Foundation Models

Exploring Deductive and Inductive Reasoning Capabilities of Large Language Models in Procedural Planning EMNLP 2025 Exploring Explanations Improves the Robustness of In-Context Learning ACL 2025 Exploring Large Language Models for Detecting Mental Disorders EMNLP 2025 Exploring Large Language Models for Effective Rumor Detection on Social Media NAACL 2025 Exploring LLM-Based Assessment of Italian Middle School Writing: A Pilot Study ACL 2025 Exploring Representations and Interventions in Time Series Foundation Models ICML 2025 Exploring Safety-Utility Trade-Offs in Personalized Language Models NAACL 2025 Exploring Semantic Filtering Heuristics For Efficient Claim Verification ACL 2025 Exploring the Deep Fusion of Large Language Models and Diffusion Transformers for Text-to-Image Synthesis CVPR 2025 Exploring the Effectiveness of Object-Centric Representations in Visual Question Answering: Comparative Insights with Foundation Models ICLR 2025 Exploring the Generalizability of Factual Hallucination Mitigation via Enhancing Precise Knowledge Utilization EMNLP 2025 Exploring the Impact of Language Switching on Personality Traits in LLMs COLING 2025 Exploring Working Memory Capacity in LLMs: From Stressors to Human-Inspired Strategies IJCNLP 2025 Expressive Power of Temporal Message Passing AAAI 2025 Extending LLM Context Window with Adaptive Grouped Positional Encoding: A Training-Free Method ACL 2025 Extracting and Combining Abilities For Building Multi-lingual Ability-enhanced Large Language Models EMNLP 2025 Extracting Conceptual Spaces from LLMs Using Prototype Embeddings EMNLP 2025 FaceBench: A Multi-View Multi-Level Facial Attribute VQA Dataset for Benchmarking Face Perception MLLMs CVPR 2025 Facts Fade Fast: Evaluating Memorization of Outdated Medical Knowledge in Large Language Models EMNLP 2025 Factual Knowledge in Language Models: Robustness and Anomalies under Simple Temporal Context Variations ACL 2025 FA: Forced Prompt Learning of Vision-Language Models for Out-of-Distribution Detection ICCV 2025 Failing Forward: Improving Generative Error Correction for ASR with Synthetic Data and Retrieval Augmentation ACL 2025 FairPFN: A Tabular Foundation Model for Causal Fairness ICML 2025 Fast and Low-Cost Genomic Foundation Models via Outlier Removal ICML 2025 FastCuRL: Curriculum Reinforcement Learning with Stage-wise Context Scaling for Efficient Training R1-like Reasoning Models EMNLP 2025