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ArXiv cs.AIDev.to AIForbes InnovationMedium · AIMedium · ProgrammingMedium · Cybersecurity
ArXiv cs.AI
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1d ago
Project-Level C-to-Rust Translation via Pointer Knowledge Graphs
arXiv:2510.10956v2 Announce Type: replace-cross Abstract: Translating C code into safe Rust is an effective way to ensure memory safety. Compared to rule-based
ArXiv cs.AI
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1d ago
Thinking About Thinking: Evaluating Reasoning in Post-Trained Language Models
arXiv:2510.16340v2 Announce Type: replace-cross Abstract: Recent advances in post-training techniques have endowed Large Language Models (LLMs) with enhanced ca
ArXiv cs.AI
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1d ago
A First Look at the Security Issues in the Model Context Protocol Ecosystem
arXiv:2510.16558v2 Announce Type: replace-cross Abstract: The Model Context Protocol (MCP) has emerged as a standard for connecting large language models (LLMs)
ArXiv cs.AI
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1d ago
From Local to Global: Revisiting Structured Pruning Paradigms for Large Language Models
arXiv:2510.18030v2 Announce Type: replace-cross Abstract: Structured pruning is a practical approach to deploying large language models (LLMs) efficiently, as i
ArXiv cs.AI
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1d ago
Approximate Model Predictive Control for Microgrid Energy Management via Imitation Learning
arXiv:2510.20040v2 Announce Type: replace-cross Abstract: Efficient energy management is essential for reliable and sustainable microgrid operation amid increas
ArXiv cs.AI
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1d ago
Mitigating Coordinate Prediction Bias from Positional Encoding Failures
arXiv:2510.22102v2 Announce Type: replace-cross Abstract: While Multimodal Large Language Models (MLLMs) excel at general vision-language tasks, precise coordin
ArXiv cs.AI
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1d ago
Towards Real-World Validity in Generative AI Benchmarks: Understanding and Designing Domain-Centered Evaluations for Journalism Practitioners
arXiv:2511.05501v3 Announce Type: replace-cross Abstract: Benchmarks play a significant role in how technology companies communicate about model capabilities an
ArXiv cs.AI
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1d ago
UltraGS: Real-Time Physically-Decoupled Gaussian Splatting for Ultrasound Novel View Synthesis
arXiv:2511.07743v3 Announce Type: replace-cross Abstract: Ultrasound imaging is a cornerstone of non-invasive clinical diagnostics, yet its limited field of vie
ArXiv cs.AI
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1d ago
Physics-Informed Neural Networks for Nonlinear Output Regulation
arXiv:2511.13595v3 Announce Type: replace-cross Abstract: This work addresses the full-information output regulation problem for nonlinear systems, assuming the
ArXiv cs.AI
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1d ago
OmniAlpha: Aligning Transparency-Aware Generation via Multi-Task Unified Reinforcement Learning
arXiv:2511.20211v2 Announce Type: replace-cross Abstract: Transparency-aware generation requires modeling not only RGB appearance but also alpha-based opacity a
ArXiv cs.AI
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1d ago
Voice, Bias, and Coreference: An Interpretability Study of Gender in Speech Translation
arXiv:2511.21517v2 Announce Type: replace-cross Abstract: Unlike text, speech conveys information about the speaker, such as gender, through acoustic cues like
ArXiv cs.AI
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1d ago
AOI: Context-Aware Multi-Agent Operations via Dynamic Scheduling and Hierarchical Memory Compression
arXiv:2512.13956v3 Announce Type: replace-cross Abstract: The proliferation of cloud-native architectures, characterized by microservices and dynamic orchestrat
ArXiv cs.AI
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1d ago
MCGI: Manifold-Consistent Graph Indexing for Billion-Scale Disk-Resident Vector Search
arXiv:2601.01930v3 Announce Type: replace-cross Abstract: Graph-based Approximate Nearest Neighbor (ANN) search often suffers from performance degradation in hi
ArXiv cs.AI
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1d ago
Limited Linguistic Diversity in Embodied AI Datasets
arXiv:2601.03136v2 Announce Type: replace-cross Abstract: Language plays a critical role in Vision-Language-Action (VLA) models, yet the linguistic characterist
ArXiv cs.AI
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1d ago
Benchmarking and Adapting On-Device LLMs for Clinical Decision Support
arXiv:2601.03266v2 Announce Type: replace-cross Abstract: Large language models (LLMs) have rapidly advanced in clinical decision-making, yet the deployment of
ArXiv cs.AI
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1d ago
MemRec: Collaborative Memory-Augmented Agentic Recommender System
arXiv:2601.08816v3 Announce Type: replace-cross Abstract: The evolution of recommender systems has shifted from traditional collaborative filtering to LLM-based
ArXiv cs.AI
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1d ago
AQUA-Bench: Beyond Finding Answers to Knowing When There Are None in Audio Question Answering
arXiv:2601.12248v2 Announce Type: replace-cross Abstract: Recent advances in audio-aware large language models have shown strong performance on audio question a
ArXiv cs.AI
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1d ago
MGSM-Pro: A Simple Strategy for Robust Multilingual Mathematical Reasoning Evaluation
arXiv:2601.21225v2 Announce Type: replace-cross Abstract: Large language models have made substantial progress in mathematical reasoning. However, benchmark dev
ArXiv cs.AI
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1d ago
Physics-Guided Tiny-Mamba Transformer for Reliability-Aware Early Fault Warning
arXiv:2601.21293v2 Announce Type: replace-cross Abstract: Reliability-centered prognostics for rotating machinery requires early-warning signals that remain acc
ArXiv cs.AI
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1d ago
Responsible Evaluation of AI for Mental Health
arXiv:2602.00065v2 Announce Type: replace-cross Abstract: Although artificial intelligence (AI) shows growing promise for mental health care, current approaches
ArXiv cs.AI
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1d ago
DCD: Decomposition-based Causal Discovery from Autocorrelated and Non-Stationary Temporal Data
arXiv:2602.01433v2 Announce Type: replace-cross Abstract: Multivariate time series in domains such as finance, climate science, and healthcare often exhibit lon
ArXiv cs.AI
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1d ago
Multi-layer Cross-Attention is Provably Optimal for Multi-modal In-context Learning
arXiv:2602.04872v2 Announce Type: replace-cross Abstract: Recent progress has rapidly advanced our understanding of the mechanisms underlying in-context learnin
ArXiv cs.AI
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1d ago
SecureScan: An AI-Driven Multi-Layer Framework for Malware and Phishing Detection Using Logistic Regression and Threat Intelligence Integration
arXiv:2602.10750v2 Announce Type: replace-cross Abstract: The growing sophistication of modern malware and phishing campaigns has diminished the effectiveness o
ArXiv cs.AI
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1d ago
Evaluating LLM Safety Under Repeated Inference via Accelerated Prompt Stress Testing
arXiv:2602.11786v2 Announce Type: replace-cross Abstract: Traditional benchmarks for large language models (LLMs), such as HELM and AIR-BENCH, primarily assess
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