Showing 1–18 of 18 results
/ Date/ Name
Sep 24, 2021SAIS: Supervising and Augmenting Intermediate Steps for Document-Level Relation ExtractionOct 7, 2024SFTMix: Elevating Language Model Instruction Tuning with Mixup RecipeOct 10, 2022Uncertainty Quantification with Pre-trained Language Models: A Large-Scale Empirical AnalysisMay 16, 2025Bilevel Transmission Expansion Planning with Joint Chance-Constrained DispatchJun 9, 2025KScope: A Framework for Characterizing the Knowledge Status of Language ModelsFeb 6, 2025Speak Easy: Eliciting Harmful Jailbreaks from LLMs with Simple InteractionsJun 9, 2025When Style Breaks Safety: Defending LLMs Against Superficial Style AlignmentMay 18, 2023In the Name of Fairness: Assessing the Bias in Clinical Record De-identificationFeb 19, 2025Scalable Multi-Level Optimization for Sequentially Cleared Energy Markets with a Case Study on Gas and Carbon Aware Unit CommitmentJun 17, 2021Amortized Auto-Tuning: Cost-Efficient Bayesian Transfer Optimization for Hyperparameter RecommendationApr 1, 2020Heterogeneous Network Representation Learning: A Unified Framework with Survey and BenchmarkNov 4, 2024Enhancing Multiple Dimensions of Trustworthiness in LLMs via Sparse Activation ControlJan 7, 2024An Incentive Regulation Approach for Balancing Stakeholder Interests in Transmission InvestmentMar 7, 2020Discovering Strategic Behaviors for Collaborative Content-Production in Social NetworksMay 20, 2025MedBrowseComp: Benchmarking Medical Deep Research and Computer UseJan 19, 2026Stochastic Gradient Descent for Nonlinear Inverse Problems in Banach SpacesDec 17, 2024Strengthened and Faster Linear Approximation to Joint Chance Constraints with Wasserstein AmbiguityFeb 8, 2024Visual Harmony: Text-Visual Interplay in Circular Infographics