GraphBit: A Graph-based Agentic Framework for Non-Linear Agent Orchestration
arXiv:2605.13848v1 Announce Type: new Abstract: Agentic LLM frameworks that rely on prompted orchestration, where the model itself determines workflow transitions,…
Query-Conditioned Test-Time Self-Training for Large Language Models
arXiv:2605.13369v2 Announce Type: replace-cross Abstract: Large language models (LLMs) are typically deployed with fixed parameters, and their performance is often…
The Pitfalls of KV Cache Compression
arXiv:2510.00231v2 Announce Type: replace-cross Abstract: KV cache compression promises increased throughput and efficiency with negligible loss in performance. While the…
Position: Behavioural Assurance Cannot Verify the Safety Claims Governance Now Demands
arXiv:2605.15164v1 Announce Type: cross Abstract: This position paper argues that behavioural assurance, even when carefully designed, is being asked to…
Image Generators are Generalist Vision Learners
arXiv:2604.20329v2 Announce Type: replace-cross Abstract: Recent works show that image and video generators exhibit zero-shot visual understanding behaviors, in a…
Numerical exploration of the range of shape functionals using neural networks
arXiv:2602.14881v2 Announce Type: replace-cross Abstract: We introduce a novel numerical framework for the exploration of Blaschke–Santal’o diagrams, which are efficient…
ENSEMBITS: an alphabet of protein conformational ensembles
arXiv:2605.13789v2 Announce Type: replace-cross Abstract: Protein structure tokenizers (PSTs) are workhorses in protein language modeling, function prediction, and evolutionary analysis.…
VLRS-Bench: A Vision-Language Reasoning Benchmark for Remote Sensing
arXiv:2602.07045v2 Announce Type: replace-cross Abstract: Recent advancements in Multimodal Large Language Models (MLLMs) have enabled complex reasoning. However, existing remote…
IntentVLA: Short-Horizon Intent Modeling for Aliased Robot Manipulation
arXiv:2605.14712v1 Announce Type: cross Abstract: Robot imitation data are often multimodal: similar visual-language observations may be followed by different action…
Vision-Core Guided Contrastive Learning for Balanced Multi-modal Prognosis Prediction of Stroke
arXiv:2605.14710v1 Announce Type: cross Abstract: Deep learning and multi-modal fusion have demonstrated transformative potential in medical diagnosis by integrating diverse…