Interpretability

How Do Transformers Learn In-Context Beyond Simple Functions? A Case Study on Learning with Representations ICLR 2024 How Graph Neural Networks Learn: Lessons from Training Dynamics ICML 2024 How Interpretable Are Interpretable Graph Neural Networks? ICML 2024 How Interpretable are Reasoning Explanations from Prompting Large Language Models? NAACL 2024 How Language Models Prioritize Contextual Grammatical Cues? EMNLP 2024 How Large Language Models Encode Context Knowledge? A Layer-Wise Probing Study COLING 2024 How Learning by Reconstruction Produces Uninformative Features For Perception ICML 2024 How Private is Low-Frequency Speech Audio in the Wild? An Analysis of Verbal Intelligibility by Humans and Machines Interspeech 2024 How Universal Polynomial Bases Enhance Spectral Graph Neural Networks: Heterophily, Over-smoothing, and Over-squashing ICML 2024 How Well Do Large Language Models Truly Ground? NAACL 2024 How You Prompt Matters! Even Task-Oriented Constraints in Instructions Affect LLM-Generated Text Detection EMNLP 2024 Human and System Perspectives on the Expression of Irony: An Analysis of Likelihood Labels and Rationales COLING 2024 Human-Centered Evaluation of Language Technologies EMNLP 2024 Human-like Linguistic Biases in Neural Speech Models: Phonetic Categorization and Phonotactic Constraints in Wav2Vec2.0 Interspeech 2024 HumanRankEval: Automatic Evaluation of LMs as Conversational Assistants NAACL 2024 HypoTermQA: Hypothetical Terms Dataset for Benchmarking Hallucination Tendency of LLMs EACL 2024 Hypothesis Testing the Circuit Hypothesis in LLMs NeurIPS 2024 I-AI: A Controllable & Interpretable AI System for Decoding Radiologists' Intense Focus for Accurate CXR Diagnoses WACV 2024 I am a Strange Dataset: Metalinguistic Tests for Language Models ACL 2024 IBCA: An Intelligent Platform for Social Insurance Benefit Qualification Status Assessment AAAI 2024 I Can Tell What I am Doing: Toward Real-World Natural Language Grounding of Robot Experiences CoRL 2024 I-CEE: Tailoring Explanations of Image Classification Models to User Expertise AAAI 2024 ICLEF: In-Context Learning with Expert Feedback for Explainable Style Transfer ACL 2024 ICON: Improving Inter-Report Consistency in Radiology Report Generation via Lesion-aware Mixup Augmentation EMNLP 2024 Identifying and Mitigating Annotation Bias in Natural Language Understanding using Causal Mediation Analysis ACL 2024