Artificial Intelligence

Aggregation of Dependent Expert Distributions in Multimodal Variational Autoencoders ICML 2025 AGM-TE: Approximate Generative Model Estimator of Transfer Entropy for Causal Discovery CLeaR 2025 Agnostic Private Density Estimation for GMMs via List Global Stability ALT 2025 Agnus LLM: Robust and Flexible Entity Disambiguation with decoder-only Language Models IJCNLP 2025 AGO: Adaptive Grounding for Open World 3D Occupancy Prediction ICCV 2025 A Good Plan is Hard to Find: Aligning Models with Preferences is Misaligned with What Helps Users EMNLP 2025 A Good Teacher Adapts Their Knowledge for Distillation ICCV 2025 A Gradient Effect of Hand Beat Timing on Spoken Word Recognition Interspeech 2025 AGrail: A Lifelong Agent Guardrail with Effective and Adaptive Safety Detection ACL 2025 A Graph Enhanced Symbolic Discovery Framework For Efficient Logic Optimization ICLR 2025 A Graph Interaction Framework on Relevance for Multimodal Named Entity Recognition with Multiple Images COLING 2025 A Graph-Theoretical Framework for Analyzing the Behavior of Causal Language Models EMNLP 2025 AgriCLIP: Adapting CLIP for Agriculture and Livestock via Domain-Specialized Cross-Model Alignment COLING 2025 Agri-CM3: A Chinese Massive Multi-modal, Multi-level Benchmark for Agricultural Understanding and Reasoning ACL 2025 AgroBench: Vision-Language Model Benchmark in Agriculture ICCV 2025 AgroGPT: Efficient Agricultural Vision-Language Model with Expert Tuning WACV 2025 A Group Fairness Lens for Large Language Models EMNLP 2025 Agtech Framework for Cranberry-Ripening Analysis using Vision Foundation Models WACV 2025 Aguvis: Unified Pure Vision Agents for Autonomous GUI Interaction ICML 2025 AHA: A Vision-Language-Model for Detecting and Reasoning Over Failures in Robotic Manipulation ICLR 2025 AHCPTQ: Accurate and Hardware-Compatible Post-Training Quantization for Segment Anything Model ICCV 2025 A Head to Predict and a Head to Question: Pre-trained Uncertainty Quantification Heads for Hallucination Detection in LLM Outputs EMNLP 2025 A High Dimensional Statistical Model for Adversarial Training: Geometry and Trade-Offs AISTATS 2025 A High-Efficiency Federated Learning Method Using Complementary Pruning for D2D Communication (Student Abstract) AAAI 2025 A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation COLING 2025