Skip to content
conftrace_

model diagnosis

15 papers

Explore in graph

Co-occurring keywords · papers mentioning both

adversarial example (2) model explanation (2) multimodal learning (2) interpretable region (1) data drift (1) sparse and-rule (1) pretrain language model (1) error analysis (1) neural language model (1) inter-annotator agreement (1)

Papers

Do GUI Grounders Truly Understand UI Elements? EACL 2026 Diagnosing Memorization in Chain-of-Thought Reasoning, One Token at a Time EMNLP 2025 Interpreting Pretrained Language Models via Concept Bottlenecks (Extended Abstract) IJCAI 2025 Model Diagnosis and Correction via Linguistic and Implicit Attribute Editing CVPR 2025 A General Model for Aggregating Annotations AcrossSimple, Complex, and Multi-object Annotation Tasks (Abstract Reprint) AAAI 2024 MD tree: a model-diagnostic tree grown on loss landscape ICML 2024 Diagnosing and Rectifying Vision Models using Language ICLR 2023 Heavy Sets with Applications to Interpretable Machine Learning Diagnostics AISTATS 2023 Which Spurious Correlations Impact Reasoning in NLI Models? A Visual Interactive Diagnosis through Data-Constrained Counterfactuals ACL 2023 Zero-Shot Model Diagnosis CVPR 2023 On the data requirements of probing ACL 2022 Robust Feature-Level Adversaries are Interpretability Tools NeurIPS 2022 Detecting and Diagnosing Adversarial Images with Class-Conditional Capsule Reconstructions ICLR 2020 On Relating Explanations and Adversarial Examples NeurIPS 2019 QADiver: Interactive Framework for Diagnosing QA Models AAAI 2019