Interpretability

Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting ICLR 2024 Quantifying Political Polarization through the Lens of Machine Translation and Vicarious Offense AAAI 2024 Quantifying the Plausibility of Context Reliance in Neural Machine Translation ICLR 2024 Quantifying Uncertainty in Answers from any Language Model and Enhancing their Trustworthiness ACL 2024 Quantifying Uncertainty in Natural Language Explanations of Large Language Models AISTATS 2024 Quantum-inspired Language Model with Lindblad Master Equation and Interference Measurement for Sentiment Analysis NAACL 2024 QUDSELECT: Selective Decoding for Questions Under Discussion Parsing EMNLP 2024 Query-Efficient Textual Adversarial Example Generation for Black-Box Attacks NAACL 2024 Questioning the Survey Responses of Large Language Models NeurIPS 2024 ‘Quis custodiet ipsos custodes?’ Who will watch the watchmen? On Detecting AI-generated peer-reviews EMNLP 2024 RAGChecker: A Fine-grained Framework for Diagnosing Retrieval-Augmented Generation NeurIPS 2024 RAG-Driver: Generalisable Driving Explanations with Retrieval-Augmented In-Context Multi-Modal Large Language Model Learning RSS 2024 RAGViz: Diagnose and Visualize Retrieval-Augmented Generation EMNLP 2024 Raidar: geneRative AI Detection viA Rewriting ICLR 2024 Rainbow - A Benchmark for Systematic Testing of How Sensitive Visio-Linguistic Models are to Color Naming EACL 2024 RaTEScore: A Metric for Radiology Report Generation EMNLP 2024 Rationales for Answers to Simple Math Word Problems Confuse Large Language Models ACL 2024 Rationalizing Transformer Predictions via End-To-End Differentiable Self-Training EMNLP 2024 RAVEL: Evaluating Interpretability Methods on Disentangling Language Model Representations ACL 2024 READ: Improving Relation Extraction from an ADversarial Perspective NAACL 2024 Reasoning in Flux: Enhancing Large Language Models Reasoning through Uncertainty-aware Adaptive Guidance ACL 2024 Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning ICLR 2024 Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks NAACL 2024 Reasoning with Natural Language Explanations EMNLP 2024 Reassessing Evaluation Functions in Algorithmic Recourse: An Empirical Study from a Human-Centered Perspective IJCAI 2024