Delve into the cutting edge of Artificial Intelligence with our dedicated Research Paper section.
Individual-centered Partial Information in Social Networks Xiao Han, Y. X. Rachel Wang, Qing Yang, Xin Tong; 25(230):1−60, 2024. Abstract In statistical network analysis, we often assume either the full network is available or multiple subgraphs can be sampled to estimate…
![[2408.11237] Out-of-Distribution Detection with Attention Head Masking for Multimodal Document Classification](http://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png "[2408.11237] Out-of-Distribution Detection with Attention Head Masking for Multimodal Document Classification"){kind=logo}
[Submitted on 20 Aug 2024] View a PDF of the paper titled Out-of-Distribution Detection with Attention Head Masking for Multimodal Document Classification, by Christos Constantinou and 4 other authors View PDF HTML (experimental) Abstract:Detecting out-of-distribution (OOD) data is crucial in…
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[Submitted on 5 Aug 2024] View a PDF of the paper titled VyAnG-Net: A Novel Multi-Modal Sarcasm Recognition Model by Uncovering Visual, Acoustic and Glossary Features, by Ananya Pandey and 1 other authors View PDF Abstract:Various linguistic and non-linguistic clues,…
arXiv:2408.10357v1 Announce Type: new Abstract: Query-focused summarization (QFS) is a fundamental task in natural language processing with broad applications, including search engines and report generation. However, traditional approaches assume the availability of relevant documents, which may not always hold in…
arXiv:2408.10381v1 Announce Type: new Abstract: In this paper, we study reinforcement learning in Markov Decision Processes with Probabilistic Reward Machines (PRMs), a form of non-Markovian reward commonly found in robotics tasks. We design an algorithm for PRMs that achieves a…
Continuous Prediction with Experts’ Advice Nicholas J. A. Harvey, Christopher Liaw, Victor S. Portella; 25(228):1−32, 2024. Abstract Prediction with experts’ advice is one of the most fundamental problems in online learning and captures many of its technical challenges. A recent…
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy.…
arXiv:2408.10215v1 Announce Type: new Abstract: The aim of Reinforcement Learning (RL) in real-world applications is to create systems capable of making autonomous decisions by learning from their environment through trial and error. This paper emphasizes the importance of reward engineering…
[Submitted on 1 Jul 2024] View a PDF of the paper titled A Comprehensive Survey on Diffusion Models and Their Applications, by Md Manjurul Ahsan and 3 other authors View PDF HTML (experimental) Abstract:Diffusion Models are probabilistic models that create…
arXiv:2408.10210v1 Announce Type: new Abstract: This survey paper delves into the emerging and critical area of symbolic knowledge distillation in Large Language Models (LLMs). As LLMs like Generative Pre-trained Transformer-3 (GPT-3) and Bidirectional Encoder Representations from Transformers (BERT) continue to…
arXiv:2408.10340v1 Announce Type: new Abstract: Peer analysis is a critical component of investment management, often relying on expert-provided categorization systems. These systems’ consistency is questioned when they do not align with cohorts from unsupervised clustering algorithms optimized for various metrics.…