QuanTaxo: A Quantum Approach to Self-Supervised Taxonomy Expansion
arXiv:2501.14011v1 Announce Type: cross Abstract: A taxonomy is a hierarchical graph containing knowledge to provide valuable insights for various web ...
Read more
[2501.14719] Do LLMs Provide Consistent Answers to Health-Related Questions across Languages?
[Submitted on 24 Jan 2025] View a PDF of the paper titled Do LLMs Provide Consistent Answers to Health-Related Questions ...
Read more
[2501.13833] On the Reasoning Capacity of AI Models and How to Quantify It
[Submitted on 23 Jan 2025] View a PDF of the paper titled On the Reasoning Capacity of AI Models and ...
Read more
[2412.09460] The Impact of Copyrighted Material on Large Language Models: A Norwegian Perspective
[Submitted on 12 Dec 2024 (v1), last revised 22 Jan 2025 (this version, v3)] Authors:Javier de la Rosa, Vladislav Mikhailov, ...
Read more
Triplet-Grid Framework for Discontinuous Named Entity Recognition
[Submitted on 4 Nov 2024 (v1), last revised 22 Jan 2025 (this version, v2)] View a PDF of the paper ...
Read more
Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems?
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals ...
Read more
Mixture of Prompts for LLM Task Adaptation
[Submitted on 4 Oct 2023 (v1), last revised 18 Jan 2025 (this version, v3)] View a PDF of the paper ...
Read more
A Grid-Based Benchmark for Evaluating Commonsense Spatial Reasoning
[Submitted on 2 Jul 2024 (v1), last revised 17 Jan 2025 (this version, v2)] View a PDF of the paper ...
Read more
[2309.10444] Exploring Iterative Enhancement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language Models
[Submitted on 19 Sep 2023 (v1), last revised 17 Jan 2025 (this version, v5)] View a PDF of the paper ...
Read more
How Censorship and Domain Adaptation Affect the Detection of Machine-Generated Tweets
[Submitted on 25 Jun 2024 (v1), last revised 15 Jan 2025 (this version, v3)] View a PDF of the paper ...
Read more
