Foundation Models

Assessing the Quality of AI-Generated Exams: A Large-Scale Field Study AAAI 2026 A Unified Shape-Aware Foundation Model for Time Series Classification AAAI 2026 Automated Repair of Totally-Ordered Hierarchical Task Network Domains via Context-Free Grammars with Large Language Model Support AAAI 2026 AutoTuneX: Interactive Automated Fine-Tuning for Large Language Models AAAI 2026 Awakening Dormant Experts:Counterfactual Routing to Mitigate MoE Hallucinations ACL 2026 BabyBabelLM: A Multilingual Benchmark of Developmentally Plausible Training Data EACL 2026 BabyVLM-V2: Toward Developmentally Grounded Pretraining and Benchmarking of Vision Foundation Models CVPR 2026 Benchmarking LLMs for Political Science: A United Nations Perspective AAAI 2026 Benchmarking LLMs’ Mathematical Reasoning with Unseen Random Variables Questions AAAI 2026 Beyond Memorization: A Rigorous Evaluation Framework for Medical Knowledge Editing EACL 2026 Beyond MSE: Ordinal Cross-Entropy for Probabilistic Time Series Forecasting AAAI 2026 Beyond Perplexity: Let the Reader Select Retrieval Summaries via Spectrum Projection Score AAAI 2026 Beyond Sample-Level Feedback: Using Reference-Level Feedback to Guide Data Synthesis EACL 2026 Beyond Semantics: How Temporal Biases Shapes Retrieval in Transformer and State-Space Models EACL 2026 Beyond Understanding: Evaluating the Pragmatic Gap in LLMs’ Cultural Processing of Figurative Language EACL 2026 Beyond What's Shared: Recovering Lost Unique Information from Intermediate Layers to Boost Multimodal Geo-Foundation Models CVPR 2026 Bias-Restrained Prefix Representation Finetuning for Mathematical Reasoning AAAI 2026 BigTokDetect: A Clinically-Informed Vision–Language Modeling Framework for Detecting Pro-Bigorexia Videos on TikTok EACL 2026 Bi-level Personalization for Federated Foundation Models: A Task-vector Aggregation Approach AAAI 2026 BioDPP: Dynamic Prompt Policy Learning for Biomedical Vision-Language Models AAAI 2026 Blind Spot Navigation in Large Language Model Reasoning with Thought Space Explorer EACL 2026 Breaking Model Lock-in: Cost-Efficient Zero-Shot LLM Routing via a Universal Latent Space AAAI 2026 Breaking the Illusion of Reasoning in Polish LLMs: Quality over Quantity of Thought EACL 2026 Breaking the Trade-Off Between Faithfulness and Expressiveness for Large Language Models AAAI 2026 Bridging the Skills Gap: A Course Model for Modern Generative AI Education AAAI 2026