Research
A paper is listed when one of its authors is affiliated with the lab. Data: OpenAlex.
YANS 2025Sakana AI · Journal of Natural Language ProcessingJan 1, 2025Differentially Private Relational Learning with Entity-level Privacy GuaranteesAlphabet · neural information processing systemsJan 1, 2025CAT: Circular-Convolutional Attention for Sub-Quadratic TransformersPreferred Networks · neural information processing systemsJan 1, 2025Guessing Efficiently for Constrained Subspace ApproximationMicrosoft · arXiv (Cornell University)Jan 1, 2025TAPAS: Datasets for Learning the Learning with Errors ProblemMeta · neural information processing systemsJan 1, 2025Corrector Sampling in Language ModelsMeta · neural information processing systemsJan 1, 2025Feasible contact tracingMicrosoft · SSRN Electronic JournalJan 1, 2025Isotropic Noise in Stochastic and Quantum Convex OptimizationAlphabet, Google DeepMind · neural information processing systemsJan 1, 2025Harnessing Memory Technology Innovations for On-Device Large Language Models in Augmented Reality SoCs: Cooptimizing system architecture with model characteristicsMeta · IEEE Solid-State Circuits MagazineJan 1, 2025Unmasking Puppeteers: Leveraging Biometric Leakage to Expose Impersonation in AI-Based VideoconferencingNVIDIA · neural information processing systemsJan 1, 2025Exploration from a Primal-Dual Lens: Value-Incentivized Actor-Critic Methods for Sample-Efficient Online RLAlphabet, Google DeepMind, Meta · neural information processing systemsJan 1, 2025Reconstruction and Secrecy under Approximate Distance QueriesAlphabet · neural information processing systemsJan 1, 2025CurLL: A Developmental Framework to Evaluate Continual Learning in Language ModelsMicrosoft · BabyLM WorkshopJan 1, 2025BullyBench: Youth & Experts-in-the-loop Framework for Intrinsic and Extrinsic Cyberbullying NLP BenchmarkingAlphabet · Conference on Empirical Methods in Natural Language Processing (EMNLP)Jan 1, 2025Group Preference Alignment: Customizing LLM Responses from In-Situ Conversations Only When NeededMicrosoft · Conference on Empirical Methods in Natural Language Processing (EMNLP)Jan 1, 2025STACKFEED: Structured Textual Actor-Critic Knowledge base editing with FEEDbackMicrosoft · Conference on Empirical Methods in Natural Language Processing (EMNLP)Jan 1, 2025FQ-Eval: Building Evaluation Dataset for User-centered Follow-up Question GenerationLG AI Research · Conference on Empirical Methods in Natural Language Processing (EMNLP)Jan 1, 2025How to Fine-Tune Safely on a Budget: Model Adaptation Using Minimal ResourcesMicrosoft · Conference on Empirical Methods in Natural Language Processing (EMNLP)Jan 1, 2025Advancing E-commerce Merchants Telemarketing with Synthetic Data-Driven LLMsAlibaba · Conference on Empirical Methods in Natural Language Processing (EMNLP)Jan 1, 2025Does Acceleration Cause Hidden Instability in Vision Language Models? Uncovering Instance-Level Divergence Through a Large-Scale Empirical StudyMicrosoft · Conference on Empirical Methods in Natural Language Processing (EMNLP)Jan 1, 2025SEAL: Structure and Element Aware Learning Improves Long Structured Document RetrievalAlibaba · Conference on Empirical Methods in Natural Language Processing (EMNLP)Jan 1, 2025Layered Insights: Generalizable Analysis of Human Authorial Style by Leveraging All Transformer LayersMicrosoft · Conference on Empirical Methods in Natural Language Processing (EMNLP)Jan 1, 2025DecoupleSearch: Decouple Planning and Search via Hierarchical Reward ModelingAlibaba · Conference on Empirical Methods in Natural Language Processing (EMNLP)Jan 1, 2025Scalable Data Synthesis through Human-like Cognitive Imitation and Data RecombinationiFlytek · Conference on Empirical Methods in Natural Language Processing (EMNLP)Jan 1, 2025Alignment with Fill-In-the-Middle for Enhancing Code GenerationSenseTime · Conference on Empirical Methods in Natural Language Processing (EMNLP)Jan 1, 2025