READER: Reasoning-Enhanced AI-Generated Text Detection
arXiv:2605.25281v2 Announce Type: replace-cross Abstract: Recent advances in large language models (LLMs) have made it increasingly difficult to distinguish human-written…
Beyond the Data Mesh Illusion: Designing Modern AI-augmented Lakehouses to Bridge the Gap Between Theory and Practice
arXiv:2605.27131v1 Announce Type: cross Abstract: Enterprise data platforms face an enduring tension between domain self-service and holistic governance. The data…
Deep-layer limit and stability analysis of the basic forward-backward-splitting induced network (II): learning problems
arXiv:2605.27133v1 Announce Type: cross Abstract: Deep unfolding neural networks derived from iterative optimization schemes and numerical ordinary/partial differential equations (ODEs/PDEs)…
SSDAU: Structured Semantic Data Augmentation for Joint Entity and Relation Extraction
arXiv:2605.23440v2 Announce Type: replace-cross Abstract: Joint Entity and Relation Extraction (JERE) is highly susceptible to weak generalization due to low-quality…
CausalFlow: Causal Attribution and Counterfactual Repair for LLM Agent Failures
arXiv:2605.25338v1 Announce Type: cross Abstract: Large language model (LLM) agents frequently fail on multi-step tasks involving reasoning, tool use, and…
A general tensor-structured compression scheme for efficient large language models
arXiv:2605.25344v1 Announce Type: cross Abstract: Large language models (LLMs) are dominated by dense linear transformations, whose storage, memory and computational…
CoSPlay: Cooperative Self-Play at Test-Time with Self-Generated Code and Unit Test
arXiv:2605.23491v2 Announce Type: replace-cross Abstract: Recently, Reinforcement Learning with Verifiable Rewards (RLVR) and Test-Time Scaling (TTS) have advanced LLM code…
In Search of the Ingredients of Open-Endedness: Replicating Picbreeder with Large Vision-Language Models
arXiv:2605.23908v1 Announce Type: new Abstract: We are in the midst of large-scale industrial and academic efforts to automate the processes…