“Are You Sure?”: An Empirical Study of Human Perception Vulnerability in LLM-Driven Agentic Systems
arXiv:2602.21127v1 Announce Type: cross Abstract: Large language model (LLM) agents are rapidly becoming trusted copilots in high-stakes domains like software…
A Problem-Oriented Perspective and Anchor Verification for Code Optimization
arXiv:2406.11935v3 Announce Type: replace-cross Abstract: Large Language Models (LLMs) have shown remarkable capabilities in solving various programming tasks, such as…
Voices of the Mountains: Deep Learning-Based Vocal Error Detection System for Kurdish Maqams
arXiv:2602.20744v1 Announce Type: cross Abstract: Maqam, a singing type, is a significant component of Kurdish music. A maqam singer receives…
DesignBench: A Comprehensive Benchmark for MLLM-based Front-end Code Generation
arXiv:2506.06251v2 Announce Type: replace-cross Abstract: Multimodal Large Language Models (MLLMs) have demonstrated remarkable capabilities in automated front-end engineering, e.g., generating…
Conditional diffusion with locality-aware modal alignment for generating diverse protein conformational ensembles
Nature Machine Intelligence, Published online: 25 February 2026; doi:10.1038/s42256-026-01198-9 Wang et al. introduce Mac-Diff, a conditional diffusion model with locality-aware…
Revisiting Graph Neural Networks for Graph-level Tasks: Taxonomy, Empirical Study, and Future Directions
arXiv:2501.00773v2 Announce Type: replace-cross Abstract: Graphs are fundamental data structures for modeling complex interactions in domains such as social networks,…
ToolSelf: Unifying Task Execution and Self-Reconfiguration via Tool-Driven Intrinsic Adaptation
arXiv:2602.07883v2 Announce Type: replace Abstract: Agentic systems powered by Large Language Models (LLMs) have demonstrated remarkable potential in tackling complex,…
LRR-Bench: Left, Right or Rotate? Vision-Language models Still Struggle With Spatial Understanding Tasks
arXiv:2507.20174v3 Announce Type: replace-cross Abstract: Real-world applications, such as autonomous driving and humanoid robot manipulation, require precise spatial perception. However,…
DICArt: Advancing Category-level Articulated Object Pose Estimation in Discrete State-Spaces
arXiv:2602.19565v1 Announce Type: cross Abstract: Articulated object pose estimation is a core task in embodied AI. Existing methods typically regress…
Verifying Chain-of-Thought Reasoning via Its Computational Graph
arXiv:2510.09312v2 Announce Type: replace-cross Abstract: Current Chain-of-Thought (CoT) verification methods predict reasoning correctness based on outputs (black-box) or activations (gray-box),…