4 papers
Reasoning Models Know When They're Right: Probing Hidden States for Self-Verification
Anqi Zhang, Yulin Chen, Jane Pan +4
Reasoning models have achieved remarkable performance on tasks like math and logical reasoning thanks to their ability to search during reasoning. However, they still suffer from o…
Structure-enhanced Contrastive Learning for Graph Clustering
Xunlian Wu, Jingqi Hu, Anqi Zhang +3
Graph clustering is a crucial task in network analysis with widespread applications, focusing on partitioning nodes into distinct groups with stronger intra-group connections than…
Adaptive Pre-training Data Detection for Large Language Models via Surprising Tokens
Anqi Zhang, Chaofeng Wu
While large language models (LLMs) are extensively used, there are raising concerns regarding privacy, security, and copyright due to their opaque training data, which brings the p…
Background Adaptation with Residual Modeling for Exemplar-Free Class-Incremental Semantic Segmentation
Anqi Zhang, Guangyu Gao
Class Incremental Semantic Segmentation~(CISS), within Incremental Learning for semantic segmentation, targets segmenting new categories while reducing the catastrophic forgetting…