Interpretability

The Potential and Challenges of Evaluating Attitudes, Opinions, and Values in Large Language Models EMNLP 2024 The Probabilities Also Matter: A More Faithful Metric for Faithfulness of Free-Text Explanations in Large Language Models ACL 2024 There Are No Shortcuts to Anywhere Worth Going: Identifying Shortcuts in Deep Learning Models for Medical Image Analysis MIDL 2024 The Reversal Curse: LLMs trained on “A is B” fail to learn “B is A” ICLR 2024 The Role of Perception, Acceptance, and Cognition in the Usefulness of Robot Explanations IJCAI 2024 The Role of Syntactic Span Preferences in Post-Hoc Explanation Disagreement COLING 2024 The Selective G-Bispectrum and its Inversion: Applications to G-Invariant Networks NeurIPS 2024 Thesis Proposal: Detecting Agency Attribution EACL 2024 Thesis Summary: Operationalizing User-Inclusive Transparency in Artificial Intelligence Systems AAAI 2024 Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph ICLR 2024 THRONE: An Object-based Hallucination Benchmark for the Free-form Generations of Large Vision-Language Models CVPR 2024 TIBET: Identifying and Evaluating Biases in Text-to-Image Generative Models ECCV 2024 Tilt your Head: Activating the Hidden Spatial-Invariance of Classifiers ICML 2024 TimeBench: A Comprehensive Evaluation of Temporal Reasoning Abilities in Large Language Models ACL 2024 TimeFrame: Querying and Visualizing Event Semantic Frames in Time COLING 2024 TimeToM: Temporal Space is the Key to Unlocking the Door of Large Language Models’ Theory-of-Mind ACL 2024 TimeX++: Learning Time-Series Explanations with Information Bottleneck ICML 2024 TM-TREK at SemEval-2024 Task 8: Towards LLM-Based Automatic Boundary Detection for Human-Machine Mixed Text SemEval 2024 To Believe or Not to Believe Your LLM: Iterative Prompting for Estimating Epistemic Uncertainty NeurIPS 2024 To Err Is Human, How about Medical Large Language Models? Comparing Pre-trained Language Models for Medical Assessment Errors and Reliability COLING 2024 Token Erasure as a Footprint of Implicit Vocabulary Items in LLMs EMNLP 2024 TokenSHAP: Interpreting Large Language Models with Monte Carlo Shapley Value Estimation EMNLP 2024 Token Transformation Matters: Towards Faithful Post-hoc Explanation for Vision Transformer CVPR 2024 To Know or Not To Know? Analyzing Self-Consistency of Large Language Models under Ambiguity EMNLP 2024 ToMBench: Benchmarking Theory of Mind in Large Language Models ACL 2024