Showing 1–19 of 19 results
/ Date/ Name
Jan 27, 2026ProToken: Token-Level Attribution for Federated Large Language ModelsJan 9, 2023FedDebug: Systematic Debugging for Federated Learning ApplicationsMar 8, 2021Efficient Fuzz Testing for Apache Spark Using Framework AbstractionMay 10, 2022Sibylvariant Transformations for Robust Text ClassificationMar 5, 2024MeanCache: User-Centric Semantic Caching for LLM Web ServicesDec 21, 2023TraceFL: Interpretability-Driven Debugging in Federated Learning via Neuron ProvenanceApr 6, 2025Assessing the Impact of Code Changes on the Fault Localizability of Large Language ModelsSep 27, 2024Accessibility Issues in Ad-Driven Web ApplicationsApr 3, 2025Advancing Semantic Caching for LLMs with Domain-Specific Embeddings and Synthetic DataFeb 6, 2025Are the Majority of Public Computational Notebooks Pathologically Non-Executable?Mar 19, 2026TENSURE: Fuzzing Sparse Tensor Compilers (Registered Report)Mar 24, 2026Evaluating LLM-Based Test Generation Under Software EvolutionAug 28, 2021TrackerSift: Untangling Mixed Tracking and Functional Web ResourcesMay 28, 2024Blocking Tracking JavaScript at the Function GranularityJun 24, 2025PALM: Path-aware LLM-based Test Generation with ComprehensionApr 6, 2026Assessing Large Language Models for Stabilizing Numerical Expressions in Scientific SoftwareFeb 2, 2023Blocking JavaScript without Breaking the Web: An Empirical InvestigationJul 2, 2023FedDefender: Backdoor Attack Defense in Federated LearningApr 29, 2024Human-in-the-Loop Synthetic Text Data Inspection with Provenance Tracking