conftrace_

perturbation analysis

52 papers

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Co-occurring keywords

adversarial robustness (1341) model robustness (480) evaluation metric (573) large language model (13587) adversarial attack (1621) neural network (6616) sensitivity analysis (80) generalization bound (652) deep neural network (1803) language model (4599)

Papers

An Automatic Method to Estimate Correctness of RAG COLING 2025
Rating AI Models for Robustness Through a Causal Lens IJCAI 2025
Assessing the Sensitivity and Alignment of FOL Closeness Metrics EMNLP 2025
IndicSentEval: How Effectively do Multilingual Transformer Models encode Linguistic Properties for Indic Languages? IJCNLP 2025
An Approach to Quantify Plans Robustness in Real-world Applications IJCAI 2025
On Measuring Context Utilization in Document-Level MT Systems EACL 2024
What Makes Quantization for Large Language Model Hard? An Empirical Study from the Lens of Perturbation AAAI 2024
When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model Leaderboards ACL 2024
Tweak to Trust: Assessing the Reliability of Summarization Metrics in Contact Centers via Perturbed Summaries NAACL 2024
Benchmark Generation Framework With Customizable Distortions for Image Classifier Robustness WACV 2024
RoDLA: Benchmarking the Robustness of Document Layout Analysis Models CVPR 2024
Length independent PAC-Bayes bounds for Simple RNNs AISTATS 2024
APPLS: Evaluating Evaluation Metrics for Plain Language Summarization EMNLP 2024
Evaluating Readability and Faithfulness of Concept-based Explanations EMNLP 2024
Reward Certification for Policy Smoothed Reinforcement Learning AAAI 2024
PerturbScore: Connecting Discrete and Continuous Perturbations in NLP EMNLP 2023
Noisy Exemplars Make Large Language Models More Robust: A Domain-Agnostic Behavioral Analysis EMNLP 2023
Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score ICML 2023
DeltaScore: Fine-Grained Story Evaluation with Perturbations EMNLP 2023
How Many Perturbations Break This Model? Evaluating Robustness Beyond Adversarial Accuracy ICML 2023
Perturbation Analysis of Neural Collapse ICML 2023
Use perturbations when learning from explanations NIPS 2023
The Best Defense Is a Good Offense: Adversarial Augmentation Against Adversarial Attacks CVPR 2023
On the Effectiveness of Iterative Learning Control L4DC 2022
Bounded-Regret MPC via Perturbation Analysis: Prediction Error, Constraints, and Nonlinearity NIPS 2022