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Learning Theory

5312 directly classified papers

Papers per year

Papers

SELF-[IN]CORRECT: LLMs Struggle with Discriminating Self-Generated Responses AAAI 2025
Training on the Benchmark Is Not All You Need AAAI 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
Towards a Holistic and Automated Evaluation Framework for Multi-Level Comprehension of LLMs in Book-Length Contexts EMNLP 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
Sample Complexity of the Linear Quadratic Regulator: A Reinforcement Learning Lens JMLR 2025
Learning with Linear Function Approximations in Mean-Field Control JMLR 2025
LLMs cannot spot math errors, even when allowed to peek into the solution EMNLP 2025
CAST: Cross-modal Alignment Similarity Test for Vision Language Models COLING 2025
Evaluating Morphological Compositional Generalization in Large Language Models NAACL 2025
What Did I Do Wrong? Quantifying LLMs’ Sensitivity and Consistency to Prompt Engineering NAACL 2025
ODP-Bench: Benchmarking Out-of-Distribution Performance Prediction ICCV 2025
Alignment of CNN and Human Judgments of Geometric and Topological Concepts AAAI 2025
A-I-RAVEN and I-RAVEN-Mesh: Two New Benchmarks for Abstract Visual Reasoning IJCAI 2025
Bypassing LLM Guardrails: An Empirical Analysis of Evasion Attacks against Prompt Injection and Jailbreak Detection Systems ACL 2025
Trick or Neat: Adversarial Ambiguity and Language Model Evaluation ACL 2025
PreSumm: Predicting Summarization Performance Without Summarizing ACL 2025
Revisiting Scaling Laws for Language Models: The Role of Data Quality and Training Strategies ACL 2025
A Theory of Response Sampling in LLMs: Part Descriptive and Part Prescriptive ACL 2025
An Asymptotically Optimal Coordinate Descent Algorithm for Learning Bayesian Networks from Gaussian Models JMLR 2025