Interpretability

Neural Reasoning Networks: Efficient Interpretable Neural Networks with Automatic Textual Explanations AAAI 2025 NeurFlow: Interpreting Neural Networks through Neuron Groups and Functional Interactions ICLR 2025 Neuron Activation Modulation for Text Style Transfer: Guiding Large Language Models ACL 2025 Neuron based Personality Trait Induction in Large Language Models ICLR 2025 Neuron Empirical Gradient: Discovering and Quantifying Neurons’ Global Linear Controllability ACL 2025 Neuron Explanations for Conformal Prediction (Student Abstract) AAAI 2025 Neuron-Level Differentiation of Memorization and Generalization in Large Language Models EMNLP 2025 Neuron-Level Sequential Editing for Large Language Models ACL 2025 Neurons to Words: A Novel Method for Automated Neural Network Interpretability and Alignment AAAI 2025 Neuroplasticity and Corruption in Model Mechanisms: A Case Study Of Indirect Object Identification NAACL 2025 Neuro-Symbolic Artificial Intelligence: Towards Improving the Reasoning Abilities of Large Language Models IJCAI 2025 Neuro-Symbolic Evaluation of Text-to-Video Models using Formal Verification CVPR 2025 Neuro-Symbolic Integration Brings Causal and Reliable Reasoning Proofs NAACL 2025 Neuro-Symbolic Natural Language Processing EMNLP 2025 Neurosymbolic Reinforcement Learning: Playing MiniHack with Probabilistic Logic Shields AAAI 2025 Neuro-symbolic Training for Reasoning over Spatial Language NAACL 2025 NILE: Internal Consistency Alignment in Large Language Models EMNLP 2025 NLI under the Microscope: What Atomic Hypothesis Decomposition Reveals NAACL 2025 NLP-ResTeam at LeWiDi-2025:Performance Shifts in Perspective Aware Models based on Evaluation Metrics EMNLP 2025 NNsight and NDIF: Democratizing Access to Open-Weight Foundation Model Internals ICLR 2025 No Black Boxes: Interpretable and Interactable Predictive Healthcare with Knowledge-Enhanced Agentic Causal Discovery EMNLP 2025 No Equations Needed: Learning System Dynamics Without Relying on Closed-Form ODEs ICLR 2025 Noise, Adaptation, and Strategy: Assessing LLM Fidelity in Decision-Making EMNLP 2025 NOMATTERXAI: Generating “No Matter What” Alterfactual Examples for Explaining Black-Box Text Classification Models AAAI 2025 No Need for Explanations: LLMs can implicitly learn from mistakes in-context EMNLP 2025