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Interpretability

8,292 papers

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Papers

Realizing AI for Impact: Towards Participatory Human-AI Collaboration for Water Conservation and Reproductive Health AAAI 2025 ReasonerRank: Redefining Language Model Evaluation with Ground-Truth-Free Ranking Frameworks ACL 2025 ReasonGraph: Visualization of Reasoning Methods and Extended Inference Paths ACL 2025 Reasoning Circuits in Language Models: A Mechanistic Interpretation of Syllogistic Inference ACL 2025 Reasoning-Enhanced Healthcare Predictions with Knowledge Graph Community Retrieval ICLR 2025 Reasoning to Attend: Try to Understand How <SEG> Token Works CVPR 2025 Reasoning under Uncertainty: Efficient LLM Inference via Unsupervised Confidence Dilution and Convergent Adaptive Sampling EMNLP 2025 ReasoningWeekly: A General Knowledge and Verbal Reasoning Challenge for Large Language Models IJCNLP 2025 Reason to Rote: Rethinking Memorization in Reasoning EMNLP 2025 Recitation over Reasoning: How Cutting-Edge Language Models Can Fail on Elementary School-Level Reasoning Problems? IJCNLP 2025 ReCogLab: a framework testing relational reasoning & cognitive hypotheses on LLMs ICLR 2025 Recognizing Limits: Investigating Infeasibility in Large Language Models EMNLP 2025 Reconsidering Faithfulness in Regular, Self-Explainable and Domain Invariant GNNs ICLR 2025 Reconsidering LLM Uncertainty Estimation Methods in the Wild ACL 2025 ReCoT: Reflective Self-Correction Training for Mitigating Confirmation Bias in Large Vision-Language Models ICCV 2025 Recoverable Anonymization for Pose Estimation: A Privacy-Enhancing Approach WACV 2025 ReDeEP: Detecting Hallucination in Retrieval-Augmented Generation via Mechanistic Interpretability ICLR 2025 Reducing Hallucinations in Large Vision-Language Models via Latent Space Steering ICLR 2025 Redundancy Undermines the Trustworthiness of Self-Interpretable GNNs ICML 2025 Reefknot: A Comprehensive Benchmark for Relation Hallucination Evaluation, Analysis and Mitigation in Multimodal Large Language Models ACL 2025 REFIND at SemEval-2025 Task 3: Retrieval-Augmented Factuality Hallucination Detection in Large Language Models SemEval 2025 Refining Attention for Explainable and Noise-Robust Fact-Checking with Transformers EMNLP 2025 Refining the Sample Complexity of Comparative Learning ALT 2025 Reflection-Bench: Evaluating Epistemic Agency in Large Language Models ICML 2025 Reflexive Guidance: Improving OoDD in Vision-Language Models via Self-Guided Image-Adaptive Concept Generation ICLR 2025