Interpretability

Improving ARDS Diagnosis Through Context-Aware Concept Bottleneck Models MLHC 2025 Improving Causal Interventions in Amnesic Probing with Mean Projection or LEACE ACL 2025 Improving Contextual Faithfulness of Large Language Models via Retrieval Heads-Induced Optimization ACL 2025 Improving Explainability of Sentence-level Metrics via Edit-level Attribution for Grammatical Error Correction ACL 2025 Improving Explainable Fact-Checking with Claim-Evidence Correlations COLING 2025 Improving Instruction-Following in Language Models through Activation Steering ICLR 2025 Improving Integrated Gradient-based Transferable Adversarial Examples by Refining the Integration Path AAAI 2025 Improving Large Language Model Safety with Contrastive Representation Learning EMNLP 2025 Improving Large Language Models Function Calling and Interpretability via Guided-Structured Templates EMNLP 2025 Improving LLM Reasoning through Interpretable Role-Playing Steering EMNLP 2025 Improving Memory Efficiency for Training KANs via Meta Learning ICML 2025 Improving Model Factuality with Fine-grained Critique-based Evaluator ACL 2025 Improving Out-of-Distribution Detection with Markov Logic Networks ICML 2025 Improving Preference Extraction In LLMs By Identifying Latent Knowledge Through Classifying Probes ACL 2025 Improving Rationality in the Reasoning Process of Language Models through Self-playing Game ICML 2025 Improving Reasoning Performance in Large Language Models via Representation Engineering ICLR 2025 Improving Rule-based Reasoning in LLMs using Neurosymbolic Representations EMNLP 2025 Improving Uncertainty Estimation through Semantically Diverse Language Generation ICLR 2025 Improving Uncertainty Estimation with Confidence-Aware Training Data WACV 2025 In-Context Learning of Soft Nearest Neighbor Classifiers for Intelligible Tabular Machine Learning ACL 2025 Incremental Sentence Processing Mechanisms in Autoregressive Transformer Language Models NAACL 2025 Indian Grammatical Tradition-Inspired Universal Semantic Representation Bank (USR Bank 1.0) AACL 2025 IndicSentEval: How Effectively do Multilingual Transformer Models encode Linguistic Properties for Indic Languages? IJCNLP 2025 INDRA: Iterative Difficulty Refinement Attention for MCQ Difficulty Estimation for Indic Languages AACL 2025 Inducing, Detecting and Characterising Neural Modules: A Pipeline for Functional Interpretability in Reinforcement Learning ICML 2025