Papers
176,624 papers found
Detecting Continuously Evolving Scam Calls under Limited Annotation: A LLM-Augmented Expert Rule Framework
Haoyu Ma, Qinliang Su, Minhua Huang et al.
Detecting Conversational Mental Manipulation with Intent-Aware Prompting
Jiayuan Ma, Hongbin Na, Zimu Wang et al.
Detecting Corpus-Level Knowledge Inconsistencies in Wikipedia with Large Language Models
Sina Semnani, Jirayu Burapacheep, Arpandeep Khatua et al.
Detecting deepfakes and false ads through analysis of text and social engineering techniques
Alicja Martinek, Ewelina Bartuzi-Trokielewicz
Detecting Emotional Incongruity of Sarcasm by Commonsense Reasoning
Ziqi Qiu, Jianxing Yu, Yufeng Zhang et al.
Detecting Hallucination in Large Language Models Through Deep Internal Representation Analysis
Luan Zhang, Dandan Song, Zhijing Wu et al.
Detecting Hallucinations in Scientific Claims by Combining Prompting Strategies and Internal State Classification
Yupeng Cao, Chun-Nam Yu, K.p. Subbalakshmi
Detecting Honkadori based on Waka Embeddings
Hayato Ogawa, Kaito Horio, Daisuke Kawahara
Detecting Hyperpartisanship and Rhetorical Bias in Climate Journalism: A Sentence-Level Italian Dataset
Michele Joshua Maggini, Davide Bassi, Pablo Gamallo
Detecting Illicit Massage Businesses by Leveraging Graph Machine Learning
Vasuki Garg, Osman Y. Özaltın, Maria E. Mayorga et al.
Detecting Inconsistencies in Narrative Elements of Cross Lingual Nakba Texts
Nada Hamarsheh, Zahia Elabour, Aya Murra et al.
Detecting Knowledge Boundary of Vision Large Language Models by Sampling-Based Inference
Zhuo Chen, Xinyu Wang, Yong Jiang et al.
Detecting Legal Citations in United Kingdom Court Judgments
Holli Sargeant, Andreas Östling, Måns Magnusson
Detecting LLM Hallucination Through Layer-wise Information Deficiency: Analysis of Ambiguous Prompts and Unanswerable Questions
Hazel Kim, Tom A. Lamb, Adel Bibi et al.
Detecting Manipulation in Ukrainian Telegram: A Transformer-Based Approach to Technique Classification and Span Identification
Md. Abdur Rahman, Md Ashiqur Rahman
Detecting Music Performance Errors with Transformers
Benjamin Shiue-Hal Chou, Purvish Jajal, Nicholas John Eliopoulos et al.
Detecting Omissions in LLM-Generated Medical Summaries
Achir Oukelmoun, Nasredine Semmar, Gaël de Chalendar et al.
Detecting Open World Objects via Partial Attribute Assignment
Muli Yang, Gabriel James Goenawan, Huaiyuan Qin et al.
Detecting Origin Attribution for Text-to-Image Diffusion Models
Katherine Xu, Lingzhi Zhang, Jianbo Shi
Detecting Out-of-Distribution Through the Lens of Neural Collapse
Litian Liu, Yao Qin
Detecting Referring Expressions in Visually Grounded Dialogue with Autoregressive Language Models
Bram Willemsen, Gabriel Skantze
Detecting Sexism in Tweets: A Sentiment Analysis and Graph Neural Network Approach
Diana P. Madera-Espíndola, Zoe Caballero-Domínguez, Valeria J. Ramírez-Macías et al.
Detecting Sockpuppetry on Wikipedia Using Meta-Learning
Luc Raszewski, Christine de Kock
Detecting Stealthy Backdoor Samples based on Intra-class Distance for Large Language Models
Jinwen Chen, Hainan Zhang, Fei Sun et al.