From Variance to Invariance: Qualitative Content Analysis for Narrative Graph Annotation
arXiv:2603.01930v1 Announce Type: cross Abstract: Narratives in news discourse play a critical role in shaping public understanding of economic events,…
Real Money, Fake Models: Deceptive Model Claims in Shadow APIs
arXiv:2603.01919v1 Announce Type: cross Abstract: Access to frontier large language models (LLMs), such as GPT-5 and Gemini-2.5, is often hindered…
Pseudo Contrastive Learning for Diagram Comprehension in Multimodal Models
arXiv:2602.23589v2 Announce Type: replace-cross Abstract: Recent multimodal models such as Contrastive Language-Image Pre-training (CLIP) have shown remarkable ability to align…
HumanMCP: A Human-Like Query Dataset for Evaluating MCP Tool Retrieval Performance
arXiv:2602.23367v1 Announce Type: new Abstract: Model Context Protocol (MCP) servers contain a collection of thousands of open-source standardized tools, linking…
Conformalized Neural Networks for Federated Uncertainty Quantification under Dual Heterogeneity
arXiv:2602.23296v2 Announce Type: replace-cross Abstract: Federated learning (FL) faces challenges in uncertainty quantification (UQ). Without reliable UQ, FL systems risk…
Offline-to-Online Multi-Agent Reinforcement Learning with Offline Value Function Memory and Sequential Exploration
arXiv:2410.19450v2 Announce Type: replace Abstract: Offline-to-Online Reinforcement Learning has emerged as a powerful paradigm, leveraging offline data for initialization and…
Do LLMs Benefit From Their Own Words?
arXiv:2602.24287v1 Announce Type: cross Abstract: Multi-turn interactions with large language models typically retain the assistant’s own past responses in the…
MoDora: Tree-Based Semi-Structured Document Analysis System
arXiv:2602.23061v2 Announce Type: replace-cross Abstract: Semi-structured documents integrate diverse interleaved data elements (e.g., tables, charts, hierarchical paragraphs) arranged in various…