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ArXiv cs.AIDev.to AIForbes InnovationDev.to · FORUM WEBMedium · AIMedium · Programming
ArXiv cs.AI
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1d ago
Crystal structure prediction using graph neural combinatorial optimization
arXiv:2604.23921v1 Announce Type: cross Abstract: Crystalline materials are widely used in technological applications, yet their discovery remains a significant
ArXiv cs.AI
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1d ago
Quasi-Quadratic Gradient: A New Direction for Accelerating the BFGS Method in Quasi-Newton Optimization
arXiv:2604.23922v1 Announce Type: cross Abstract: In this paper, we introduce the Quasi-Quadratic Gradient (QQG), a novel search direction designed to accelerat
ArXiv cs.AI
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1d ago
Do Quantum Transformers Help? A Systematic VQC Architecture Comparison on Tabular Benchmarks
arXiv:2604.23931v1 Announce Type: cross Abstract: Variational quantum circuits (VQCs) are a leading approach to quantum machine learning on near-term devices, y
ArXiv cs.AI
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1d ago
Constraint-Guided Multi-Agent Decompilation for Executable Binary Recovery
arXiv:2604.23940v1 Announce Type: cross Abstract: Decompilation -- recovering source code from compiled binaries -- is essential for security analysis, malware
ArXiv cs.AI
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1d ago
What Did They Mean? How LLMs Resolve Ambiguous Social Situations across Perspectives and Roles
arXiv:2604.23942v1 Announce Type: cross Abstract: People increasingly turn to large language models (LLMs) to interpret ambiguous social situations: a delayed t
ArXiv cs.AI
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1d ago
KOMBO: Korean Character Representations Based on the Combination Rules of Subcharacters
arXiv:2604.23948v1 Announce Type: cross Abstract: The Korean writing system, \textit{Hangeul}, has a unique character representation rigidly following the inven
ArXiv cs.AI
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1d ago
Viewport-Unaware Blind Omnidirectional Image Quality Assessment: A Unified and Generalized Approach
arXiv:2604.23953v1 Announce Type: cross Abstract: Blind omnidirectional image quality assessment (BOIQA) presents a great challenge to the visual quality assess
ArXiv cs.AI
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1d ago
Task-guided Spatiotemporal Network with Diffusion Augmentation for EEG-based Dementia Diagnosis and MMSE Prediction
arXiv:2604.23964v1 Announce Type: cross Abstract: Patients with dementia typically exhibit cognitive impairment, which is routinely assessed using the Mini-Ment
ArXiv cs.AI
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1d ago
DecompKAN: Decomposed Patch-KAN for Long-Term Time Series Forecasting
arXiv:2604.23968v1 Announce Type: cross Abstract: Accurate time series forecasting in scientific domains such as climate modeling, physiological monitoring, and
ArXiv cs.AI
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1d ago
Quantum Knowledge Graph: Modeling Context-Dependent Triplet Validity
arXiv:2604.23972v1 Announce Type: cross Abstract: Knowledge graphs (KGs) are increasingly used to support large lan guage model (LLM) reasoning, but standard tr
ArXiv cs.AI
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1d ago
Hindsight Preference Optimization for Financial Time Series Advisory
arXiv:2604.23988v1 Announce Type: cross Abstract: Time series models predict numbers; decision-makers need advisory -- directional signals with reasoning, actio
ArXiv cs.AI
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1d ago
Fix Initial Codes and Iteratively Refine Textual Directions Toward Safe Multi-Turn Code Correction
arXiv:2604.23989v1 Announce Type: cross Abstract: Recent work on large language models (LLMs) has emphasized the importance of scaling inference compute. From t
ArXiv cs.AI
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1d ago
EPM-RL: Reinforcement Learning for On-Premise Product Mapping in E-Commerce
arXiv:2604.23993v1 Announce Type: cross Abstract: Product mapping, the task of deciding whether two e-commerce listings refer to the same product, is a core pro
ArXiv cs.AI
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1d ago
IntentVLM: Open-Vocabulary Intention Recognition through Forward-Inverse Modeling with Video-Language Models
arXiv:2604.24002v1 Announce Type: cross Abstract: Improving the effectiveness of human-robot interaction requires social robots to accurately infer human goals
ArXiv cs.AI
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1d ago
TCOD: Exploring Temporal Curriculum in On-Policy Distillation for Multi-turn Autonomous Agents
arXiv:2604.24005v2 Announce Type: cross Abstract: On-policy distillation (OPD) has shown strong potential for transferring reasoning ability from frontier or do
ArXiv cs.AI
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1d ago
Poster: ClawdGo: Endogenous Security Awareness Training for Autonomous AI Agents
arXiv:2604.24020v1 Announce Type: cross Abstract: Autonomous AI agents deployed on platforms such as OpenClaw face prompt injection, memory poisoning, supply-ch
ArXiv cs.AI
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1d ago
From Skill Text to Skill Structure: The Scheduling-Structural-Logical Representation for Agent Skills
arXiv:2604.24026v2 Announce Type: cross Abstract: LLM agents increasingly rely on reusable skills, capability packages that combine instructions, control flow,
ArXiv cs.AI
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1d ago
AgenticCache: Cache-Driven Asynchronous Planning for Embodied AI Agents
arXiv:2604.24039v1 Announce Type: cross Abstract: Embodied AI agents increasingly rely on large language models (LLMs) for planning, yet per-step LLM calls impo
ArXiv cs.AI
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1d ago
Improving Robustness of Tabular Retrieval via Representational Stability
arXiv:2604.24040v2 Announce Type: cross Abstract: Transformer-based table retrieval systems flatten structured tables into token sequences, making retrieval sen
ArXiv cs.AI
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1d ago
End-to-End Learning for Partially-Observed Time Series with PyPOTS
arXiv:2604.24041v1 Announce Type: cross Abstract: Partially-observed time series (POTS) is ubiquitous in real-world applications, yet most existing toolchains s
ArXiv cs.AI
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1d ago
QEVA: A Reference-Free Evaluation Metric for Narrative Video Summarization with Multimodal Question Answering
arXiv:2604.24052v1 Announce Type: cross Abstract: Video-to-text summarization remains underexplored in terms of comprehensive evaluation methods. Traditional n-
ArXiv cs.AI
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1d ago
Distilling Self-Consistency into Verbal Confidence: A Pre-Registered Negative Result and Post-Hoc Rescue on Gemma 3 4B
arXiv:2604.24070v1 Announce Type: cross Abstract: Small instruct-tuned LLMs produce degenerate verbal confidence under minimal elicitation: ceiling rates above
ArXiv cs.AI
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1d ago
FreeScale: Distributed Training for Sequence Recommendation Models with Minimal Scaling Cost
arXiv:2604.24073v1 Announce Type: cross Abstract: Modern industrial Deep Learning Recommendation Models typically extract user preferences through the analysis
ArXiv cs.AI
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1d ago
The Pragmatic Persona: Discovering LLM Persona through Bridging Inference
arXiv:2604.24079v1 Announce Type: cross Abstract: Large Language Models (LLMs) reveal inherent and distinctive personas through dialogue. However, most existing
DeepCamp AI