Saved in:
| Main Authors: | Zhao, Zengqi, Xia, Weidi, Wei, En, Zhang, Yan, Mo, Jane, Zhang, Tiannan, Dai, Yuanqin, Chen, Zexi, Tao, Yiran, Ren, Simiao |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2603.01433 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Out of the box age estimation through facial imagery: A Comprehensive Benchmark of Vision-Language Models vs. out-of-the-box Traditional Architectures
by: Ren, Simiao, et al.
Published: (2026)
by: Ren, Simiao, et al.
Published: (2026)
Exploring Specular Reflection Inconsistency for Generalizable Face Forgery Detection
by: Fei, Hongyan, et al.
Published: (2026)
by: Fei, Hongyan, et al.
Published: (2026)
AVFakeBench: A Comprehensive Audio-Video Forgery Detection Benchmark for AV-LMMs
by: Xia, Shuhan, et al.
Published: (2025)
by: Xia, Shuhan, et al.
Published: (2025)
MMTS-BENCH: A Comprehensive Benchmark for Time Series Understanding and Reasoning
by: Yin, Yao, et al.
Published: (2026)
by: Yin, Yao, et al.
Published: (2026)
AR-BENCH: Benchmarking Legal Reasoning with Judgment Error Detection, Classification and Correction
by: Li, Yifei, et al.
Published: (2026)
by: Li, Yifei, et al.
Published: (2026)
UNIDOC-BENCH: A Unified Benchmark for Document-Centric Multimodal RAG
by: Peng, Xiangyu, et al.
Published: (2025)
by: Peng, Xiangyu, et al.
Published: (2025)
UNIKIE-BENCH: Benchmarking Large Multimodal Models for Key Information Extraction in Visual Documents
by: Ji, Yifan, et al.
Published: (2026)
by: Ji, Yifan, et al.
Published: (2026)
GPT4o-Receipt: A Dataset and Human Study for AI-Generated Document Forensics
by: Zhang, Yan, et al.
Published: (2026)
by: Zhang, Yan, et al.
Published: (2026)
Fine-Grained DINO Tuning with Dual Supervision for Face Forgery Detection
by: Zhang, Tianxiang, et al.
Published: (2025)
by: Zhang, Tianxiang, et al.
Published: (2025)
ReasonBENCH: Benchmarking the (In)Stability of LLM Reasoning
by: Potamitis, Nearchos, et al.
Published: (2025)
by: Potamitis, Nearchos, et al.
Published: (2025)
Learning to Discover Forgery Cues for Face Forgery Detection
by: Tian, Jiahe, et al.
Published: (2024)
by: Tian, Jiahe, et al.
Published: (2024)
JailBench: A Comprehensive Chinese Security Assessment Benchmark for Large Language Models
by: Liu, Shuyi, et al.
Published: (2025)
by: Liu, Shuyi, et al.
Published: (2025)
Revisiting Face Forgery Detection: From Facial Representation to Forgery Detection
by: Guo, Zonghui, et al.
Published: (2024)
by: Guo, Zonghui, et al.
Published: (2024)
DI-BENCH: Benchmarking Large Language Models on Dependency Inference with Testable Repositories at Scale
by: Zhang, Linghao, et al.
Published: (2025)
by: Zhang, Linghao, et al.
Published: (2025)
AIForge-Doc: A Benchmark for Detecting AI-Forged Tampering in Financial and Form Documents
by: Wu, Jiaqi, et al.
Published: (2026)
by: Wu, Jiaqi, et al.
Published: (2026)
Forensics-Bench: A Comprehensive Forgery Detection Benchmark Suite for Large Vision Language Models
by: Wang, Jin, et al.
Published: (2025)
by: Wang, Jin, et al.
Published: (2025)
Zero-shot Composed Text-Image Retrieval
by: Liu, Yikun, et al.
Published: (2023)
by: Liu, Yikun, et al.
Published: (2023)
EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models
by: Wang, Zekun, et al.
Published: (2025)
by: Wang, Zekun, et al.
Published: (2025)
Can a Teenager Fool an AI? Evaluating Low-Cost Cosmetic Attacks on Age Estimation Systems
by: Shen, Xingyu, et al.
Published: (2026)
by: Shen, Xingyu, et al.
Published: (2026)
ForgeLens: Data-Efficient Forgery Focus for Generalizable Forgery Image Detection
by: Chen, Yingjian, et al.
Published: (2024)
by: Chen, Yingjian, et al.
Published: (2024)
ForgeryGPT: A Multimodal LLM for Interpretable Image Forgery Detection and Localization
by: Zhang, Fanrui, et al.
Published: (2024)
by: Zhang, Fanrui, et al.
Published: (2024)
RAT-Bench: A Comprehensive Benchmark for Text Anonymization
by: Krčo, Nataša, et al.
Published: (2026)
by: Krčo, Nataša, et al.
Published: (2026)
So-Fake: Benchmarking and Explaining Social Media Image Forgery Detection
by: Huang, Zhenglin, et al.
Published: (2025)
by: Huang, Zhenglin, et al.
Published: (2025)
U2-BENCH: Benchmarking Large Vision-Language Models on Ultrasound Understanding
by: Le, Anjie, et al.
Published: (2025)
by: Le, Anjie, et al.
Published: (2025)
TurnBench-MS: A Benchmark for Evaluating Multi-Turn, Multi-Step Reasoning in Large Language Models
by: Zhang, Yiran, et al.
Published: (2025)
by: Zhang, Yiran, et al.
Published: (2025)
SATA-BENCH: Select All That Apply Benchmark for Multiple Choice Questions
by: Xu, Weijie, et al.
Published: (2025)
by: Xu, Weijie, et al.
Published: (2025)
STEER-BENCH: A Benchmark for Evaluating the Steerability of Large Language Models
by: Chen, Kai, et al.
Published: (2025)
by: Chen, Kai, et al.
Published: (2025)
FaithSteer-BENCH: A Deployment-Aligned Stress-Testing Benchmark for Inference-Time Steering
by: Ding, Zikang, et al.
Published: (2026)
by: Ding, Zikang, et al.
Published: (2026)
Field-Localized Forgery Detection for Digital Identity Documents
by: Kumar, Abhishek, et al.
Published: (2026)
by: Kumar, Abhishek, et al.
Published: (2026)
MGFFD-VLM: Multi-Granularity Prompt Learning for Face Forgery Detection with VLM
by: Chen, Tao, et al.
Published: (2025)
by: Chen, Tao, et al.
Published: (2025)
From Proteomic Big Data to AI Proteomics
by: Guo, Tiannan
Published: (2026)
by: Guo, Tiannan
Published: (2026)
CMFDFormer: Transformer-based Copy-Move Forgery Detection with Continual Learning
by: Liu, Yaqi, et al.
Published: (2023)
by: Liu, Yaqi, et al.
Published: (2023)
RUST-BENCH: Benchmarking LLM Reasoning on Unstructured Text within Structured Tables
by: Abhyankar, Nikhil, et al.
Published: (2025)
by: Abhyankar, Nikhil, et al.
Published: (2025)
CaT-BENCH: Benchmarking Language Model Understanding of Causal and Temporal Dependencies in Plans
by: Lal, Yash Kumar, et al.
Published: (2024)
by: Lal, Yash Kumar, et al.
Published: (2024)
LMR-BENCH: Evaluating LLM Agent's Ability on Reproducing Language Modeling Research
by: Yan, Shuo, et al.
Published: (2025)
by: Yan, Shuo, et al.
Published: (2025)
Railway Artificial Intelligence Learning Benchmark (RAIL-BENCH): A Benchmark Suite for Perception in the Railway Domain
by: Bätz, Annika, et al.
Published: (2026)
by: Bätz, Annika, et al.
Published: (2026)
A Large-scale Universal Evaluation Benchmark For Face Forgery Detection
by: Bei, Yijun, et al.
Published: (2024)
by: Bei, Yijun, et al.
Published: (2024)
Benchmarking Joint Face Spoofing and Forgery Detection with Visual and Physiological Cues
by: Yu, Zitong, et al.
Published: (2022)
by: Yu, Zitong, et al.
Published: (2022)
WMamba: Wavelet-based Mamba for Face Forgery Detection
by: Peng, Siran, et al.
Published: (2025)
by: Peng, Siran, et al.
Published: (2025)
A Sanity Check for Multi-In-Domain Face Forgery Detection in the Real World
by: Cheng, Jikang, et al.
Published: (2025)
by: Cheng, Jikang, et al.
Published: (2025)
Similar Items
-
Out of the box age estimation through facial imagery: A Comprehensive Benchmark of Vision-Language Models vs. out-of-the-box Traditional Architectures
by: Ren, Simiao, et al.
Published: (2026) -
Exploring Specular Reflection Inconsistency for Generalizable Face Forgery Detection
by: Fei, Hongyan, et al.
Published: (2026) -
AVFakeBench: A Comprehensive Audio-Video Forgery Detection Benchmark for AV-LMMs
by: Xia, Shuhan, et al.
Published: (2025) -
MMTS-BENCH: A Comprehensive Benchmark for Time Series Understanding and Reasoning
by: Yin, Yao, et al.
Published: (2026) -
AR-BENCH: Benchmarking Legal Reasoning with Judgment Error Detection, Classification and Correction
by: Li, Yifei, et al.
Published: (2026)