Papers
17,345 papers found
Out-of-Context Misinformation Detection via Variational Domain-Invariant Learning with Test-Time Training
Xi Yang, Han Zhang, Zhijian Lin et al.
Leveraging Failed Samples: A Few-Shot and Training-Free Framework for Generalized Deepfake Detection
Shibo Yao, Renshuai Tao, Xiaolong Zheng et al.
An Invariant Latent Space Perspective on Language Model Inversion
Wentao Ye, Jiaqi Hu, Haobo Wang et al.
DualFete: Revisiting Teacher-Student Interactions from a Feedback Perspective for Semi-supervised Medical Image Segmentation
Le Yi, Wei Huang, Lei Zhang et al.
SFGA: Similarity-Constrained Fusion Learning for Unsupervised Anomaly Detection in Multiplex Graphs
Huiliang Zhai, Xiangyi Teng, Jing Liu
ADAPT: Adaptive Decentralized Architecture with Perception-Aligned Training for Structural Generalization in Multi-Agent RL
Zhixiang Zhang, Shuo Chen, Yexin Li et al.
Differentiable Sparse Identification of Lagrangian Dynamics
Zitong Zhang, Hao Sun
Distribution Shift Is Key to Learning Invariant Prediction
Hong Zheng, Fei Teng
TRACE: A Generalizable Drift Detector for Streaming Data-Driven Optimization
Yuan-Ting Zhong, Ting Huang, Xiaolin Xiao et al.
Structure Detection for Contextual Reinforcement Learning
Tianyue Zhou, Jung-Hoon Cho, Cathy Wu
Hierarchical Dataset Selection for High-Quality Data Sharing
Xiaona Zhou, Yingyan Zeng, Ran Jin et al.
RoS-Guard: Robust and Scalable Online Change Detection with Delay-Optimal Guarantees
Zelin Zhu, Yancheng Huang, Kai Yang
Efficient Multiagent Planning via Shared Action Suggestions
Dylan M. Asmar, Mykel J. Kochenderfer
Graph Attention-Guided Search for Dense Multi-Agent Pathfinding
Rishabh Jain, Keisuke Okumura, Michael Amir et al.
SEVADE: Self-Evolving Multi-Agent Analysis with Decoupled Evaluation for Hallucination-Resistant Sarcasm Detection
Ziqi Liu, Ziyang Zhou, Yilin Li et al.
A Graph-Theoretical Perspective on Law Design for Multiagent Systems
Qi Shi, Pavel Naumov
MAMA-Memeia! Multi-Aspect Multi-Agent Collaboration for Depressive Symptoms Identification in Memes
Siddhant Agarwal, Adya Dhuler, Polly Ruhnke et al.
HLPD: Aligning LLMs to Human Language Preference for Machine-Revised Text Detection
Fangqi Dai, Xingjian Jiang, Zizhuang Deng
MemGuide: Intent-Driven Memory Selection for Goal-Oriented Multi-Session LLM Agents
Yiming Du, Bingbing Wang, Yang He et al.
Seeing Is Believing: Rich-Context Hallucination Detection for MLLMs via Backward Visual Grounding
Pinxue Guo, Chongruo Wu, Xinyu Zhou et al.
LaTeX2Layout: High-Fidelity, Scalable Document Layout Annotation Pipeline for Layout Detection
Feijiang Han, Zelong Wang, Bowen Wang et al.
ConInstruct: Evaluating Large Language Models on Conflict Detection and Resolution in Instructions
Xingwei He, Qianru Zhang, Pengfei Chen et al.
DUP: Detection-guided Unlearning for Backdoor Purification in Language Models
Man Hu, Yahui Ding, Yatao Yang et al.
AutoTool: Efficient Tool Selection for Large Language Model Agents
Jingyi Jia, Qinbin Li
Importance-Aware Data Selection for Efficient LLM Instruction Tuning
Tingyu Jiang, Shen Li, Yiyao Song et al.