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TitleStatusHype
How to Protect Yourself from 5G Radiation? Investigating LLM Responses to Implicit MisinformationCode0
Counterfactual Explanations for Model Ensembles Using Entropic Risk Measures—0
BiasEdit: Debiasing Stereotyped Language Models via Model EditingCode1
Impact of the Pandemic on Currency Circulation in Brazil: Projections using the SARIMA Model—0
A primer on optimal transport for causal inference with observational data—0
When Selection Meets Intervention: Additional Complexities in Causal DiscoveryCode0
UrbanVideo-Bench: Benchmarking Vision-Language Models on Embodied Intelligence with Video Data in Urban Spaces—0
Treble Counterfactual VLMs: A Causal Approach to HallucinationCode0
Fine-Grained Bias Detection in LLM: Enhancing detection mechanisms for nuanced biases—0
Constructions are Revealed in Word DistributionsCode0
A Causal Inference Approach for Quantifying Research Impact—0
Chart-HQA: A Benchmark for Hypothetical Question Answering in Charts—0
Welfare Effects of Self-Preferencing by a Platform: Empirical Evidence from Airbnb—0
GlucoLens: Explainable Postprandial Blood Glucose Prediction from Diet and Physical ActivityCode0
CREStE: Scalable Mapless Navigation with Internet Scale Priors and Counterfactual Guidance—0
Out-of-Distribution Generalization on Graphs via Progressive Inference—0
BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modeling—0
Towards Robust Multi-UAV Collaboration: MARL with Noise-Resilient Communication and Attention MechanismsCode0
Generate, Discriminate, Evolve: Enhancing Context Faithfulness via Fine-Grained Sentence-Level Self-Evolution—0
POPGym Arcade: Parallel Pixelated POMDPsCode1
Learning Exposure Mapping Functions for Inferring Heterogeneous Peer Effects—0
MoSFormer: Augmenting Temporal Context with Memory of Surgery for Surgical Phase Recognition—0
TRACE: A Self-Improving Framework for Robot Behavior Forecasting with Vision-Language Models—0
Personalized Causal Graph Reasoning for LLMs: A Case Study on Dietary Recommendations—0
Zero-Shot and Efficient Clarification Need Prediction in Conversational Search—0
Sparse Auto-Encoder Interprets Linguistic Features in Large Language Models—0
Can LLMs Explain Themselves Counterfactually?—0
Iterative Counterfactual Data AugmentationCode0
Flexible Counterfactual Explanations with Generative ModelsCode0
All You Need for Counterfactual Explainability Is Principled and Reliable Estimate of Aleatoric and Epistemic Uncertainty—0
Toward a Flexible Framework for Linear Representation Hypothesis Using Maximum Likelihood Estimation—0
Patterns Over Principles: The Fragility of Inductive Reasoning in LLMs under Noisy ObservationsCode0
A novel approach to the relationships between data features -- based on comprehensive examination of mathematical, technological, and causal methodology—0
SegSub: Evaluating Robustness to Knowledge Conflicts and Hallucinations in Vision-Language ModelsCode0
Population Dynamics Control with Partial Observations—0
Fighter Jet Navigation and Combat using Deep Reinforcement Learning with Explainable AICode0
Robust Counterfactual Inference in Markov Decision Processes—0
RobustX: Robust Counterfactual Explanations Made EasyCode1
Symmetrical Visual Contrastive Optimization: Aligning Vision-Language Models with Minimal Contrastive Images—0
Should I Trust You? Detecting Deception in Negotiations using Counterfactual RL—0
Robust Disentangled Counterfactual Learning for Physical Audiovisual Commonsense ReasoningCode0
Unsupervised Structural-Counterfactual Generation under Domain Shift—0
Counterfactual-Consistency Prompting for Relative Temporal Understanding in Large Language Models—0
DifCluE: Generating Counterfactual Explanations with Diffusion Autoencoders and modal clustering—0
CounterBench: A Benchmark for Counterfactuals Reasoning in Large Language Models—0
Causal Information Prioritization for Efficient Reinforcement Learning—0
Revisiting the Berkeley Admissions data: Statistical Tests for Causal Hypotheses—0
Generating Causally Compliant Counterfactual Explanations using ASP—0
Reevaluating Policy Gradient Methods for Imperfect-Information GamesCode1
Generalizability through Explainability: Countering Overfitting with Counterfactual Examples—0
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