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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 …
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 …
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 …
Doraemongpt: Toward understanding dynamic scenes with large language models (exemplified as a video agent)
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 …
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 …
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 …
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 …
Insights into Classifying and Mitigating LLMs' Hallucinations
The widespread adoption of large language models (LLMs) across diverse AI applications is
proof of the outstanding achievements obtained in several tasks, such as text mining, text …
proof of the outstanding achievements obtained in several tasks, such as text mining, text …
Zo-adamu optimizer: Adapting perturbation by the momentum and uncertainty in zeroth-order optimization
Lowering the memory requirement in full-parameter training on large models has become a
hot research area. MeZO fine-tunes the large language models (LLMs) by just forward …
hot research area. MeZO fine-tunes the large language models (LLMs) by just forward …