Showing 1–20 of 32 results
/ Date/ Name
May 20, 2023Can Public Large Language Models Help Private Cross-device Federated Learning?Oct 11, 2023InstructRetro: Instruction Tuning post Retrieval-Augmented PretrainingApr 7, 2020Towards Evaluating the Robustness of Chinese BERT ClassifiersOct 5, 2020InfoBERT: Improving Robustness of Language Models from An Information Theoretic PerspectiveDec 22, 2019T3: Tree-Autoencoder Constrained Adversarial Text Generation for Targeted AttackNov 4, 2021Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language ModelsMar 20, 2021DataLens: Scalable Privacy Preserving Training via Gradient Compression and AggregationJun 20, 2023DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT ModelsFeb 9, 2020Reinforcement-Learning based Portfolio Management with Augmented Asset Movement Prediction StatesFeb 8, 2022Exploring the Limits of Domain-Adaptive Training for Detoxifying Large-Scale Language ModelsAug 22, 2019Efficient Task-Specific Data Valuation for Nearest Neighbor AlgorithmsJul 21, 2022FOCUS: Fairness via Agent-Awareness for Federated Learning on Heterogeneous DataMar 19, 2026Nemotron-Cascade 2: Post-Training LLMs with Cascade RL and Multi-Domain On-Policy DistillationFeb 28, 2020Improving Certified Robustness via Statistical Learning with Logical ReasoningJun 25, 2020Uncovering the Connections Between Adversarial Transferability and Knowledge TransferabilityApr 13, 2023Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive StudyNov 7, 2023Identifying and Mitigating Vulnerabilities in LLM-Integrated ApplicationsJul 2, 2024RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMsApr 8, 2025From 128K to 4M: Efficient Training of Ultra-Long Context Large Language ModelsFeb 3, 2022Certifying Out-of-Domain Generalization for Blackbox Functions