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TitleStatusHype
Length-Controlled AlpacaEval: A Simple Way to Debias Automatic EvaluatorsCode5
Beyond Reward Hacking: Causal Rewards for Large Language Model AlignmentCode4
On the limits of agency in agent-based modelsCode4
OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving with Counterfactual ReasoningCode4
An Actionable Framework for Assessing Bias and Fairness in Large Language Model Use CasesCode3
Anatomically-Controllable Medical Image Generation with Segmentation-Guided Diffusion ModelsCode3
Sparse Autoencoders Find Highly Interpretable Features in Language ModelsCode3
Towards CausalGPT: A Multi-Agent Approach for Faithful Knowledge Reasoning via Promoting Causal Consistency in LLMsCode3
Locating and Editing Factual Associations in GPTCode3
Difference-in-Differences Estimation with Spatial SpilloversCode3
Thought Anchors: Which LLM Reasoning Steps Matter?Code2
CausalVQA: A Physically Grounded Causal Reasoning Benchmark for Video ModelsCode2
Vision Language Models are BiasedCode2
Generalized Semantic Contrastive Learning via Embedding Side Information for Few-Shot Object DetectionCode2
OptiChat: Bridging Optimization Models and Practitioners with Large Language ModelsCode2
A Comprehensive Guide to Explainable AI: From Classical Models to LLMsCode2
Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAICode2
HourVideo: 1-Hour Video-Language UnderstandingCode2
Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention CausalityCode2
FaithEval: Can Your Language Model Stay Faithful to Context, Even If "The Moon is Made of Marshmallows"Code2
SocialCircle+: Learning the Angle-based Conditioned Interaction Representation for Pedestrian Trajectory PredictionCode2
Exploring the Causality of End-to-End Autonomous DrivingCode2
Extended Mind TransformersCode2
Decomposing and Editing Predictions by Modeling Model ComputationCode2
Generative Enhancement for 3D Medical ImagesCode2
Fairness Evaluation for Uplift Modeling in the Absence of Ground TruthCode2
Benchmarking Large Language Models in Retrieval-Augmented GenerationCode2
Causal Reasoning and Large Language Models: Opening a New Frontier for CausalityCode2
Counterfactual Learning on Graphs: A SurveyCode2
OmniXAI: A Library for Explainable AICode2
MACE: An Efficient Model-Agnostic Framework for Counterfactual ExplanationCode2
auton-survival: an Open-Source Package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Event DataCode2
Counterfactual Phenotyping with Censored Time-to-EventsCode2
Model-agnostic and Scalable Counterfactual Explanations via Reinforcement LearningCode2
Towards Unifying Feature Attribution and Counterfactual Explanations: Different Means to the Same EndCode2
The Language Interpretability Tool: Extensible, Interactive Visualizations and Analysis for NLP ModelsCode2
CausalVAE: Structured Causal Disentanglement in Variational AutoencoderCode2
Unbiased Scene Graph Generation from Biased TrainingCode2
Preserving Causal Constraints in Counterfactual Explanations for Machine Learning ClassifiersCode2
Interpretable Counterfactual Explanations Guided by PrototypesCode2
Explaining Machine Learning Classifiers through Diverse Counterfactual ExplanationsCode2
Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPRCode2
Diffusion-based Counterfactual Augmentation: Towards Robust and Interpretable Knee Osteoarthritis GradingCode1
Towards Robust Multimodal Emotion Recognition under Missing Modalities and Distribution ShiftsCode1
Curriculum Learning With Counterfactual Group Relative Policy Advantage For Multi-Agent Reinforcement LearningCode1
Llama See, Llama Do: A Mechanistic Perspective on Contextual Entrainment and Distraction in LLMsCode1
Antidote: A Unified Framework for Mitigating LVLM Hallucinations in Counterfactual Presupposition and Object PerceptionCode1
Demand Estimation with Text and Image DataCode1
Parameters vs. Context: Fine-Grained Control of Knowledge Reliance in Language ModelsCode1
DeCaFlow: A Deconfounding Causal Generative ModelCode1
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