Artificial Intelligence

Can LLM Safety Be Ensured by Constraining Parameter Regions? ACL 2026 Can LLMs Detect Their Confabulations? Estimating Reliability in Uncertainty-Aware Language Models AAAI 2026 Can LLMs Estimate Cognitive Complexity of Reading Comprehension Items? ACL 2026 Can LLMs Learn to Map the World from Local Descriptions? ACL 2026 Can LLMs reason over extended multilingual contexts? Towards long-context evaluation beyond retrieval over haystacks EACL 2026 Can LLMs Truly Embody Human Personality? Analyzing AI and Human Behavior Alignment in Dispute Resolution AAAI 2026 Can MLLMs Find Their Way in a City? Exploring Emergent Navigation from Web-Scale Knowledge EACL 2026 Can Persona-Prompted LLMs Emulate Subgroup Values? An Empirical Analysis of Generalisability and Fairness in Cultural Alignment ACL 2026 Can Reasoning Path still be Effective as Input? Bridging Post-Reasoning to Chain-of-Thought Compression ACL 2026 CANVAS: A Benchmark for Vision-Language Models on Tool-Based User Interface Design AAAI 2026 Can We Build Scene Graphs, Not Classify Them? FlowSG: Progressive Image-Conditioned Scene Graph Generation with Flow Matching CVPR 2026 Can We Challenge Open-Vocabulary Object Detectors with Generated Content in Street Scenes? WACV 2026 Can We Predict Before Executing Machine Learning Agents? ACL 2026 Can You Make It Sound Like You? Post-Editing LLM-Generated Text for Personal Style ACL 2026 Can you map it to English? The Role of Cross-Lingual Alignment in the Multilingual Performance of LLMs EACL 2026 Can You Tell the Difference? Contrastive Explanations for ABox Entailments AAAI 2026 Can You Trust What I Think? Analyzing and Improving Verbalized Uncertainty and Factuality in Reasoning-Based Large Language Models AAAI 2026 Can You Trust Your Model? Constructing Uncertainty Approximations Guaranteeing Validity of Glioma Segmentation Explanations MIDL 2026 CAP: Controllable Alignment Prompting for Unlearning in LLMs ACL 2026 CAPE: A CLIP-Aware Pointing Ensemble of Complementary Heatmap Cues for Embodied Reference Understanding WACV 2026 CapNav: Benchmarking Vision Language Models on Capability-conditioned Indoor Navigation CVPR 2026 CAPO: A Unified Policy Gradient Approach for Reward and Cost Optimization in Safe Reinforcement Learning (Student Abstract) AAAI 2026 CAPruner: Conceptual-Adjacent Scene Graph Pruner for Enhancing 3D Spatial Reasoning of Large Language Models ACL 2026 CAPT: Confusion-Aware Prompt Tuning for Reducing Vision-Language Misalignment CVPR 2026 CaptionQA: Is Your Caption as Useful as the Image Itself? CVPR 2026