Interpretability

Reconfidencing LLMs from the Grouping Loss Perspective EMNLP 2024 ReDiffuser: Reliable Decision-Making Using a Diffuser with Confidence Estimation ICML 2024 Reference-free Hallucination Detection for Large Vision-Language Models EMNLP 2024 REFINER: Reasoning Feedback on Intermediate Representations EACL 2024 Refusal in Language Models Is Mediated by a Single Direction NeurIPS 2024 RegExplainer: Generating Explanations for Graph Neural Networks in Regression Tasks NeurIPS 2024 Relational Concept Bottleneck Models NeurIPS 2024 Relevant Irrelevance: Generating Alterfactual Explanations for Image Classifiers IJCAI 2024 Reliability Estimation of News Media Sources: Birds of a Feather Flock Together NAACL 2024 Reliable Conflictive Multi-View Learning AAAI 2024 REMEDI: Corrective Transformations for Improved Neural Entropy Estimation ICML 2024 Remember This Event That Year? Assessing Temporal Information and Understanding in Large Language Models EMNLP 2024 Removing Spurious Concepts from Neural Network Representations via Joint Subspace Estimation ICML 2024 ReportGPT: Human-in-the-loop Verifiable Table-to-Text Generation EMNLP 2024 Representational Analysis of Binding in Language Models EMNLP 2024 Representation Degeneration Problem in Prompt-based Models for Natural Language Understanding COLING 2024 Representing Molecules as Random Walks Over Interpretable Grammars ICML 2024 Reproducibility of predictive networks for mouse visual cortex NeurIPS 2024 ReproHum #0033-3: Comparable Relative Results with Lower Absolute Values in a Reproduction Study COLING 2024 RE-RAG: Improving Open-Domain QA Performance and Interpretability with Relevance Estimator in Retrieval-Augmented Generation EMNLP 2024 Resources and Methods for Analysing Political Rhetoric and Framing in Parliamentary Debates COLING 2024 Respect the model: Fine-grained and Robust Explanation with Sharing Ratio Decomposition ICLR 2024 RETAIN: Interactive Tool for Regression Testing Guided LLM Migration EMNLP 2024 Rethinking Branching on Exact Combinatorial Optimization Solver: The First Deep Symbolic Discovery Framework ICLR 2024 Rethinking Data Shapley for Data Selection Tasks: Misleads and Merits ICML 2024