Co-occurring keywords · papers mentioning both
Papers
Analyzing Chain-of-thought Prompting in Black-Box Large Language Models via Estimated V-information
COLING 2024
A Separation and Alignment Framework for Black-Box Domain Adaptation
AAAI 2024
Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable?
NeurIPS 2024
Black-Box Forgetting
NeurIPS 2024
Calibrating Large Language Models Using Their Generations Only
ACL 2024
Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs
ICLR 2024
CMACE: CMAES-based Counterfactual Explanations for Black-box Models
IJCAI 2024
Consistency and Uncertainty: Identifying Unreliable Responses From Black-Box Vision-Language Models for Selective Visual Question Answering
CVPR 2024
CrossTune: Black-Box Few-Shot Classification with Label Enhancement
COLING 2024
Data Contamination Calibration for Black-box LLMs
ACL 2024
Data Efficient Paradigms for Personalized Assessment of Black-Box Taskable AI Systems
AAAI 2024
Dissect Black Box: Interpreting for Rule-Based Explanations in Unsupervised Anomaly Detection
NeurIPS 2024
DORY: Deliberative Prompt Recovery for LLM
ACL 2024
DPIC: Decoupling Prompt and Intrinsic Characteristics for LLM Generated Text Detection
NeurIPS 2024
Faithful Model Explanations through Energy-Constrained Conformal Counterfactuals
AAAI 2024
Few-Shot Learning via Repurposing Ensemble of Black-Box Models
AAAI 2024
Fundamental Limits of Prompt Compression: A Rate-Distortion Framework for Black-Box Language Models
NeurIPS 2024
How to Catch an AI Liar: Lie Detection in Black-Box LLMs by Asking Unrelated Questions
ICLR 2024
HYDRA: Model Factorization Framework for Black-Box LLM Personalization
NeurIPS 2024
Learning Performance Maximizing Ensembles with Explainability Guarantees
AAAI 2024
Nearly Tight Black-Box Auditing of Differentially Private Machine Learning
NeurIPS 2024
Plug-in Language Model: Controlling Text Generation with a Simple Regression Model
NAACL 2024
Probabilistic Adaptation of Black-Box Text-to-Video Models
ICLR 2024
Promoting Counterfactual Robustness through Diversity
AAAI 2024
Selective Explanations
NeurIPS 2024