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Showing 601–650 of 2765 papers

TitleStatusHype
Treble Counterfactual VLMs: A Causal Approach to HallucinationCode0
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
CREStE: Scalable Mapless Navigation with Internet Scale Priors and Counterfactual Guidance—0
GlucoLens: Explainable Postprandial Blood Glucose Prediction from Diet and Physical ActivityCode0
Towards Robust Multi-UAV Collaboration: MARL with Noise-Resilient Communication and Attention MechanismsCode0
BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modeling—0
Out-of-Distribution Generalization on Graphs via Progressive Inference—0
Generate, Discriminate, Evolve: Enhancing Context Faithfulness via Fine-Grained Sentence-Level Self-Evolution—0
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
All You Need for Counterfactual Explainability Is Principled and Reliable Estimate of Aleatoric and Epistemic Uncertainty—0
Flexible Counterfactual Explanations with Generative ModelsCode0
Patterns Over Principles: The Fragility of Inductive Reasoning in LLMs under Noisy ObservationsCode0
Toward a Flexible Framework for Linear Representation Hypothesis Using Maximum Likelihood Estimation—0
A novel approach to the relationships between data features -- based on comprehensive examination of mathematical, technological, and causal methodology—0
Robust Counterfactual Inference in Markov Decision Processes—0
Symmetrical Visual Contrastive Optimization: Aligning Vision-Language Models with Minimal Contrastive Images—0
Population Dynamics Control with Partial Observations—0
SegSub: Evaluating Robustness to Knowledge Conflicts and Hallucinations in Vision-Language ModelsCode0
Fighter Jet Navigation and Combat using Deep Reinforcement Learning with Explainable AICode0
Robust Disentangled Counterfactual Learning for Physical Audiovisual Commonsense ReasoningCode0
Should I Trust You? Detecting Deception in Negotiations using Counterfactual RL—0
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
Generalizability through Explainability: Countering Overfitting with Counterfactual Examples—0
Counterfactual Explanations as Plans—0
Generating Causally Compliant Counterfactual Explanations using ASP—0
ChorusCVR: Chorus Supervision for Entire Space Post-Click Conversion Rate Modeling—0
Model-Free Counterfactual Subset Selection at Scale—0
Advancing climate model interpretability: Feature attribution for Arctic melt anomalies—0
Distinguishing Cause from Effect with Causal Velocity ModelsCode0
From Counterfactuals to Trees: Competitive Analysis of Model Extraction AttacksCode0
CAMEF: Causal-Augmented Multi-Modality Event-Driven Financial Forecasting by Integrating Time Series Patterns and Salient Macroeconomic Announcements—0
Learning Strategic Language Agents in the Werewolf Game with Iterative Latent Space Policy Optimization—0
Leveraging a Simulator for Learning Causal Representations from Post-Treatment Covariates for CATE—0
Fairness Aware Reinforcement Learning via Proximal Policy Optimization—0
Counterfactual Query Rewriting to Use Historical Relevance FeedbackCode0
DILLEMA: Diffusion and Large Language Models for Multi-Modal AugmentationCode0
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