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In-Context Learning

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TitleStatusHype
Improving Few-Shot Performance of Language Models via Nearest Neighbor Calibration—0
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 Modeling—0
Operationalizing Specifications, In Addition to Test Sets for Evaluating Constrained Generative Models—0
On the Compositional Generalization Gap of In-Context Learning—0
Teaching Algorithmic Reasoning via In-context Learning—0
Prompting Language Models for Linguistic Structure—0
Two-stage LLM Fine-tuning with Less Specialization and More Generalization—0
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 Models—0
Explanations from Large Language Models Make Small Reasoners Better—0
Transformers generalize differently from information stored in context vs in weights—0
Few-Shot Anaphora Resolution in Scientific Protocols via Mixtures of In-Context ExpertsCode0
Large Language Models can Implement Policy Iteration—0
Honest Students from Untrusted Teachers: Learning an Interpretable Question-Answering Pipeline from a Pretrained Language Model—0
ThinkSum: Probabilistic reasoning over sets using large language models—0
WinoDict: Probing language models for in-context word acquisition—0
In-context Learning and Induction Heads—0
On the Relation between Sensitivity and Accuracy in In-context LearningCode0
Revisiting the Practical Effectiveness of Constituency Parse Extraction from Pre-trained Language Models—0
Exploring Length Generalization in Large Language Models—0
Rationale-Augmented Ensembles in Language Models—0
Self-Generated In-Context Learning: Leveraging Auto-regressive Language Models as a Demonstration Generator—0
Language Models are General-Purpose Interfaces—0
Automatic Short Math Answer Grading via In-context Meta-learningCode0
Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations—0
Evaluating the Impact of Model Scale for Compositional Generalization in Semantic Parsing—0
Prototypical Calibration for Few-shot Learning of Language ModelsCode0
What Makes Good In-Context Examples for GPT-3?—0
Exploiting Language Model Prompts Using Similarity Measures: A Case Study on the Word-in-Context Task—0
On the Effect of Pretraining Corpora on In-context Learning by a Large-scale Language Model—0
Super-Prompting: Utilizing Model-Independent Contextual Data to Reduce Data Annotation Required in Visual Commonsense Tasks—0
Can language models learn from explanations in context?—0
Leveraging pre-trained language models for conversational information seeking from text—0
Efficient Language Modeling with Sparse all-MLP—0
Semantic-Oriented Unlabeled Priming for Large-Scale Language Models—0
Exploring Example Selection for Few-shot Text-to-SQL Semantic Parsing—0
Learning To Retrieve Prompts for In-Context Learning—0
MetaICL: Learning to Learn In Context—0
GLaM: Efficient Scaling of Language Models with Mixture-of-Experts—0
Semantic-Oriented Unlabeled Priming for Large-Scale Language Models—0
Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER—0
Meta-learning via Language Model In-context Tuning—0
It's my Job to be Repetitive! My Job! My Job! -- Linking Repetitions to In-Context Learning in Language Models—0
The Inductive Bias of In-Context Learning: Rethinking Pretraining Example Design—0
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