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Theory

4950 directly classified papers

Papers per year

Papers

On the Distortion of Committee Election with 1-Euclidean Preferences and Few Distance Queries AAAI 2025
(1+1) Genetic Programming with Functionally Complete Instruction Sets Can Evolve Boolean Conjunctions and Disjunctions with Arbitrarily Small Error AAAI 2025
Disentangling Safe and Unsafe Image Corruptions via Anisotropy and Locality CVPR 2025
Large Language Model Evaluation via Matrix Nuclear-Norm EMNLP 2025
Uncertainty-Aware Contrastive Decoding ACL 2025
On Evaluating LLMs’ Capabilities as Functional Approximators: A Bayesian Evaluation Framework COLING 2025
Can LLMs Obfuscate Code? A Systematic Analysis of Large Language Models into Assembly Code Obfuscation AAAI 2025
Multi-Objective Evolution of Heuristic Using Large Language Model AAAI 2025
Big Escape Benchmark: Evaluating Human-Like Reasoning in Language Models via Real-World Escape Room Challenges ACL 2025
Error bounds for particle gradient descent, and extensions of the log-Sobolev and Talagrand inequalities JMLR 2025
Factual Knowledge in Language Models: Robustness and Anomalies under Simple Temporal Context Variations ACL 2025
EvolveBench: A Comprehensive Benchmark for Assessing Temporal Awareness in LLMs on Evolving Knowledge ACL 2025
Arena-lite: Efficient and Reliable Large Language Model Evaluation via Tournament-Based Direct Comparisons EMNLP 2025
The (Exact) Price of Cardinality for Indivisible Goods: A Parametric Perspective AAAI 2025
Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning AAAI 2025
On the Statistical Properties of Generative Adversarial Models for Low Intrinsic Data Dimension JMLR 2025
TorchCP: A Python Library for Conformal Prediction JMLR 2025
A Generalizable Anomaly Detection Method in Dynamic Graphs AAAI 2025
On the Approximation of Kernel functions JMLR 2025
Learning Deep Dissipative Dynamics AAAI 2025
Analyzing Uncertainty of LLM-as-a-Judge: Interval Evaluations with Conformal Prediction EMNLP 2025
Symbolic Neural Ordinary Differential Equations AAAI 2025
A Wiener Process Perspective on Local Intrinsic Dimension Estimation Methods AAAI 2025
Instability, Computational Efficiency and Statistical Accuracy JMLR 2025
On the O(sqrt(d)/T^(1/4)) Convergence Rate of RMSProp and Its Momentum Extension Measured by l_1 Norm JMLR 2025