generalization capability

A Graph Enhanced Symbolic Discovery Framework For Efficient Logic Optimization ICLR 2025 AIGI-Holmes: Towards Explainable and Generalizable AI-Generated Image Detection via Multimodal Large Language Models ICCV 2025 A Reinforcement Learning Framework for Cross-Lingual Stance Detection Using Chain-of-Thought Alignment ACL 2025 Beyond Attacks: Advancing Fake Speech Detection with Attack-Agnostic Methods Interspeech 2025 Beyond Seen Data: Improving KBQA Generalization Through Schema-Guided Logical Form Generation EMNLP 2025 Can Out-of-Distribution Evaluations Uncover Reliance on Prediction Shortcuts? A Case Study in Question Answering EMNLP 2025 CLIMB: Data Foundations for Large Scale Multimodal Clinical Foundation Models ICML 2025 ConsistencyChecker: Tree-based Evaluation of LLM Generalization Capabilities ACL 2025 Evaluating Speech Enhancement Performance Across Demographics and Language Interspeech 2025 Have We Designed Generalizable Structural Knowledge Promptings? Systematic Evaluation and Rethinking ACL 2025 LLaSE-G1: Incentivizing Generalization Capability for LLaMA-based Speech Enhancement ACL 2025 Navigating the Unknown: Intent Classification and Out-of-Distribution Detection Using Large Language Models EMNLP 2025 Not All Degradations Are Equal: A Targeted Feature Denoising Framework for Generalizable Image Super-Resolution ICCV 2025 Q-Supervised Contrastive Representation: A State Decoupling Framework for Safe Offline Reinforcement Learning ICML 2025 Reason to Rote: Rethinking Memorization in Reasoning EMNLP 2025 Rosetta-PL: Propositional Logic as a Benchmark for Large Language Model Reasoning NAACL 2025 Stability and Generalization Capability of Subgraph Reasoning Models for Inductive Knowledge Graph Completion ICML 2025 Towards a Theoretical Understanding of Synthetic Data in LLM Post-Training: A Reverse-Bottleneck Perspective ICLR 2025 Towards Generalized Face Anti-Spoofing from a Frequency Shortcut View WACV 2025 UniDemoiré: Towards Universal Image Demoiréing with Data Generation and Synthesis AAAI 2025 A Generative Model of Symmetry Transformations NeurIPS 2024 Can Language Models Learn to Skip Steps? NeurIPS 2024 ControlMath: Controllable Data Generation Promotes Math Generalist Models EMNLP 2024 Do LLMs Overcome Shortcut Learning? An Evaluation of Shortcut Challenges in Large Language Models EMNLP 2024 Improving Adaptivity via Over-Parameterization in Sequence Models NeurIPS 2024