selection bia

Best Arm Identification with Biased Contexts AAAI 2026 Debiased Cognitive Diagnosis: A Contrastive Counterfactual Modeling Method via Variational Autoencoder AAAI 2026 Jump-teaching: Combating Sample Selection Bias via Temporal Disagreement AAAI 2026 Mitigating Selection Bias in Large Language Models via Permutation-Aware GRPO ACL 2026 Addressing Blind Guessing: Calibration of Selection Bias in Multiple-Choice Question Answering by Video Language Models ACL 2025 Benchmarking and Mitigating MCQA Selection Bias of Large Vision-Language Models EMNLP 2025 CalibraEval: Calibrating Prediction Distribution to Mitigate Selection Bias in LLMs-as-Judges ACL 2025 Invariant Deep Uplift Modeling for Incentive Assignment in Online Marketing via Probability of Necessity and Sufficiency ICML 2025 Latent Variable Causal Discovery under Selection Bias ICML 2025 Learning with Selectively Labeled Data from Multiple Decision-makers ICML 2025 Mitigating Selection Bias with Node Pruning and Auxiliary Options ACL 2025 Quantifying and Mitigating Selection Bias in LLMs: A Transferable LoRA Fine-Tuning and Efficient Majority Voting Approach IJCNLP 2025 When Selection Meets Intervention: Additional Complexities in Causal Discovery ICLR 2025 Addressing Hidden Confounding with Heterogeneous Observational Datasets for Recommendation NeurIPS 2024 A General Identification Algorithm For Data Fusion Problems Under Systematic Selection UAI 2024 Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference ICLR 2024 Continuous Treatment Effects with Surrogate Outcomes ICML 2024 Critical Gap Between Generalization Error and Empirical Error in Active Learning WACV 2024 Debiased Collaborative Filtering with Kernel-Based Causal Balancing ICLR 2024 DiffPO: A causal diffusion model for learning distributions of potential outcomes NeurIPS 2024 Large Language Models Are Not Robust Multiple Choice Selectors ICLR 2024 Robustly Improving Bandit Algorithms with Confounded and Selection Biased Offline Data: A Causal Approach AAAI 2024 Statistical Inference Under Constrained Selection Bias ICML 2024 Strengthened Symbol Binding Makes Large Language Models Reliable Multiple-Choice Selectors ACL 2024 Unveiling Selection Biases: Exploring Order and Token Sensitivity in Large Language Models ACL 2024