conftrace_

generalization capability

50 papers

Explore in graph

Co-occurring keywords

large language model (13587) data augmentation (3052) transfer learning (5449) robustness evaluation (139) language model (4599) convolutional neural network (4226) neural network optimization (1293) multi-task learning (2575) shortcut learning (79) out-of-distribution detection (617)

Papers

Reason to Rote: Rethinking Memorization in Reasoning EMNLP 2025
Beyond Seen Data: Improving KBQA Generalization Through Schema-Guided Logical Form Generation EMNLP 2025
Not All Degradations Are Equal: A Targeted Feature Denoising Framework for Generalizable Image Super-Resolution ICCV 2025
Navigating the Unknown: Intent Classification and Out-of-Distribution Detection Using Large Language Models EMNLP 2025
Have We Designed Generalizable Structural Knowledge Promptings? Systematic Evaluation and Rethinking ACL 2025
Rosetta-PL: Propositional Logic as a Benchmark for Large Language Model Reasoning NAACL 2025
LLaSE-G1: Incentivizing Generalization Capability for LLaMA-based Speech Enhancement ACL 2025
ConsistencyChecker: Tree-based Evaluation of LLM Generalization Capabilities ACL 2025
Towards Generalized Face Anti-Spoofing from a Frequency Shortcut View WACV 2025
Can Out-of-Distribution Evaluations Uncover Reliance on Prediction Shortcuts? A Case Study in Question Answering EMNLP 2025
A Reinforcement Learning Framework for Cross-Lingual Stance Detection Using Chain-of-Thought Alignment ACL 2025
AIGI-Holmes: Towards Explainable and Generalizable AI-Generated Image Detection via Multimodal Large Language Models ICCV 2025
UniDemoiré: Towards Universal Image Demoiréing with Data Generation and Synthesis AAAI 2025
On the Use of Anchoring for Training Vision Models NIPS 2024
Revive Re-weighting in Imbalanced Learning by Density Ratio Estimation NIPS 2024
Improving Adaptivity via Over-Parameterization in Sequence Models NIPS 2024
Can Language Models Learn to Skip Steps? NIPS 2024
PUZZLES: A Benchmark for Neural Algorithmic Reasoning NIPS 2024
STARLING: Self-supervised Training of Text-based Reinforcement Learning Agent with Large Language Models ACL 2024
A Generative Model of Symmetry Transformations NIPS 2024
π-Light: Programmatic Interpretable Reinforcement Learning for Resource-Limited Traffic Signal Control AAAI 2024
Navigate Beyond Shortcuts: Debiased Learning Through the Lens of Neural Collapse CVPR 2024
Learning Robust Classifiers with Self-Guided Spurious Correlation Mitigation IJCAI 2024
Least Squares Regression Can Exhibit Under-Parameterized Double Descent NIPS 2024
On the Limited Generalization Capability of the Implicit Reward Model Induced by Direct Preference Optimization EMNLP 2024