Artificial Intelligence

From Dialogue to Destination: Geography-Aware Large Language Models with Multimodal Fusion for Conversational Recommendation AAAI 2026 From Factuality to Meta-Factivity: A Cognitive Blueprint for Trustworthy LLMs ACL 2026 From Failure to Feedback: Group Revision Unlocks Hard Cases in Object-Level Grounding CVPR 2026 From Few-Shot Learning to Data-Efficient Intelligence AAAI 2026 From Few-way to Many-way: Rethinking Few-shot Fine-grained Image Classification CVPR 2026 From Fluent to Useful: Generative AI That Models Purpose, Audience, and Presenter for Scientific Communication ACL 2026 From Form to Logic: Masked Reconstruction and Reasoning Distillation for Short Video Fake News Detection ACL 2026 From FusHa to Folk: Exploring Cross-Lingual Transfer in Arabic Language Models EACL 2026 From Global to Factor-Wise Expert Composition in Discrete Diffusion Models UAI 2026 From Graphs to Hypergraphs: Enhancing Aspect-Term Sentiment Analysis via Multi-Level Relational Modeling ACL 2026 From Graph to Text and Back: Semantic Fidelity in Automated Industrial Knowledge Graphs ACL 2026 From Hypothesis to Premises: LLM-based Backward Logical Reasoning with Selective Symbolic Translation AAAI 2026 From IDs to Semantics: A Generative Framework for Cross-Domain Recommendation with Adaptive Semantic Tokenization AAAI 2026 From ID to LLM: Rethinking Representation Learning for Recommendation ACL 2026 From Individual to Common: An Early Exploration of Consensus in Non-verifiable Data for Balanced Preference Optimization ACL 2026 From Indoor to Open World: Revealing the Spatial Reasoning Gap in MLLMs CVPR 2026 From Inheritance to Saturation: Disentangling the Evolution of Visual Redundancy for Architecture-Aware MLLM Inference Acceleration ACL 2026 From Insight to Action: A Novel Framework for Interpretability-Guided Data Selection in Large Language Models ACL 2026 From Intent to Execution: Multimodal Chain-of-Thought Reinforcement Learning for Precise CAD Code Generation AAAI 2026 From Intuition to Investigation: A Tool-Augmented Reasoning MLLM Framework for Generalizable Face Anti-Spoofing CVPR 2026 From Isolation to Entanglement: When Do Interpretability Methods Identify and Disentangle Known Concepts? ACL 2026 From Knowing to Teaching: Scaffolding Pedagogical Decisions for LLM Agent ACL 2026 From Laboratory to Real-World Applications: Benchmarking Agentic Code Reasoning at the Repository Level ACL 2026 From Language to Driving: A Dual-Loop SLM-Enhanced Framework for Multi-Planner Scheduling via a Domain-Specific Language ACL 2026 From Lightweight CNNs to SpikeNets: Benchmarking Accuracy-Energy Tradeoffs with Pruned Spiking SqueezeNet WACV 2026