conftrace_

black-box model

90 papers

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Co-occurring keywords

model explanation (155) large language model (13587) model interpretability (519) knowledge distillation (3725) domain adaptation (4595) local explanation (42) transfer learning (5449) surrogate model (181) in-context learning (1405) model-agnostic explanation (18)

Papers

Dissect Black Box: Interpreting for Rule-Based Explanations in Unsupervised Anomaly Detection NIPS 2024
Data Contamination Calibration for Black-box LLMs ACL 2024
DORY: Deliberative Prompt Recovery for LLM ACL 2024
Tree-of-Traversals: A Zero-Shot Reasoning Algorithm for Augmenting Black-box Language Models with Knowledge Graphs ACL 2024
Black-Box Forgetting NIPS 2024
Fundamental Limits of Prompt Compression: A Rate-Distortion Framework for Black-Box Language Models NIPS 2024
Data Efficient Paradigms for Personalized Assessment of Black-Box Taskable AI Systems AAAI 2024
Analyzing Chain-of-thought Prompting in Black-Box Large Language Models via Estimated V-information COLING 2024
CrossTune: Black-Box Few-Shot Classification with Label Enhancement COLING 2024
DPIC: Decoupling Prompt and Intrinsic Characteristics for LLM Generated Text Detection NIPS 2024
Consistency and Uncertainty: Identifying Unreliable Responses From Black-Box Vision-Language Models for Selective Visual Question Answering CVPR 2024
Interpreting Unsupervised Anomaly Detection in Security via Rule Extraction NIPS 2023
Learning to Learn from APIs: Black-Box Data-Free Meta-Learning ICML 2023
PRCA: Fitting Black-Box Large Language Models for Retrieval Question Answering via Pluggable Reward-Driven Contextual Adapter EMNLP 2023
PromptBoosting: Black-Box Text Classification with Ten Forward Passes ICML 2023
Auxiliary Task-Guided CycleGAN for Black-Box Model Domain Adaptation WACV 2023
BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning CVPR 2023
SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models EMNLP 2023
CombLM: Adapting Black-Box Language Models through Small Fine-Tuned Models EMNLP 2023
The Parameterized Complexity of Finding Concise Local Explanations IJCAI 2023
Model Shapley: Equitable Model Valuation with Black-box Access NIPS 2023
Training Meta-Surrogate Model for Transferable Adversarial Attack AAAI 2023
Adversarial Eigen Attack on Black-Box Models CVPR 2022
Framework for Evaluating Faithfulness of Local Explanations ICML 2022
Label-Free Explainability for Unsupervised Models ICML 2022