Interpretability

Emergent Wisdom at BEA 2025 Shared Task: From Lexical Understanding to Reflective Reasoning for Pedagogical Ability Assessment ACL 2025 Emotionally Aware or Tone-Deaf? Evaluating Emotional Alignment in LLM-Based Conversational Recommendation Systems EMNLP 2025 EMPATHIA: Multi-Faceted Human-AI Collaboration for Refugee Integration NeurIPS 2025 Emphasising Structured Information: Integrating Abstract Meaning Representation into LLMs for Enhanced Open-Domain Dialogue Evaluation EMNLP 2025 Enabling LLM Knowledge Analysis via Extensive Materialization ACL 2025 Endowing Interpretability for Neural Cognitive Diagnosis by Efficient Kolmogorov-Arnold Networks IJCAI 2025 Enforcing Latent Euclidean Geometry in Single-Cell VAEs for Manifold Interpolation ICML 2025 Enhancing Automated Interpretability with Output-Centric Feature Descriptions ACL 2025 Enhancing Chain-of-Thought Reasoning via Neuron Activation Differential Analysis EMNLP 2025 Enhancing Cognition and Explainability of Multimodal Foundation Models with Self-Synthesized Data ICLR 2025 Enhancing Goal-oriented Proactive Dialogue Systems via Consistency Reflection and Correction ACL 2025 Enhancing Graph Of Thought: Enhancing Prompts with LLM Rationales and Dynamic Temperature Control ICLR 2025 Enhancing Interpretable Image Classification Through LLM Agents and Conditional Concept Bottleneck Models ACL 2025 Enhancing Marker Scoring Accuracy through Ordinal Confidence Modelling in Educational Assessments ACL 2025 Enhancing Multimodal Large Language Models Complex Reason via Similarity Computation AAAI 2025 Enhancing Multi-View Classification Reliability with Adaptive Rejection AAAI 2025 Enhancing Performance of Explainable AI Models with Constrained Concept Refinement ICML 2025 Enhancing Pre-trained Representation Classifiability can Boost its Interpretability ICLR 2025 Enhancing Rhetorical Figure Annotation: An Ontology-Based Web Application with RAG Integration COLING 2025 Enhancing Skin Disease Diagnosis: Interpretable Visual Concept Discovery with SAM WACV 2025 Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation ICCV 2025 Enhancing Testing-Time Robustness for Trusted Multi-View Classification in the Wild CVPR 2025 Enhancing the Comprehensibility of Text Explanations via Unsupervised Concept Discovery ACL 2025 Enhancing Trustworthiness of Graph Neural Networks with Rank-Based Conformal Training AAAI 2025 Enhancing Uncertainty Estimation and Interpretability with Bayesian Non-negative Decision Layer ICLR 2025