Papers
19,421 papers found
DASH: Detection and Assessment of Systematic Hallucinations of VLMs
Maximilian Augustin, Yannic Neuhaus, Matthias Hein
Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks
Shiyu Liang, Yixuan Li, R. Srikant
Revisiting Salient Object Detection: Simultaneous Detection, Ranking, and Subitizing of Multiple Salient Objects
Md Amirul Islam, Mahmoud Kalash, Neil D. B. Bruce
C-Watcher: A Framework for Early Detection of High-Risk Neighborhoods Ahead of COVID-19 Outbreak
Congxi Xiao, Jingbo Zhou, Jizhou Huang et al.
Exploring Supervised Approaches to the Detection of Anthropomorphic Language in the Reporting of NLP Venues
Matthew Shardlow, Ashley Williams, Charlie Roadhouse et al.
Automatic Detection of Rhythmic Features in Pathological Speech of MCI and Dementia Patients
Marica Belmonte, Gloria Gagliardi, Dimitrios Kokkinakis et al.
Detection of Glottal Activity Errors in Production of Stop Consonants in Children with Cleft Lip and Palate
C M Vikram, S R Mahadeva Prasanna, Ajish K Abraham et al.
How to Overcome Curse-of-Dimensionality for Out-of-Distribution Detection?
Soumya Suvra Ghosal, Yiyou Sun, Yixuan Li
Density of States Estimation for Out of Distribution Detection
Warren Morningstar, Cusuh Ham, Andrew Gallagher et al.
Equipping Vision Foundation Model with Mixture of Experts for Out-of-Distribution Detection
Shizhen Zhao, Jiahui Liu, Xin Wen et al.
Learning with Mixture of Prototypes for Out-of-Distribution Detection
Haodong Lu, Dong Gong, Shuo Wang et al.
Detection and Mitigation of the Negative Impact of Dataset Extractivity on Abstractive Summarization
Yubin Ge, Sullam Jeoung, Ly Dinh et al.
Development of Numerical Error Detection Tasks to Analyze the Numerical Capabilities of Language Models
Taku Sakamoto, Saku Sugawara, Akiko Aizawa
NLPineers@ NLU of Devanagari Script Languages 2025: Hate Speech Detection using Ensembling of BERT-based models
Anmol Guragain, Nadika Poudel, Rajesh Piryani et al.
University of Bucharest Team at Semeval-2022 Task4: Detection and Classification of Patronizing and Condescending Language
Tudor Dumitrascu, Raluca-Andreea Gînga, Bogdan Dobre et al.
University of Bucharest Team at Semeval-2022 Task4: Detection and Classification of Patronizing and Condescending Language
Tudor Dumitrascu, Raluca-Andreea Gînga, Bogdan Dobre et al.
On the Risk of Evidence Pollution for Malicious Social Text Detection in the Era of LLMs
Herun Wan, Minnan Luo, Zhixiong Su et al.
Exploring the Bounds of the Utility of Context for Object Detection
Ehud Barnea, Ohad Ben-Shahar
An Examination of Fairness of AI Models for Deepfake Detection
Loc Trinh, Yan Liu
Figurative Usage Detection of Symptom Words to Improve Personal Health Mention Detection
Adith Iyer, Aditya Joshi, Sarvnaz Karimi et al.
Early Detection of Fake News by Utilizing the Credibility of News, Publishers, and Users based on Weakly Supervised Learning
Chunyuan Yuan, Qianwen Ma, Wei Zhou et al.
Automatic Detection of Borrowings in Low-Resource Languages of the Caucasus: Andic branch
Konstantin Zaitsev, Anzhelika Minchenko
An analysis of eye-movements during reading for the detection of mild cognitive impairment
Kathleen C. Fraser, Kristina Lundholm Fors, Dimitrios Kokkinakis et al.