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Theory

4950 directly classified papers

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Papers

Evaluating the design space of diffusion-based generative models NIPS 2024
Analysis of Using Sigmoid Loss for Contrastive Learning AISTATS 2024
SpreadsheetBench: Towards Challenging Real World Spreadsheet Manipulation NIPS 2024
hinoki at SemEval-2024 Task 7: Numeral-Aware Headline Generation (English) NAACL 2024
On the Misspecification of Linear Assumptions in Synthetic Controls AISTATS 2024
Evaluating Step-by-Step Reasoning through Symbolic Verification NAACL 2024
Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks NIPS 2024
Base of RoPE Bounds Context Length NIPS 2024
Towards Tracing Trustworthiness Dynamics: Revisiting Pre-training Period of Large Language Models ACL 2024
BotChat: Evaluating LLMs’ Capabilities of Having Multi-Turn Dialogues NAACL 2024
Findings of the AmericasNLP 2024 Shared Task on Machine Translation into Indigenous Languages NAACL 2024
Lower Bounds on the Expressivity of Recurrent Neural Language Models NAACL 2024
Equivalence Testing: The Power of Bounded Adaptivity AISTATS 2024
Structured d-DNNF Is Not Closed under Negation IJCAI 2024
The Relative Clauses AMR Parsers Hate Most COLING 2024
Graph Neural Networks and Arithmetic Circuits NIPS 2024
Discriminant Distance-Aware Representation on Deterministic Uncertainty Quantification Methods AISTATS 2024
Anisotropy is Not Inherent to Transformers NAACL 2024
On the (In)feasibility of ML Backdoor Detection as an Hypothesis Testing Problem AISTATS 2024
Credit Attribution and Stable Compression NIPS 2024
Effect of Ambient-Intrinsic Dimension Gap on Adversarial Vulnerability AISTATS 2024
Schroedinger’s Threshold: When the AUC Doesn’t Predict Accuracy COLING 2024
LeanReasoner: Boosting Complex Logical Reasoning with Lean NAACL 2024
Monitoring machine learning-based risk prediction algorithms in the presence of performativity AISTATS 2024
Enhancing Robustness in Deep Reinforcement Learning: A Lyapunov Exponent Approach NIPS 2024