Time Series Diffusion in the Frequency Domain
The paper explores the potential of Fourier analysis in generative modelling, specifically within time series diffusion models….
SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models
The article presents SPHINX-X, an enhancement of the SPHINX framework for multi-modal large language models (MLLMs). SPHINX-X…
Large Language Model for Table Processing: A Survey
The article discusses the use of Large Language Models (LLMs) for table processing. It covers traditional areas…
CADReN: Contextual Anchor-Driven Relational Network for Controllable Cross-Graphs Node Importance Estimation
This academic article presents CADReN, a new method for estimating node importance in Knowledge Graphs (KGs), crucial…
SceMQA: A Scientific College Entrance Level Multimodal Question Answering Benchmark
The article introduces SceMQA, a new benchmark for scientific multimodal question answering at the college entrance level….
Three Pathways to Neurosymbolic Reinforcement Learning with Interpretable Model and Policy Networks
This study presents three pathways to implementing models and policies in neurosymbolic artificial intelligence (AI), which combines…
KIX: A Metacognitive Generalization Framework
The article presents a metacognitive generalization framework, Knowledge-Interaction-eXecution (KIX), aiming to enhance the generalist behaviors of artificial…
Guiding Large Language Models with Divide-and-Conquer Program for Discerning Problem Solving
The study focuses on improving the performance of large language models (LLMs) in tasks that involve repetitive…
Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey
This academic article is a thorough review of over 300 articles that focus on the use of…
Rapid Optimization for Jailbreaking LLMs via Subconscious Exploitation and Echopraxia
This paper introduces RIPPLE, an optimization-based method that exploits subconsciousness and echopraxia to jailbreak Large Language Models…