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inductive bia

272 papers

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representation learning (6206) neural network (6616) transfer learning (5449) convolutional neural network (4226) language model (4599) graph neural network (3962) large language model (13587) transformer architecture (1560) attention mechanism (4001) vision transformer (1106)

Papers

CrystalDiT: Simple Diffusion Transformers for Crystal Generation AAAI 2026
Do Mixed-Vendor Multi-Agent LLMs Improve Clinical Diagnosis? EACL 2026
Learning Robust Medical Image Segmentation with Inductive Bias MIDL 2026
Exploiting Graph-Based Structural Priors for Visual Recognition AAAI 2026
Fine-tuning vs. In-context Learning in Large Language Models: A Formal Language Learning Perspective ACL 2026
ImReasoner: Improving Memory-based Language Models for Reasoning-in-a-Haystack Tasks ACL 2026
Enhancing Logical Expressiveness in Graph Neural Networks via Path-Neighbor Aggregation AAAI 2026
Token-Wise Kernels (TWiKers) for Vicinity-Aware Attention in Transformers EACL 2026
Shaping Shared Languages: Human and Large Language Models' Inductive Biases in Emergent Communication IJCAI 2025
Anything Goes? A Crosslinguistic Study of (Im)possible Language Learning in LMs ACL 2025
Information Locality as an Inductive Bias for Neural Language Models ACL 2025
Perceptual Inductive Bias Is What You Need Before Contrastive Learning CVPR 2025
Do Robot Snakes Dream like Electric Sheep? Investigating the Effects of Architectural Inductive Biases on Hallucination ACL 2025
CARE Transformer: Mobile-Friendly Linear Visual Transformer via Decoupled Dual Interaction CVPR 2025
GCG-Based Artificial Languages for Evaluating Inductive Biases of Neural Language Models ACL 2025
Which Word Orders Facilitate Length Generalization in LMs? An Investigation with GCG-Based Artificial Languages EMNLP 2025
Biological Sequence Kernels with Guaranteed Flexibility JMLR 2025
The Emperor’s New Reasoning: Format Imitation Overshadows Genuine Mathematical Understanding in SFT EMNLP 2025
GCG-Based Artificial Languages for Evaluating Inductive Biases of Neural Language Models CONLL 2025
How Well Can a Long Sequence Model Model Long Sequences? Comparing Architectural Inductive Biases on Long-Context Abilities COLING 2025
Do We Always Need the Simplicity Bias? Looking for Optimal Inductive Biases in the Wild CVPR 2025
Embeddings for Numerical Features Using tanh Activation ACL 2025
From Introspection to Best Practices: Principled Analysis of Demonstrations in Multimodal In-Context Learning NAACL 2025
Data Distributional Properties As Inductive Bias for Systematic Generalization CVPR 2025
Between Circuits and Chomsky: Pre-pretraining on Formal Languages Imparts Linguistic Biases ACL 2025