← Optimization & Theory
Machine Learning › Optimization & Theory ›

Learning Theory

5312 directly classified papers

Papers per year

Papers

Child-Directed Language Does Not Consistently Boost Syntax Learning in Language Models EMNLP 2025
The Emperor’s New Reasoning: Format Imitation Overshadows Genuine Mathematical Understanding in SFT EMNLP 2025
Investigating How Pre-training Data Leakage Affects Models’ Reproduction and Detection Capabilities EMNLP 2025
Towards a Holistic and Automated Evaluation Framework for Multi-Level Comprehension of LLMs in Book-Length Contexts EMNLP 2025
Temporal Scaling Law for Large Language Models EMNLP 2025
How Far Can LLMs Improve from Experience? Measuring Test-Time Learning Ability in LLMs with Human Comparison EMNLP 2025
From Parameters to Performance: A Data-Driven Study on LLM Structure and Development EMNLP 2025
Spectral Scaling Laws in Language Models: emphHow Effectively Do Feed-Forward Networks Use Their Latent Space? EMNLP 2025
Trojsten Benchmark: Evaluating LLM Problem-Solving in Slovak STEM Competition Problems EMNLP 2025
Benchmarking Deep Search over Heterogeneous Enterprise Data EMNLP 2025
Rethinking Cross-Subject Data Splitting for Brain-to-Text Decoding EMNLP 2025
LibraGrad: Balancing Gradient Flow for Universally Better Vision Transformer Attributions CVPR 2025
Theory-Inspired Deep Multi-View Multi-Label Learning with Incomplete Views and Noisy Labels CVPR 2025
Do ImageNet-trained Models Learn Shortcuts? The Impact of Frequency Shortcuts on Generalization CVPR 2025
Investigating Motivated Inference in Large Language Models EMNLP 2025
Set-Valued Sensitivity Analysis of Deep Neural Networks AAAI 2025
Generalization of Graph Neural Networks Is Robust to Model Mismatch AAAI 2025
Runtime Analysis for Multi-Objective Evolutionary Algorithms in Unbounded Integer Spaces AAAI 2025
Speeding Up the NSGA-II with a Simple Tie-Breaking Rule AAAI 2025
Batch Ensemble for Variance Dependent Regret in Stochastic Bandits AAAI 2025
A Unified Interpretation of Training-Time Out-of-Distribution Detection ICCV 2025
Reminiscence Attack on Residuals: Exploiting Approximate Machine Unlearning for Privacy ICCV 2025
CAPTURE: Evaluating Spatial Reasoning in Vision Language Models via Occluded Object Counting ICCV 2025
Cost-Aware Near-Optimal Policy Learning AAAI 2025
Can Large Language Models Win the International Mathematical Games? EMNLP 2025