large language models (LLMs), such as ChatGPT and GPT4, are making new waves in the
field of natural language processing and artificial intelligence, due to their emergent ability …
field of natural language processing and artificial intelligence, due to their emergent ability …
Netllm: Adapting large language models for networking
Many networking tasks now employ deep learning (DL) to solve complex prediction and
optimization problems. However, current design philosophy of DL-based algorithms entails …
optimization problems. However, current design philosophy of DL-based algorithms entails …
Interactive natural language processing
Interactive Natural Language Processing (iNLP) has emerged as a novel paradigm within
the field of NLP, aimed at addressing limitations in existing frameworks while aligning with …
the field of NLP, aimed at addressing limitations in existing frameworks while aligning with …
Beyond efficiency: A systematic survey of resource-efficient large language models
The burgeoning field of Large Language Models (LLMs), exemplified by sophisticated
models like OpenAI's ChatGPT, represents a significant advancement in artificial …
models like OpenAI's ChatGPT, represents a significant advancement in artificial …
Doraemongpt: Toward understanding dynamic scenes with large language models
The field of AI agents is advancing at an unprecedented rate due to the capabilities of large
language models (LLMs). However, LLM-driven visual agents mainly focus on solving tasks …
language models (LLMs). However, LLM-driven visual agents mainly focus on solving tasks …
Dehallucinating large language models using formal methods guided iterative prompting
Large language models (LLMs) such as ChatGPT have been trained to generate human-like
responses to natural language prompts. LLMs use a vast corpus of text data for training, and …
responses to natural language prompts. LLMs use a vast corpus of text data for training, and …
Creating trustworthy llms: Dealing with hallucinations in healthcare ai
Large language models have proliferated across multiple domains in as short period of time.
There is however hesitation in the medical and healthcare domain towards their adoption …
There is however hesitation in the medical and healthcare domain towards their adoption …
Chatdb: Augmenting llms with databases as their symbolic memory
Large language models (LLMs) with memory are computationally universal. However,
mainstream LLMs are not taking full advantage of memory, and the designs are heavily …
mainstream LLMs are not taking full advantage of memory, and the designs are heavily …
Fourier transformer: Fast long range modeling by removing sequence redundancy with fft operator
The transformer model is known to be computationally demanding, and prohibitively costly
for long sequences, as the self-attention module uses a quadratic time and space complexity …
for long sequences, as the self-attention module uses a quadratic time and space complexity …
The effect of scaling, retrieval augmentation and form on the factual consistency of language models
Large Language Models (LLMs) make natural interfaces to factual knowledge, but their
usefulness is limited by their tendency to deliver inconsistent answers to semantically …
usefulness is limited by their tendency to deliver inconsistent answers to semantically …