Why are we blindly trusting AI companies with our data?
Lately I’ve been seeing a story floating around that really made me pause. Apparently, there were claims that the US government asked Ant...
GPT, Claude, Gemini, and other LLMs
Lately I’ve been seeing a story floating around that really made me pause. Apparently, there were claims that the US government asked Ant...
Artificial intelligence is transforming every corner of industry, and television is no exception. Major networks in Korea have recently a...
Abstract page for arXiv paper 2603.16629: MLLM-based Textual Explanations for Face Comparison
Abstract page for arXiv paper 2506.22039: UniCA: Unified Covariate Adaptation for Time Series Foundation Model
Abstract page for arXiv paper 2603.23308: Curriculum-Driven 3D CT Report Generation via Language-Free Visual Grafting and Zone-Constraine...
Abstract page for arXiv paper 2603.23300: Designing Agentic AI-Based Screening for Portfolio Investment
Abstract page for arXiv paper 2505.20881: Generalizable Heuristic Generation Through LLMs with Meta-Optimization
Abstract page for arXiv paper 2505.18179: GAIA: A Foundation Model for Operational Atmospheric Dynamics
Abstract page for arXiv paper 2603.23279: Emergence of Fragility in LLM-based Social Networks: the Case of Moltbook
Abstract page for arXiv paper 2505.00333: Two Stage Wireless Federated LoRA Fine-Tuning with Sparsified Orthogonal Updates
Abstract page for arXiv paper 2502.07861: Streaming Attention Approximation via Discrepancy Theory
Abstract page for arXiv paper 2603.23184: ImplicitRM: Unbiased Reward Modeling from Implicit Preference Data for LLM alignment
Abstract page for arXiv paper 2603.23183: Reasoning over Semantic IDs Enhances Generative Recommendation
Abstract page for arXiv paper 2412.05430: DART-Eval: A Comprehensive DNA Language Model Evaluation Benchmark on Regulatory DNA
Abstract page for arXiv paper 2603.23146: Why AI-Generated Text Detection Fails: Evidence from Explainable AI Beyond Benchmark Accuracy
Abstract page for arXiv paper 2603.23073: Can an LLM Detect Instances of Microservice Infrastructure Patterns?
Abstract page for arXiv paper 2603.23050: DBAutoDoc: Automated Discovery and Documentation of Undocumented Database Schemas via Statistic...
Abstract page for arXiv paper 2603.23495: VISion On Request: Enhanced VLLM efficiency with sparse, dynamically selected, vision-language ...
Abstract page for arXiv paper 2603.23311: ARGENT: Adaptive Hierarchical Image-Text Representations
Abstract page for arXiv paper 2603.23219: Decoding AI Authorship: Can LLMs Truly Mimic Human Style Across Literature and Politics?
Abstract page for arXiv paper 2603.23269: Not All Tokens Are Created Equal: Query-Efficient Jailbreak Fuzzing for LLMs
Abstract page for arXiv paper 2603.23251: Is AI Catching Up to Human Expression? Exploring Emotion, Personality, Authorship, and Linguist...
Abstract page for arXiv paper 2603.22966: Set-Valued Prediction for Large Language Models with Feasibility-Aware Coverage Guarantees
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