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Learning Theory

5312 directly classified papers

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Papers

Circuit Compositions: Exploring Modular Structures in Transformer-Based Language Models ACL 2025
When Can We Approximate Wide Contrastive Models with Neural Tangent Kernels and Principal Component Analysis? AAAI 2025
Generalized Convergence Analysis of Tsetlin Automaton Based Algorithms: A Probabilistic Approach to Concept Learning AAAI 2025
Mind the Gap: A Closer Look at Tokenization for Multiple-Choice Question Answering with LLMs EMNLP 2025
Stochastic Chameleons: Irrelevant Context Hallucinations Reveal Class-Based (Mis)Generalization in LLMs ACL 2025
Don’t Take the Premise for Granted: Evaluating the Premise Critique Ability of Large Language Models EMNLP 2025
Evaluating Step-by-step Reasoning Traces: A Survey EMNLP 2025
CDT: A Comprehensive Capability Framework for Large Language Models Across Cognition, Domain, and Task EMNLP 2025
Generalization Analysis for Deep Contrastive Representation Learning AAAI 2025
Do BERT-Like Bidirectional Models Still Perform Better on Text Classification in the Era of LLMs? EMNLP 2025
Exploring the Hidden Reasoning Process of Large Language Models by Misleading Them EMNLP 2025
Humanity’s Last Code Exam: Can Advanced LLMs Conquer Human’s Hardest Code Competition? EMNLP 2025
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? AAAI 2025
Unveiling Internal Reasoning Modes in LLMs: A Deep Dive into Latent Reasoning vs. Factual Shortcuts with Attribute Rate Ratio EMNLP 2025
A Theory of Learning Unified Model via Knowledge Integration from Label Space Varying Domains CVPR 2025
Do We Always Need the Simplicity Bias? Looking for Optimal Inductive Biases in the Wild CVPR 2025
From Data to Knowledge: Evaluating How Efficiently Language Models Learn Facts ACL 2025
Regret Analysis of Multi-task Representation Learning for Linear-Quadratic Adaptive Control AAAI 2025
The Surprising Effectiveness of Infinite-Width NTKs for Characterizing and Improving Model Training AAAI 2025
Lexical Recall or Logical Reasoning: Probing the Limits of Reasoning Abilities in Large Language Models ACL 2025
Statistical Deficiency for Task Inclusion Estimation ACL 2025
MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark ACL 2025
VideoVista-CulturalLingo: 360° Horizons-Bridging Cultures, Languages, and Domains in Video Comprehension ACL 2025
OpenHuEval: Evaluating Large Language Model on Hungarian Specifics ACL 2025
Granular Concept Circuits: Toward a Fine-Grained Circuit Discovery for Concept Representations ICCV 2025