Theory

Choose Your Transformer: Improved Transferability Estimation of Transformer Models on Classification Tasks ACL 2024 Choosing the Number of Topics in LDA Models – A Monte Carlo Comparison of Selection Criteria JMLR 2024 Clarifying the Behavior and the Difficulty of Adversarial Training AAAI 2024 Clustering in Causal Attention Masking NeurIPS 2024 Clustering with Non-adaptive Subset Queries NeurIPS 2024 Code Repair with LLMs gives an Exploration-Exploitation Tradeoff NeurIPS 2024 Cognitive Information Bottleneck: Extracting Minimal Sufficient Cognitive Language Processing Signals COLING 2024 Commutative Scaling of Width and Depth in Deep Neural Networks JMLR 2024 Compact Proofs of Model Performance via Mechanistic Interpretability NeurIPS 2024 Complexity of Neural Network Training and ETR: Extensions with Effectively Continuous Functions AAAI 2024 Computational Complexity of Verifying the Group No-show Paradox IJCAI 2024 Computational Expressivity of Neural Language Models ACL 2024 Computing Nash Equilibria in Potential Games with Private Uncoupled Constraints AAAI 2024 Computing the Why-Provenance for Datalog Queries via SAT Solvers AAAI 2024 Concentration Tail-Bound Analysis of Coevolutionary and Bandit Learning Algorithms IJCAI 2024 ConceptMath: A Bilingual Concept-wise Benchmark for Measuring Mathematical Reasoning of Large Language Models ACL 2024 Conformal Inference for Online Prediction with Arbitrary Distribution Shifts JMLR 2024 Conformalized Multiple Testing after Data-dependent Selection NeurIPS 2024 Conformal Prediction for Class-wise Coverage via Augmented Label Rank Calibration NeurIPS 2024 Conformity, Confabulation, and Impersonation: Persona Inconstancy in Multi-Agent LLM Collaboration ACL 2024 Connecting the Dots in News Analysis: Bridging the Cross-Disciplinary Disparities in Media Bias and Framing NAACL 2024 Consistent Hierarchical Classification with A Generalized Metric AISTATS 2024 CONTESTS: a Framework for Consistency Testing of Span Probabilities in Language Models EMNLP 2024 Contrastive Learning is Spectral Clustering on Similarity Graph ICLR 2024 ControlSynth Neural ODEs: Modeling Dynamical Systems with Guaranteed Convergence NeurIPS 2024