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In-Context Learning

Papers

Showing 22012250 of 2297 papers

TitleStatusHype
HINT: Hypernetwork Instruction Tuning for Efficient Zero- & Few-Shot Generalisation0
Dialog2API: Task-Oriented Dialogue with API Description and Example Programs0
Self-Adaptive In-Context Learning: An Information Compression Perspective for In-Context Example Selection and OrderingCode1
Training Trajectories of Language Models Across ScalesCode1
Z-ICL: Zero-Shot In-Context Learning with Pseudo-DemonstrationsCode1
Don't Generate, Discriminate: A Proposal for Grounding Language Models to Real-World EnvironmentsCode1
Language model acceptability judgements are not always robust to context0
Low-Resource Authorship Style Transfer: Can Non-Famous Authors Be Imitated?0
Rethinking the Role of Scale for In-Context Learning: An Interpretability-based Case Study at 66 Billion ScaleCode1
Foundation models in brief: A historical, socio-technical focus0
Evaluating Step-by-Step Reasoning through Symbolic VerificationCode0
Self-Prompting Large Language Models for Zero-Shot Open-Domain QACode1
Transformers learn in-context by gradient descentCode2
Diverse Demonstrations Improve In-context Compositional GeneralizationCode1
Structured Prompting: Scaling In-Context Learning to 1,000 Examples0
General-Purpose In-Context Learning by Meta-Learning TransformersCode0
Images Speak in Images: A Generalist Painter for In-Context Visual LearningCode4
In-context Examples Selection for Machine TranslationCode0
Improving Few-Shot Performance of Language Models via Nearest Neighbor Calibration0
Can In-context Learners Learn a Reasoning Concept from Demonstrations?Code0
What learning algorithm is in-context learning? Investigations with linear modelsCode0
Complementary Explanations for Effective In-Context LearningCode0
Retrieval-Augmented Multimodal Language Modeling0
Operationalizing Specifications, In Addition to Test Sets for Evaluating Constrained Generative Models0
Visual Programming: Compositional visual reasoning without trainingCode2
Prompting Language Models for Linguistic Structure0
Teaching Algorithmic Reasoning via In-context Learning0
On the Compositional Generalization Gap of In-Context Learning0
Large Language Models Meet Harry Potter: A Bilingual Dataset for Aligning Dialogue Agents with CharactersCode1
Active Example Selection for In-Context LearningCode1
Large Language Models Are Human-Level Prompt EngineersCode3
Two-stage LLM Fine-tuning with Less Specialization and More Generalization0
XRICL: Cross-lingual Retrieval-Augmented In-Context Learning for Cross-lingual Text-to-SQL Semantic ParsingCode0
Exploring The Landscape of Distributional Robustness for Question Answering Models0
Large Language Models are few(1)-shot Table ReasonersCode1
Explanations from Large Language Models Make Small Reasoners Better0
Transformers generalize differently from information stored in context vs in weights0
Controllable Dialogue Simulation with In-Context LearningCode1
Large Language Models can Implement Policy Iteration0
Few-Shot Anaphora Resolution in Scientific Protocols via Mixtures of In-Context ExpertsCode0
Honest Students from Untrusted Teachers: Learning an Interpretable Question-Answering Pipeline from a Pretrained Language Model0
ThinkSum: Probabilistic reasoning over sets using large language models0
Does GPT-3 Generate Empathetic Dialogues? A Novel In-Context Example Selection Method and Automatic Evaluation Metric for Empathetic Dialogue GenerationCode1
FusionRetro: Molecule Representation Fusion via In-Context Learning for Retrosynthetic PlanningCode1
WinoDict: Probing language models for in-context word acquisition0
In-context Learning and Induction Heads0
On the Relation between Sensitivity and Accuracy in In-context LearningCode0
Revisiting the Practical Effectiveness of Constituency Parse Extraction from Pre-trained Language Models0
Selective Annotation Makes Language Models Better Few-Shot LearnersCode1
What Can Transformers Learn In-Context? A Case Study of Simple Function ClassesCode2
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