Showing 1–20 of 32 results
/ Date/ Name
Oct 18, 2021Towards General Deep Leakage in Federated LearningNov 14, 2023A Survey of Confidence Estimation and Calibration in Large Language ModelsJan 24, 2025Internal Activation Revision: Safeguarding Vision Language Models Without Parameter UpdateApr 17, 2026CodeMMR: Bridging Natural Language, Code, and Image for Unified RetrievalFeb 22, 2025A Comprehensive Survey of Machine Unlearning Techniques for Large Language ModelsMay 30, 2025HD-NDEs: Neural Differential Equations for Hallucination Detection in LLMsMay 31, 2025Con Instruction: Universal Jailbreaking of Multimodal Large Language Models via Non-Textual ModalitiesMay 26, 2025VSCBench: Bridging the Gap in Vision-Language Model Safety CalibrationMay 31, 2025CoQuIR: A Comprehensive Benchmark for Code Quality-Aware Information RetrievalMar 16, 2025SAUCE: Selective Concept Unlearning in Vision-Language Models with Sparse AutoencodersMar 6, 2024Multimodal Large Language Models to Support Real-World Fact-CheckingJan 19, 2025GenAI Content Detection Task 1: English and Multilingual Machine-Generated Text Detection: AI vs. HumanAug 6, 2024OpenFactCheck: A Unified Framework for Factuality Evaluation of LLMsOct 27, 2025M4FC: a Multimodal, Multilingual, Multicultural, Multitask Real-World Fact-Checking DatasetJan 20, 2026LongSpeech: A Scalable Benchmark for Transcription, Translation and Understanding in Long SpeechAug 8, 2024LLM-DetectAIve: a Tool for Fine-Grained Machine-Generated Text DetectionNov 15, 2023Factcheck-Bench: Fine-Grained Evaluation Benchmark for Automatic Fact-checkersJan 16, 2026Spurious Rewards Paradox: Mechanistically Understanding How RLVR Activates Memorization Shortcuts in LLMsMay 3, 2023A Survey on Dataset Distillation: Approaches, Applications and Future DirectionsMay 18, 2021DID-eFed: Facilitating Federated Learning as a Service with Decentralized Identities