Mesh Memory Protocol: Semantic Infrastructure for Multi-Agent LLM Systems
arXiv:2604.19540v1 Announce Type: cross Abstract: Teams of LLM agents increasingly collaborate on tasks spanning days or weeks: multi-day data-generation sprints…
Taming Actor-Observer Asymmetry in Agents via Dialectical Alignment
arXiv:2604.19548v1 Announce Type: cross Abstract: Large Language Model agents have rapidly evolved from static text generators into dynamic systems capable…
Sessa: Selective State Space Attention
arXiv:2604.18580v2 Announce Type: replace-cross Abstract: Modern sequence modeling is dominated by two families: Transformers, whose self-attention can access arbitrary elements…
On Solving the Multiple Variable Gapped Longest Common Subsequence Problem
arXiv:2604.18645v1 Announce Type: new Abstract: This paper addresses the Variable Gapped Longest Common Subsequence (VGLCS) problem, a generalization of the…
Learning the Riccati solution operator for time-varying LQR via Deep Operator Networks
arXiv:2604.18507v2 Announce Type: replace-cross Abstract: We propose a computational framework for replacing the repeated numerical solution of differential Riccati equations…
FaithLens: Detecting and Explaining Faithfulness Hallucination
arXiv:2512.20182v4 Announce Type: replace-cross Abstract: Recognizing whether outputs from large language models (LLMs) contain faithfulness hallucination is crucial for real-world…
Persona-Assigned Large Language Models Exhibit Human-Like Motivated Reasoning
arXiv:2506.20020v2 Announce Type: replace Abstract: Reasoning in humans is prone to biases due to underlying motivations like identity protection, that…
SOAR: Self-Correction for Optimal Alignment and Refinement in Diffusion Models
arXiv:2604.12617v2 Announce Type: replace-cross Abstract: The post-training pipeline for diffusion models currently has two stages: supervised fine-tuning (SFT) on curated…
AIFIND: Artifact-Aware Interpreting Fine-Grained Alignment for Incremental Face Forgery Detection
arXiv:2604.16207v1 Announce Type: cross Abstract: As forgery types continue to emerge consistently, Incremental Face Forgery Detection (IFFD) has become a…
Theory of Mind in Action: The Instruction Inference Task in Dynamic Human-Agent Collaboration
arXiv:2507.02935v3 Announce Type: replace-cross Abstract: Successful human-agent teaming relies on an agent being able to understand instructions given by a…