| Exploring Effective Factors for Improving Visual In-Context Learning | Apr 10, 2023 | In-Context LearningMeta-Learning | CodeCode Available | 1 |
| kNN Prompting: Beyond-Context Learning with Calibration-Free Nearest Neighbor Inference | Mar 24, 2023 | In-Context Learning | CodeCode Available | 1 |
| Towards Making the Most of ChatGPT for Machine Translation | Mar 24, 2023 | In-Context LearningMachine Translation | CodeCode Available | 1 |
| DeID-GPT: Zero-shot Medical Text De-Identification by GPT-4 | Mar 20, 2023 | BenchmarkingDe-identification | CodeCode Available | 1 |
| eP-ALM: Efficient Perceptual Augmentation of Language Models | Mar 20, 2023 | In-Context LearningVisual Question Answering (VQA) | CodeCode Available | 1 |
| ICL-D3IE: In-Context Learning with Diverse Demonstrations Updating for Document Information Extraction | Mar 9, 2023 | Document AIIn-Context Learning | CodeCode Available | 1 |
| ProofNet: Autoformalizing and Formally Proving Undergraduate-Level Mathematics | Feb 24, 2023 | Abstract AlgebraAutomated Theorem Proving | CodeCode Available | 1 |
| In-context Example Selection with Influences | Feb 21, 2023 | In-Context Learning | CodeCode Available | 1 |
| Compositional Exemplars for In-context Learning | Feb 11, 2023 | Code GenerationContrastive Learning | CodeCode Available | 1 |
| In-Context Learning with Many Demonstration Examples | Feb 9, 2023 | 16k8k | CodeCode Available | 1 |
| What Makes Good Examples for Visual In-Context Learning? | Jan 31, 2023 | In-Context LearningRetrieval | CodeCode Available | 1 |
| Adaptive Machine Translation with Large Language Models | Jan 30, 2023 | DecoderDomain Adaptation | CodeCode Available | 1 |
| Large Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context Learning | Jan 27, 2023 | Few-Shot LearningGSM8K | CodeCode Available | 1 |
| Batch Prompting: Efficient Inference with Large Language Model APIs | Jan 19, 2023 | Arithmetic ReasoningIn-Context Learning | CodeCode Available | 1 |
| Parallel Context Windows for Large Language Models | Dec 21, 2022 | In-Context LearningPlaying the Game of 2048 | CodeCode Available | 1 |
| Self-Adaptive In-Context Learning: An Information Compression Perspective for In-Context Example Selection and Ordering | Dec 20, 2022 | In-Context Learning | CodeCode Available | 1 |
| Data Curation Alone Can Stabilize In-context Learning | Dec 20, 2022 | DiversityIn-Context Learning | CodeCode Available | 1 |
| Training Trajectories of Language Models Across Scales | Dec 19, 2022 | In-Context LearningMultiple-choice | CodeCode Available | 1 |
| Z-ICL: Zero-Shot In-Context Learning with Pseudo-Demonstrations | Dec 19, 2022 | Few-Shot LearningIn-Context Learning | CodeCode Available | 1 |
| Don't Generate, Discriminate: A Proposal for Grounding Language Models to Real-World Environments | Dec 19, 2022 | In-Context LearningKnowledge Base Question Answering | CodeCode Available | 1 |
| Rethinking the Role of Scale for In-Context Learning: An Interpretability-based Case Study at 66 Billion Scale | Dec 18, 2022 | In-Context LearningLanguage Modeling | CodeCode Available | 1 |
| Self-Prompting Large Language Models for Zero-Shot Open-Domain QA | Dec 16, 2022 | In-Context LearningOpen-Domain Question Answering | CodeCode Available | 1 |
| Diverse Demonstrations Improve In-context Compositional Generalization | Dec 13, 2022 | In-Context LearningSemantic Parsing | CodeCode Available | 1 |
| Large Language Models Meet Harry Potter: A Bilingual Dataset for Aligning Dialogue Agents with Characters | Nov 13, 2022 | Dialogue GenerationIn-Context Learning | CodeCode Available | 1 |
| Active Example Selection for In-Context Learning | Nov 8, 2022 | In-Context Learning | CodeCode Available | 1 |
| Large Language Models are few(1)-shot Table Reasoners | Oct 13, 2022 | Fact VerificationIn-Context Learning | CodeCode Available | 1 |
| Controllable Dialogue Simulation with In-Context Learning | Oct 9, 2022 | Data AugmentationIn-Context Learning | CodeCode Available | 1 |
| Does GPT-3 Generate Empathetic Dialogues? A Novel In-Context Example Selection Method and Automatic Evaluation Metric for Empathetic Dialogue Generation | Oct 1, 2022 | Dialogue GenerationIn-Context Learning | CodeCode Available | 1 |
| FusionRetro: Molecule Representation Fusion via In-Context Learning for Retrosynthetic Planning | Sep 30, 2022 | Drug DiscoveryIn-Context Learning | CodeCode Available | 1 |
| Selective Annotation Makes Language Models Better Few-Shot Learners | Sep 5, 2022 | Code GenerationIn-Context Learning | CodeCode Available | 1 |
| Can Foundation Models Help Us Achieve Perfect Secrecy? | May 27, 2022 | Federated LearningIn-Context Learning | CodeCode Available | 1 |
| Instruction Induction: From Few Examples to Natural Language Task Descriptions | May 22, 2022 | In-Context Learning | CodeCode Available | 1 |
| UL2: Unifying Language Learning Paradigms | May 10, 2022 | Arithmetic ReasoningCommon Sense Reasoning | CodeCode Available | 1 |
| The Unreliability of Explanations in Few-shot Prompting for Textual Reasoning | May 6, 2022 | In-Context LearningLanguage Modelling | CodeCode Available | 1 |
| Contrastive Learning for Prompt-Based Few-Shot Language Learners | May 3, 2022 | Contrastive LearningIn-Context Learning | CodeCode Available | 1 |
| Data Distributional Properties Drive Emergent In-Context Learning in Transformers | Apr 22, 2022 | Few-Shot LearningIn-Context Learning | CodeCode Available | 1 |
| Thinking about GPT-3 In-Context Learning for Biomedical IE? Think Again | Mar 16, 2022 | In-Context LearningModel Selection | CodeCode Available | 1 |
| In-Context Learning for Few-Shot Dialogue State Tracking | Mar 16, 2022 | Dialogue State TrackingFew-Shot Learning | CodeCode Available | 1 |
| Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? | Feb 25, 2022 | In-Context Learning | CodeCode Available | 1 |
| Transformers Can Do Bayesian Inference | Dec 20, 2021 | AutoMLBayesian Inference | CodeCode Available | 1 |
| Learning To Retrieve Prompts for In-Context Learning | Dec 16, 2021 | In-Context LearningLanguage Modeling | CodeCode Available | 1 |
| MAGMA -- Multimodal Augmentation of Generative Models through Adapter-based Finetuning | Dec 9, 2021 | In-Context LearningLanguage Modeling | CodeCode Available | 1 |
| An Explanation of In-context Learning as Implicit Bayesian Inference | Nov 3, 2021 | Few-Shot LearningIn-Context Learning | CodeCode Available | 1 |
| MetaICL: Learning to Learn In Context | Oct 29, 2021 | Few-Shot LearningIn-Context Learning | CodeCode Available | 1 |
| Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER | Oct 16, 2021 | Domain AdaptationFew-Shot Text Classification | CodeCode Available | 1 |
| Meta-learning via Language Model In-context Tuning | Oct 15, 2021 | In-Context LearningInductive Bias | CodeCode Available | 1 |
| LiST: Lite Prompted Self-training Makes Parameter-Efficient Few-shot Learners | Oct 12, 2021 | Few-Shot LearningIn-Context Learning | CodeCode Available | 1 |
| PanGu-α: Large-scale Autoregressive Pretrained Chinese Language Models with Auto-parallel Computation | Apr 26, 2021 | Cloze (multi-choices) (Few-Shot)Cloze (multi-choices) (One-Shot) | CodeCode Available | 1 |
| Enhancing Cross-task Transfer of Large Language Models via Activation Steering | Jul 17, 2025 | Cross-Lingual TransferIn-Context Learning | —Unverified | 0 |
| Assay2Mol: large language model-based drug design using BioAssay context | Jul 16, 2025 | DescriptiveDrug Design | CodeCode Available | 0 |
