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From the 1 of 22 linked papers with an AI index.

collaborators

22 papers

cs.CV2026

Veritas++: Value-aware On-Policy Distillation for Perception-Enhanced AIGI Detection

Hao Tan, Jun Lan, Zichang Tan +7

Veritas++ introduces a perception‑enhanced framework for detecting AI‑generated images by training models to capture fine‑grained visual details, semantic anomalies, and pixel‑leve…

cs.CV2026

Maintain Plasticity in Long-timescale Continual Test-time Adaptation

Yanshuo Wang, Xuesong Li, Jinguang Tong +5

Continual test-time domain adaptation (CTTA) aims to adjust pre-trained source models to perform well over time across non-stationary target environments. While previous methods ha…

cs.AI2026

RoCo-ACE: Rollout-Conditioned Online Distillation for Retention-Aware Knowledge Injection

Yan Hong, Wei Li, Kedong Xiu +6

Knowledge injection updates pretrained MLLMs with new factual or domain-specific knowledge, but fitting full authoritative answers can cause drift in non-updated behavior. Online d…

stat.ML2026

LoMC: Localized Multidirectional Correction for Refusal Suppression in Routed Foundation Models

Yan Hong, Kedong Xiu, Wei Li +6

We study controlled post-training refusal suppression in routed MoE and hybrid-MoE foundation models, aiming to increase non-refusal target-response behavior while preserving gener…

cs.AI2026

Causal Probing for Internal Visual Representations in Multimodal Large Language Models

Zehao Deng, Tianjie Ju, Zheng Wu +5

Despite the remarkable success of Multimodal Large Language Models (MLLMs) across diverse tasks, the internal mechanisms governing how they encode and ground distinct visual concep…

cs.CV2026

Locate-Then-Examine: Grounded Region Reasoning Improves Detection of AI-Generated Images

Yikun Ji, Yan Hong, Bowen Deng +5

The rapid growth of AI-generated imagery has blurred the boundary between real and synthetic content, raising practical concerns for digital integrity. Vision-language models (VLMs…