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counterfactual

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Showing 451–475 of 2765 papers

TitleStatusHype
Vinoground: Scrutinizing LMMs over Dense Temporal Reasoning with Short VideosCode1
Reasoning Elicitation in Language Models via Counterfactual Feedback—0
Explainable Earth Surface Forecasting under Extreme EventsCode1
Learning Personalized Treatment Decisions in Precision Medicine: Disentangling Treatment Assignment Bias in Counterfactual Outcome Prediction and Biomarker IdentificationCode0
FaithEval: Can Your Language Model Stay Faithful to Context, Even If "The Moon is Made of Marshmallows"Code2
What If We Had Used a Different App? Reliable Counterfactual KPI Analysis in Wireless SystemsCode0
Mitigating Propensity Bias of Large Language Models for Recommender Systems—0
Ads Supply Personalization via Doubly Robust Learning—0
Counterfactual Evaluation of Ads Ranking Models through Domain Adaptation—0
Good Data Is All Imitation Learning Needs—0
CleanerCLIP: Fine-grained Counterfactual Semantic Augmentation for Backdoor Defense in Contrastive Learning—0
Topic-aware Causal Intervention for Counterfactual Detection—0
Counterfactual Token Generation in Large Language ModelsCode1
Linking in Style: Understanding learned features in deep learning modelsCode0
Controlling Risk of Retrieval-augmented Generation: A Counterfactual Prompting FrameworkCode0
SocialCircle+: Learning the Angle-based Conditioned Interaction Representation for Pedestrian Trajectory PredictionCode2
Thought-Path Contrastive Learning via Premise-Oriented Data Augmentation for Logical Reading ComprehensionCode0
Mining Causality: AI-Assisted Search for Instrumental Variables—0
Reference Points, Risk-Taking Behavior, and Competitive Outcomes in Sequential Settings—0
Counterfactual Explanations for Clustering Models—0
The Gaussian Discriminant Variational Autoencoder (GdVAE): A Self-Explainable Model with Counterfactual ExplanationsCode0
DifFaiRec: Generative Fair Recommender with Conditional Diffusion Model—0
SAGED: A Holistic Bias-Benchmarking Pipeline for Language Models with Customisable Fairness CalibrationCode0
THaMES: An End-to-End Tool for Hallucination Mitigation and Evaluation in Large Language ModelsCode0
Offline Reinforcement Learning for Learning to Dispatch for Job Shop SchedulingCode0
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