Papers
Detect, Disambiguate, and Translate: On-Demand Visual Reasoning for Multimodal Machine Translation with Large Vision-Language Models
Danyang Liu, Fanjie Kong, Xiaohang Sun et al.
Detecting Adversarial Data Using Perturbation Forgery
Qian Wang, Chen Li, Yuchen Luo et al.
Detecting and Corrupting Convolution-based Unlearnable Examples
Minghui Li, Xianlong Wang, Zhifei Yu et al.
Detecting and Mitigating Challenges in Zero-Shot Video Summarization with Video LLMs
Luca Cagliero, Lorenzo Vaiani, Eliana Pastor et al.
Detecting and Mitigating Hallucination in Large Vision Language Models via Fine-Grained AI Feedback
Wenyi Xiao, Ziwei Huang, Leilei Gan et al.
Detecting Backdoor Attacks in Federated Learning via Direction Alignment Inspection
Jiahao Xu, Zikai Zhang, Rui Hu
Detecting Backdoor Samples in Contrastive Language Image Pretraining
Hanxun Huang, Sarah Monazam Erfani, Yige Li et al.
Detecting Bias and Intersectional Bias in Italian Word Embeddings and Language Models
Alexandre Puttick, Mascha Kurpicz-Briki
Detecting Child Objectification on Social Media: Challenges in Language Modeling
Miriam Schirmer, Angelina Voggenreiter, Juergen Pfeffer et al.
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