Co-occurring keywords
Papers
Why AI Is WEIRD and Shouldn't Be This Way: Towards AI for Everyone, with Everyone, by Everyone
AAAI 2025
Graph Structure Learning for Spatial-Temporal Imputation: Adapting to Node and Feature Scales
AAAI 2025
Language Arithmetics: Towards Systematic Language Neuron Identification and Manipulation
IJCNLP 2025
How Not to Stitch Representations to Measure Similarity: Task Loss Matching Versus Direct Matching
AAAI 2025
Federated Representation Angle Learning
ICCV 2025
Refine then Classify: Robust Graph Neural Networks with Reliable Neighborhood Contrastive Refinement
AAAI 2025
UniTR: A Unified Framework for Joint Representation Learning of Trajectories and Road Networks
AAAI 2025
Llama See, Llama Do: A Mechanistic Perspective on Contextual Entrainment and Distraction in LLMs
ACL 2025