Interpretability

Phenomenal Yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement ICLR 2024 PhoneViz: exploring alignments at a glance Interspeech 2024 PICNN: A Pathway towards Interpretable Convolutional Neural Networks AAAI 2024 Piecewise Linear Parametrization of Policies: Towards Interpretable Deep Reinforcement Learning ICLR 2024 Pink: Unveiling the Power of Referential Comprehension for Multi-modal LLMs CVPR 2024 Pix2Code: Learning to Compose Neural Visual Concepts as Programs UAI 2024 Pixel-Grounded Prototypical Part Networks WACV 2024 Plausible Extractive Rationalization through Semi-Supervised Entailment Signal ACL 2024 Plug-and-Play Posterior Sampling under Mismatched Measurement and Prior Models ICLR 2024 Pointwise-in-time diagnostics for reinforcement learning during training and runtime L4DC 2024 Pollice Verso at SemEval-2024 Task 6: The Roman Empire Strikes Back SemEval 2024 Positional Knowledge is All You Need: Position-induced Transformer (PiT) for Operator Learning ICML 2024 Position: An Inner Interpretability Framework for AI Inspired by Lessons from Cognitive Neuroscience ICML 2024 Position: Cracking the Code of Cascading Disparity Towards Marginalized Communities ICML 2024 Position: Explain to Question not to Justify ICML 2024 Position: On the Societal Impact of Open Foundation Models ICML 2024 Position: Stop Making Unscientific AGI Performance Claims ICML 2024 Position: Technical Research and Talent is Needed for Effective AI Governance ICML 2024 Position: Topological Deep Learning is the New Frontier for Relational Learning ICML 2024 POSIX: A Prompt Sensitivity Index For Large Language Models EMNLP 2024 Post-Hoc Answer Attribution for Grounded and Trustworthy Long Document Comprehension: Task, Insights, and Challenges NAACL 2024 Post-hoc Part-Prototype Networks ICML 2024 Pragmatic Norms Are All You Need – Why The Symbol Grounding Problem Does Not Apply to LLMs EMNLP 2024 Predicting and Interpreting Energy Barriers of Metallic Glasses with Graph Neural Networks ICML 2024 Predicting Long-Term Allograft Survival in Liver Transplant Recipients MLHC 2024