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Theory

4950 directly classified papers

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Papers

A Meta-Learning Perspective on Transformers for Causal Language Modeling ACL 2024
Flexible mapping of abstract domains by grid cells via self-supervised extraction and projection of generalized velocity signals NIPS 2024
Abstract Reward Processes: Leveraging State Abstraction for Consistent Off-Policy Evaluation NIPS 2024
Beyond Probabilities: Unveiling the Misalignment in Evaluating Large Language Models ACL 2024
Language Models Do Hard Arithmetic Tasks Easily and Hardly Do Easy Arithmetic Tasks ACL 2024
Selectively Answering Visual Questions ACL 2024
Principles for AI-Assisted Social Influence and Their Application to Social Mediation EMNLP 2024
Beyond Classification: Definition and Density-Based Estimation of Calibration in Object Detection WACV 2024
Warm-up Free Policy Optimization: Improved Regret in Linear Markov Decision Processes NIPS 2024
Towards Tracing Trustworthiness Dynamics: Revisiting Pre-training Period of Large Language Models ACL 2024
Favi-Score: A Measure for Favoritism in Automated Preference Ratings for Generative AI Evaluation ACL 2024
Are Large Language Models (LLMs) Good Social Predictors? EMNLP 2024
Interventional Causal Discovery in a Mixture of DAGs NIPS 2024
Navigating the Modern Evaluation Landscape: Considerations in Benchmarks and Frameworks for Large Language Models (LLMs) COLING 2024
Vygotsky Distance: Measure for Benchmark Task Similarity COLING 2024
Online Consistency of the Nearest Neighbor Rule NIPS 2024
A generalized neural tangent kernel for surrogate gradient learning NIPS 2024
Eval-UA-tion 1.0: Benchmark for Evaluating Ukrainian (Large) Language Models COLING 2024
Scaling Law for Time Series Forecasting NIPS 2024
On the Stability and Generalization of Meta-Learning NIPS 2024
Rethinking Propagation for Unsupervised Graph Domain Adaptation AAAI 2024
Double-Descent Curves in Neural Networks: A New Perspective Using Gaussian Processes AAAI 2024
Forgetting Curve: A Reliable Method for Evaluating Memorization Capability for Long-Context Models EMNLP 2024
Scaling Laws Across Model Architectures: A Comparative Analysis of Dense and MoE Models in Large Language Models EMNLP 2024
Trust Region Methods for Nonconvex Stochastic Optimization beyond Lipschitz Smoothness AAAI 2024