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| Narrowing the Gap between Zero- and Few-shot Machine Translation by Matching Styles | Nov 4, 2023 | In-Context LearningMachine Translation | —Unverified | 0 |
| Navigating the Dual Facets: A Comprehensive Evaluation of Sequential Memory Editing in Large Language Models | Feb 16, 2024 | In-Context LearningLanguage Modeling | —Unverified | 0 |
| Navigating the Labyrinth: Evaluating and Enhancing LLMs' Ability to Reason About Search Problems | Jun 18, 2024 | In-Context LearningMath | —Unverified | 0 |
| Neither Stochastic Parroting nor AGI: LLMs Solve Tasks through Context-Directed Extrapolation from Training Data Priors | May 29, 2025 | In-Context Learning | —Unverified | 0 |
| Neural Machine Translation Models Can Learn to be Few-shot Learners | Sep 15, 2023 | Domain AdaptationIn-Context Learning | —Unverified | 0 |
| Neural Network Reprogrammability: A Unified Theme on Model Reprogramming, Prompt Tuning, and Prompt Instruction | Jun 5, 2025 | In-Context Learning | —Unverified | 0 |
| Neuromorphic In-Context Learning for Energy-Efficient MIMO Symbol Detection | Apr 9, 2024 | In-Context Learning | —Unverified | 0 |
| Leveraging Large Language Models to Develop Heuristics for Emerging Optimization Problems | Mar 5, 2025 | Combinatorial OptimizationIn-Context Learning | CodeCode Available | 0 |
| Leveraging Large Language Models for Scalable Vector Graphics-Driven Image Understanding | Jun 9, 2023 | Few-Shot Learningimage-classification | CodeCode Available | 0 |
