Artificial Intelligence

Interpretable Reward Model via Sparse Autoencoder AAAI 2026 Interpretable Safety Alignment via SAE-Constructed Low-Rank Subspace Adaptation ACL 2026 Interpretable Spatial-Temporal Forecasting via Additive Neural Decomposition and Knowledge Distillation UAI 2026 Interpretable Traces, Unexpected Outcomes: Investigating the Disconnect in Trace-Based Knowledge Distillation ACL 2026 Interpreto: An Explainability Library for Transformers ACL 2026 InterRVOS: Interaction-Aware Referring Video Object Segmentation CVPR 2026 Intervening to learn and compose causally disentangled representations CLeaR 2026 Intervention-Aware Time Series Modeling: Capturing and Evaluating Feature Dependencies AAAI 2026 Into the Gray Zone: Domain Contexts Can Blur LLM Safety Boundaries ACL 2026 Intra-class Distribution-guided Generative Hashing with Neighbor Refinement for Cross-modal Retrieval CVPR 2026 Intra-Class Probabilistic Embeddings for Uncertainty Estimation in Vision-Language Models WACV 2026 Intra-Class Unbiased Prototype Aggregation and Classifier Collaboration for Personalized Federated Learning AAAI 2026 IntrAgent: An LLM Agent for Content-Grounded Information Retrieval through Literature Review ACL 2026 InTrain: Intrinsic Trainability for Zero-Cost Neural Architecture Search CVPR 2026 Intrinsic Barriers and Practical Pathways for Human–AI Alignment: An Agreement-Based Complexity Analysis AAAI 2026 Intrinsic Concept Extraction Based on Compositional Interpretability CVPR 2026 Introducing Decomposed Causality with Spatiotemporal Object-Centric Representation for Video Classification AAAI 2026 Introducing Visual Scenes and Reasoning: A More Realistic Benchmark for Spoken Language Understanding AAAI 2026 IntroSVG: Learning from Rendering Feedback for Text-to-SVG Generation via an Introspective Generator-Critic Framework CVPR 2026 InvAD: Inversion-based Reconstruction-Free Anomaly Detection with Diffusion Models CVPR 2026 Invariant Conditional Molecular Generation Under Distribution Shift AAAI 2026 Invariant Feature Learning for Counterfactual Watch-time Prediction in Video Recommendation AAAI 2026 Inverse Optimal Transport for Efficient Adaptation of Vision-Language Models AAAI 2026 Inverting the Shield: Systematically Generating Safety Tests from Policy Specifications ACL 2026 Investigating Counterfactual Unfairness in LLMs towards Identities through Humor ACL 2026