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

MAJIC: Markovian Adaptive Jailbreaking via Iterative Composition of Diverse Innovative Strategies AAAI 2026
Test-time Backdoor Mitigation for Black-Box Large Language Models with Defensive Demonstrations NAACL 2025
Unlocking the Potential of Black-box Pre-trained GNNs for Graph Few-shot Learning AAAI 2025
Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI CVPR 2025
Self-Instructed Derived Prompt Generation Meets In-Context Learning: Unlocking New Potential of Black-Box LLMs ACL 2025
ADU: Adaptive Detection of Unknown Categories in Black-Box Domain Adaptation CVPR 2025
Black-Box Test-Time Prompt Tuning for Vision-Language Models AAAI 2025
Rethinking LLM Uncertainty: A Multi-Agent Approach to Estimating Black-Box Model Uncertainty EMNLP 2025
Semantic Contribution-Aware Adaptive Retrieval for Black-Box Models EMNLP 2025
Efficient and Rigorous Model-Agnostic Explanations IJCAI 2025
Statistical inference on black-box generative models in the data kernel perspective space ACL 2025
How to Make LLMs Forget: On Reversing In-Context Knowledge Edits NAACL 2025
Gradient-Based Sample Selection for Black-Box Universal Domain Adaptation AAAI 2025
CBP-Tuning: Efficient Local Customization for Black-box Large Language Models EMNLP 2025
Faithful Model Explanations through Energy-Constrained Conformal Counterfactuals AAAI 2024
CrossTune: Black-Box Few-Shot Classification with Label Enhancement COLING 2024
Dissect Black Box: Interpreting for Rule-Based Explanations in Unsupervised Anomaly Detection NIPS 2024
Analyzing Chain-of-thought Prompting in Black-Box Large Language Models via Estimated V-information COLING 2024
Calibrating Large Language Models Using Their Generations Only 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
Temporal Logic Explanations for Dynamic Decision Systems Using Anchors and Monte Carlo Tree Search (Abstract Reprint) AAAI 2024
Fundamental Limits of Prompt Compression: A Rate-Distortion Framework for Black-Box Language Models NIPS 2024
Promoting Counterfactual Robustness through Diversity AAAI 2024
A Separation and Alignment Framework for Black-Box Domain Adaptation AAAI 2024