Interpretability

X-CoT: Explainable Text-to-Video Retrieval via LLM-based Chain-of-Thought Reasoning EMNLP 2025 XDAC: XAI-Driven Detection and Attribution of LLM-Generated News Comments in Korean ACL 2025 xFinder: Large Language Models as Automated Evaluators for Reliable Evaluation ICLR 2025 X-Hacking: The Threat of Misguided AutoML ICML 2025 Your RAG is Unfair: Exposing Fairness Vulnerabilities in Retrieval-Augmented Generation via Backdoor Attacks EMNLP 2025 Zero-knowledge LLM hallucination detection and mitigation through fine-grained cross-model consistency EMNLP 2025 Zono-Conformal Prediction: Zonotope-Based Uncertainty Quantification for Regression and Classification Tasks JMLR 2025 𝛿-Stance: A Large-Scale Real World Dataset of Stances in Legal Argumentation ACL 2025 dattri: A Library for Efficient Data Attribution NeurIPS 2024 A Brain-Inspired Way of Reducing the Network Complexity via Concept-Regularized Coding for Emotion Recognition AAAI 2024 ABSEval: An Agent-based Framework for Script Evaluation EMNLP 2024 Abstracted Shapes as Tokens - A Generalizable and Interpretable Model for Time-series Classification NeurIPS 2024 Abstraction-of-Thought Makes Language Models Better Reasoners EMNLP 2024 A Cat Is A Cat (Not A Dog!): Unraveling Information Mix-ups in Text-to-Image Encoders through Causal Analysis and Embedding Optimization NeurIPS 2024 Accelerating Sparse Autoencoder Training via Layer-Wise Transfer Learning in Large Language Models EMNLP 2024 Accelerating the Global Aggregation of Local Explanations AAAI 2024 A Chain-of-Thought Is as Strong as Its Weakest Link: A Benchmark for Verifiers of Reasoning Chains ACL 2024 A Closer Look at the Self-Verification Abilities of Large Language Models in Logical Reasoning NAACL 2024 A Concept-Based Explainability Framework for Large Multimodal Models NeurIPS 2024 A Consistency and Integration Model with Adaptive Thresholds for Weakly Supervised Object Localization IJCAI 2024 A Construction Grammar Corpus of Varying Schematicity: A Dataset for the Evaluation of Abstractions in Language Models COLING 2024 A Convolutional Neural Network Interpretable Framework for Human Ventral Visual Pathway Representation AAAI 2024 A Critical Look at Meta-evaluating Summarisation Evaluation Metrics EMNLP 2024 A Critical Study of What Code-LLMs (Do Not) Learn ACL 2024 Activation Scaling for Steering and Interpreting Language Models EMNLP 2024