11 posts were published in the last hour 4:32 : Can MLLMs Decode the Creative Leap? Introducing C4 for Cross-Concept Understanding 4:32 : TaskSense: Focusing on What Matters in World Models 4:31 : KNOWPLAN: Knowledge-Driven AI Agents for Smart Degree…
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Can MLLMs Decode the Creative Leap? Introducing C4 for Cross-Concept Understanding
arXiv:2608.06501v1 Announce Type: new Abstract: Creative capabilities of MLLMs matter in design, communication, education, and human–AI collaboration,…
TaskSense: Focusing on What Matters in World Models
arXiv:2608.06544v1 Announce Type: new Abstract: World models for visual control typically learn compact latent states by reconstructing observations,…
KNOWPLAN: Knowledge-Driven AI Agents for Smart Degree Pathway Planning
arXiv:2608.06530v1 Announce Type: new Abstract: Planning a degree from official university sources requires solving two problems in order. The…
Learning to Predict Middle-Layer Attention in MLLMs for Visual Token Prunin
arXiv:2608.06411v1 Announce Type: new Abstract: Multimodal large language models (MLLMs) achieve strong performance across diverse vision-language tasks,…
WebGrader: Training LLMs for Web Development with Self-Evolving Programmatic Grader
arXiv:2608.06474v1 Announce Type: new Abstract: Large language models increasingly generate complete websites from natural-language descriptions, and…
Interpretable Unsupervised Community Detection with LLM-Symbolized Structured Processes
arXiv:2608.06402v1 Announce Type: new Abstract: Community detection is a fundamental task in graph analytics that aims to identify cohesive groups of…
Towards Multi-Label Graph Foundation Models: from Single-Vector Representation Learning to Multi-Semantic Basis Learning
arXiv:2608.06394v1 Announce Type: new Abstract: Multi-label node classification is an important yet challenging task in graph learning, where nodes…
ADIAS: Automated Design of Interactive Agentic Systems
arXiv:2608.06410v1 Announce Type: new Abstract: Automated agent design improves agent harnesses through iterative revision, evaluation, and feedback…
Beyond Routing Weights: Faithful Response-Level Interpretation of Mixture-of-Experts Reward Models via Contribution Contrast
arXiv:2608.06400v1 Announce Type: new Abstract: Reward models are central to learning from human preferences, yet identifying what drives their…