arXiv:2608.06632v1 Announce Type: new Abstract: Industrial recommendation systems predominantly adopt a passive ranking paradigm that infers user…
Tag: AI
NxN E-valuation: Hypothesis Certification via a Conformal CRT Null
arXiv:2608.06621v1 Announce Type: new Abstract: We propose NxN E-valuation, a handy, e-value-based hypothesis-certification algorithm that lets a…
Divergent Response Modes in Frontier Language Models Under Steering Pressure
arXiv:2608.06578v1 Announce Type: new Abstract: Frontier language models are trained using distinct data, objectives, and safety pipelines. Whether these…
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…