Many-Tier Instruction Hierarchy in LLM Agents
arXiv:2604.09443v2 Announce Type: replace-cross Abstract: Large language model agents receive instructions from many sources-system messages, user prompts, tool outputs, other…
Advancing Polish Language Modeling through Tokenizer Optimization in the Bielik v3 7B and 11B Series
arXiv:2604.10799v1 Announce Type: cross Abstract: The development of the Bielik v3 PL series, encompassing both the 7B and 11B parameter…
TInR: Exploring Tool-Internalized Reasoning in Large Language Models
arXiv:2604.10788v1 Announce Type: cross Abstract: Tool-Integrated Reasoning (TIR) has emerged as a promising direction by extending Large Language Models’ (LLMs)…
Interactive ASR: Towards Human-Like Interaction and Semantic Coherence Evaluation for Agentic Speech Recognition
arXiv:2604.09121v2 Announce Type: replace-cross Abstract: Recent years have witnessed remarkable progress in automatic speech recognition (ASR), driven by advances in…
OpenKedge: Governing Agentic Mutation with Execution-Bound Safety and Evidence Chains
arXiv:2604.08601v1 Announce Type: new Abstract: The rise of autonomous AI agents exposes a fundamental flaw in API-centric architectures: probabilistic systems…
SIM1: Physics-Aligned Simulator as Zero-Shot Data Scaler in Deformable Worlds
arXiv:2604.08544v2 Announce Type: replace-cross Abstract: Robotic manipulation with deformable objects represents a data-intensive regime in embodied learning, where shape, contact,…
Artificial intelligence can persuade people to take political actions
arXiv:2604.09200v1 Announce Type: cross Abstract: There is substantial concern about the ability of advanced artificial intelligence to influence people’s behaviour.…
Vision Transformers for Preoperative CT-Based Prediction of Histopathologic Chemotherapy Response Score in High-Grade Serous Ovarian Carcinoma
arXiv:2604.09197v1 Announce Type: cross Abstract: Purpose. High-grade serous ovarian carcinoma (HGSOC) is characterized by pronounced biological and spatial heterogeneity and…
QARIMA: A Quantum Approach To Classical Time Series Analysis
arXiv:2604.08277v2 Announce Type: replace-cross Abstract: We present a quantum-inspired ARIMA methodology that integrates quantum-assisted lag discovery with fixed-configuration variational quantum…
