Papers
10,171 papers found
From Detection to Diagnosis: Advancing Hallucination Analysis with Automated Data Synthesis
Yanyi Liu, Qingwen Yang, Tiezheng Guo et al.
SpecDetect: Simple, Fast, and Training-Free Detection of LLM-Generated Text via Spectral Analysis
Haitong Luo, Weiyao Zhang, Suhang Wang et al.
BiCA: Effective Biomedical Dense Retrieval with Citation-Aware Hard Negatives
Aarush Sinha, Pavan Kumar S, Roshan Balaji et al.
Causal Reward Adjustment: Mitigating Reward Hacking in External Reasoning via Backdoor Correction
Ruike Song, Zeen Song, Huijie Guo et al.
Beyond Plain Demos: A Demo-Centric Anchoring Paradigm for In-Context Learning in Alzheimer’s Disease Detection
Puzhen Su, Haoran Yin, Miao Yongzhu et al.
Enhancing Pre-training Data Detection in LLMs Through Discriminative and Symmetric Prefix Selection
Kai Sun, Yuxin Lin, Bo Dong et al.
Efficient Hallucination Detection: Adaptive Bayesian Estimation of Semantic Entropy with Guided Semantic Exploration
Qiyao Sun, Xingming Li, Xixiang He et al.
Joint Evaluation of Answer and Reasoning Consistency for Hallucination Detection in Large Reasoning Models
Changyue Wang, Weihang Su, Qingyao Ai et al.
Multi-level Style Preference Optimization: An Adaptive Detection Framework for Human-Machine Hybrid Text
Zehao Wang, Lianwei Wu, Wenbo An et al.
GEM: Gaussian Embedding Modeling for Out-of-Distribution Detection in GUI Agents
Zheng Wu, Pengzhou Cheng, Zongru Wu et al.
MMBERT: Scaled Mixture-of-Experts Multimodal BERT for Robust Chinese Hate Speech Detection Under Cloaking Perturbations
Qiyao Xue, Yuchen Dou, Zheyuan Ryan Shi et al.
Global-Local Confidence Fusion for Hallucination Detection in Mathematical Reasoning Task
Bo Zhang, Cong Gao, Linkang Yang et al.
Induce, Align, Predict: Zero-Shot Stance Detection via Cognitive Inductive Reasoning
Bowen Zhang, Jun Ma, Fuqiang Niu et al.
LLM-CAS: Dynamic Neuron Perturbation for Real-Time Hallucination Correction
Jusheng Zhang, Ningyuan Liu, Yijia Fan et al.
MSME: A Multi-Stage Multi-Expert Framework for Zero-Shot Stance Detection
Yuanshuo Zhang, Aohua Li, Bo Chen et al.
HyperGLLM: An Efficient Framework for Endpoint Threat Detection via Hypergraph-Enhanced Large Language Models
Hongyi Zhou, Jianfeng Pan, Min Peng et al.
S³-MSD: Large Vision-Language Model for Explainable and Generalizable Multi-modal Sarcasm Detection
Zhihong Zhu, Fan Zhang, Yunyan Zhang et al.
MOBA: A Material-Oriented Backdoor Attack Against LiDAR-Based 3D Object Detection Systems
Saket Sanjeev Chaturvedi, Gaurav Bagwe, Lan Emily Zhang et al.
DySy-Det: A Synergistic Framework with Dynamic Reconstruction-Path Consistency for AI-Generated Image Detection
Fanli Jin, Feng Lin, Gaojian Wang et al.
Model-Agnostic Sentiment Distribution Stability Analysis for Robust LLM-Generated Texts Detection
Siyuan Li, Xi Lin, Guangyan Li et al.
Beyond Binary Classification: A Semi-supervised Approach to Generalized AI-generated Image Detection
Hong-Hanh Nguyen-Le, Van-Tuan Tran, Thuc D. Nguyen et al.
ConfGuard: A Simple and Effective Backdoor Detection for Large Language Models
Zihan Wang, Rui Zhang, Hongwei Li et al.
Detect All-Type Deepfake Audio: Wavelet Prompt Tuning for Enhanced Auditory Perception
Yuankun Xie, Ruibo Fu, Xiaopeng Wang et al.
Beyond Semantic Features: Pixel-level Mapping for Generalized AI-Generated Image Detection
Chenming Zhou, Jiaan Wang, Yu Li et al.
Conformal Prediction for Multi-Source Detection on a Network
Xingchao Jian, Purui Zhang, Lan Tian et al.