Foundation Models

Efficient Post-Training Refinement of Latent Reasoning in Large Language Models AAAI 2026 Efficient Reasoning for Large Reasoning Language Models via Certainty-Guided Reflection Suppression AAAI 2026 Efficient Thought Space Exploration Through Strategic Intervention AAAI 2026 EHRStruct: A Comprehensive Benchmark Framework for Evaluating Large Language Models on Structured Electronic Health Record Tasks AAAI 2026 Eliciting Chain-of-Thought in Base LLMs via Gradient-Based Representation Optimization AAAI 2026 Emergent Extreme-View Geometry in 3D Foundation Models CVPR 2026 Energy Matching based Preference Learning for Diffusion Language Models EACL 2026 Enhanced Back-Projection of Vision Features for 3D Symmetry Detection WACV 2026 Enhancing Auto-regressive Chain-of-Thought through Loop-Aligned Reasoning EACL 2026 Equivariant Atomic and Lattice Modeling Using Geometric Deep Learning for Crystal Structure Optimization AAAI 2026 ERank: Fusing Supervised Fine-Tuning and Reinforcement Learning for Effective and Efficient Text Reranking AAAI 2026 Evaluating Humanities Theory Alignment in Large Language Models: Incremental Prompting and Statistical Assessment EACL 2026 Evaluating the Pre-Consultation Ability of LLMs using Diagnostic Guidelines EACL 2026 EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models AAAI 2026 ExoTimer: Leveraging Large Language Models for Time Series Forecasting with Exogenous Variables AAAI 2026 Expert-Teacher-Student Collaborative Learning for Domain Adaptive Object Detection CVPR 2026 Explainable Oracle Bone Script Recognition via Multimodal Pictographic Reasoning AAAI 2026 Exploring Depth Generalization in Large Language Models for Solving Recursive Logic Tasks AAAI 2026 FCMO: A Flow-Curv Mamba Operator for Large-Scale 3D Vehicle Aerodynamics AAAI 2026 FGD-Align: Pluralistic Alignment for Large Language Models via Fuzzy Group Decision-Making AAAI 2026 Finding the Translation Switch: Discovering and Exploiting the Task-Initiation Features in LLMs AAAI 2026 FIRM-MoE:Fine-GrainedExpert Decomposition for Resource-Adaptive MoE Inference AAAI 2026 Foundation Encoders Are All You Need for Preference-Aware Personalization CVPR 2026 Foundations of LLM Knowledge Materialization: Termination, Reproducibility, Robustness EACL 2026 FRoD: Full-Rank Efficient Fine-Tuning with Rotational Degrees for Fast Convergence AAAI 2026