A survey of large language models
Language is essentially a complex, intricate system of human expressions governed by
grammatical rules. It poses a significant challenge to develop capable AI algorithms for …
grammatical rules. It poses a significant challenge to develop capable AI algorithms for …
Drivelm: Driving with graph visual question answering
We study how vision-language models (VLMs) trained on web-scale data can be integrated
into end-to-end driving systems to boost generalization and enable interactivity with human …
into end-to-end driving systems to boost generalization and enable interactivity with human …
[PDF][PDF] Efficient large language models: A survey
Abstract Large Language Models (LLMs) have demonstrated remarkable capabilities in
important tasks such as natural language understanding, language generation, and …
important tasks such as natural language understanding, language generation, and …
Xpert: Empowering incident management with query recommendations via large language models
Large-scale cloud systems play a pivotal role in modern IT infrastructure. However, incidents
occurring within these systems can lead to service disruptions and adversely affect user …
occurring within these systems can lead to service disruptions and adversely affect user …
Ufo: A ui-focused agent for windows os interaction
We introduce UFO, an innovative UI-Focused agent to fulfill user requests tailored to
applications on Windows OS, harnessing the capabilities of GPT-Vision. UFO employs a …
applications on Windows OS, harnessing the capabilities of GPT-Vision. UFO employs a …
Improving large language models via fine-grained reinforcement learning with minimum editing constraint
Reinforcement learning (RL) has been widely used in training large language
models~(LLMs) for preventing unexpected outputs,\eg reducing harmfulness and errors …
models~(LLMs) for preventing unexpected outputs,\eg reducing harmfulness and errors …
Usable XAI: 10 strategies towards exploiting explainability in the LLM era
Explainable AI (XAI) refers to techniques that provide human-understandable insights into
the workings of AI models. Recently, the focus of XAI is being extended towards Large …
the workings of AI models. Recently, the focus of XAI is being extended towards Large …
Self-playing Adversarial Language Game Enhances LLM Reasoning
We explore the self-play training procedure of large language models (LLMs) in a two-player
adversarial language game called Adversarial Taboo. In this game, an attacker and a …
adversarial language game called Adversarial Taboo. In this game, an attacker and a …
Topologies of reasoning: Demystifying chains, trees, and graphs of thoughts
M Besta, F Memedi, Z Zhang, R Gerstenberger… - arXiv preprint arXiv …, 2024 - arxiv.org
The field of natural language processing (NLP) has witnessed significant progress in recent
years, with a notable focus on improving large language models'(LLM) performance through …
years, with a notable focus on improving large language models'(LLM) performance through …
Boosting llm reasoning: Push the limits of few-shot learning with reinforced in-context pruning
Large language models (LLMs) have shown impressive capabilities in various tasks, yet
they still struggle with math reasoning. Despite efforts to optimize Chain-of-Thoughts (CoT) …
they still struggle with math reasoning. Despite efforts to optimize Chain-of-Thoughts (CoT) …