Artificial Intelligence

py/cuTAGI: An Open-Source Library for Tractable Approximate Gaussian Inference in Bayesian Neural Networks JMLR 2026 qa-FLoRA: Data-free query-adaptive Fusion of LoRAs for LLMs AAAI 2026 QAPNet: A Quantum-Attentive Patchwise Network for Robust Medical Image Classification Under Noisy Inputs AAAI 2026 Qayyem: A Real-time Platform for Scoring Proficiency of Arabic Essays ACL 2026 QBridge: Bridging Natural Language and SQL via Gold Query Rewriting with Agentic Refinement ACL 2026 Q Cache: Visual Attention Is Valuable in Less than Half of Decode Layers for Multimodal Large Language Model AAAI 2026 QCON: Seamless QoE-Aware 5G Streaming via Multi-Connectivity NSDI 2026 QD-PCQA: Quality-Aware Domain Adaptation for Point Cloud Quality Assessment CVPR 2026 QFinZero: A Unified Financial Toolchain for LLM-Based Trading Agents ACL 2026 QiMeng-CRUX: Narrowing the Gap Between Natural Language and Verilog via Core Refined Understanding eXpression AAAI 2026 QiMeng-Kernel: Macro-Thinking Micro-Coding Paradigm for LLM-Based High-Performance GPU Kernel Generation AAAI 2026 QiMeng-PRepair: Precise Code Repair via Edit-Aware Reward Optimization ACL 2026 Q-MoFusion: A Quantum Classifier for Masquito Species Classification (Student Abstract) AAAI 2026 Q-ROAR: Outlier-Aware Rescaling for RoPE Position Interpolation in Quantized Long-Context LLMs (Student Abstract) AAAI 2026 qTPU: Hybrid Tensor Networks for Quantum-Classical Acceleration OSDI 2026 Quant Experts: Token-aware Adaptive Error Reconstruction with Mixture of Experts for Large Vision-Language Models Quantization CVPR 2026 Quantification of Credal Uncertainty: A Distance-Based Approach UAI 2026 Quantifying Aleatoric Uncertainty of In-Context Learning for Robust Measure of LLM Prediction Confidence ACL 2026 Quantifying and Improving the Robustness of Retrieval-Augmented Language Models Against Spurious Features in Grounding Data ACL 2026 Quantifying and Mitigating Socially Desirable Responding in LLMs: A Desirability-Matched Graded Forced-Choice Psychometric Study ACL 2026 Quantifying and Understanding Uncertainty in Large Reasoning Models ACL 2026 Quantifying Cross-Lingual Interference: Algorithmic Standardization of Kamtapuri in Large Language Models EACL 2026 Quantifying Metric and Model Agreement in Bias Evaluation of Large Language Models ACL 2026 Quantifying the Impact of Structured Output Format on Large Language Models through Causal Inference EACL 2026 QuantileMark: A Message-Symmetric Multi-bit Watermark for LLMs ACL 2026