Emotional Modulation in Swarm Decision Dynamics
arXiv:2603.09963v1 Announce Type: cross Abstract: Collective decision-making in biological and human groups often emerges from simple interaction rules that amplify…
GraphKeeper: Graph Domain-Incremental Learning via Knowledge Disentanglement and Preservation
arXiv:2511.00097v2 Announce Type: replace-cross Abstract: Graph incremental learning (GIL), which continuously updates graph models by sequential knowledge acquisition, has garnered…
FinTexTS: Financial Text-Paired Time-Series Dataset via Semantic-Based and Multi-Level Pairing
arXiv:2603.02702v2 Announce Type: replace Abstract: The financial domain involves a variety of important time-series problems. Recently, time-series analysis methods that…
MASEval: Extending Multi-Agent Evaluation from Models to Systems
arXiv:2603.08835v1 Announce Type: new Abstract: The rapid adoption of LLM-based agentic systems has produced a rich ecosystem of frameworks (smolagents,…
CERES: A Probabilistic Early Warning System for Acute Food Insecurity
arXiv:2603.09425v1 Announce Type: cross Abstract: We present CERES (Calibrated Early-warning and Risk Estimation System), an automated probabilistic forecasting system for…
Common Sense vs. Morality: The Curious Case of Narrative Focus Bias in LLMs
arXiv:2603.09434v1 Announce Type: cross Abstract: Large Language Models (LLMs) are increasingly deployed across diverse real-world applications and user communities. As…
ImageEdit-R1: Boosting Multi-Agent Image Editing via Reinforcement Learning
arXiv:2603.08059v1 Announce Type: cross Abstract: With the rapid advancement of commercial multi-modal models, image editing has garnered significant attention due…
Autonomous AI Agents for Option Hedging: Enhancing Financial Stability through Shortfall Aware Reinforcement Learning
arXiv:2603.06587v1 Announce Type: new Abstract: The deployment of autonomous AI agents in derivatives markets has widened a practical gap between…
SAIL: Similarity-Aware Guidance and Inter-Caption Augmentation-based Learning for Weakly-Supervised Dense Video Captioning
arXiv:2603.05437v2 Announce Type: replace-cross Abstract: Weakly-Supervised Dense Video Captioning aims to localize and describe events in videos trained only on…
DSH-Bench: A Difficulty- and Scenario-Aware Benchmark with Hierarchical Subject Taxonomy for Subject-Driven Text-to-Image Generation
arXiv:2603.08090v1 Announce Type: cross Abstract: Significant progress has been achieved in subject-driven text-to-image (T2I) generation, which aims to synthesize new…