SOTAVerified

In-Context Learning

Papers

Showing 12511275 of 2297 papers

TitleStatusHype
GReaTER: Generate Realistic Tabular data after data Enhancement and Reduction0
GrounDial: Human-norm Grounded Safe Dialog Response Generation0
Grounding-Prompter: Prompting LLM with Multimodal Information for Temporal Sentence Grounding in Long Videos0
Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations0
Guideline Learning for In-context Information Extraction0
Hacia la interpretabilidad de la detección anticipada de riesgos de depresión utilizando grandes modelos de lenguaje0
Harnessing LLMs Explanations to Boost Surrogate Models in Tabular Data Classification0
Harnessing the Intrinsic Knowledge of Pretrained Language Models for Challenging Text Classification Settings0
Retrieval-Augmented Hierarchical in-Context Reinforcement Learning and Hindsight Modular Reflections for Task Planning with LLMs0
Hijacking Context in Large Multi-modal Models0
Hint-enhanced In-Context Learning wakes Large Language Models up for knowledge-intensive tasks0
HINT: Hypernetwork Instruction Tuning for Efficient Zero- & Few-Shot Generalisation0
HiPPO-Prophecy: State-Space Models can Provably Learn Dynamical Systems in Context0
Honest Students from Untrusted Teachers: Learning an Interpretable Question-Answering Pipeline from a Pretrained Language Model0
Hot PATE: Private Aggregation of Distributions for Diverse Task0
How Aligned are Generative Models to Humans in High-Stakes Decision-Making?0
How Does In-Context Learning Help Prompt Tuning?0
Breaking through the learning plateaus of in-context learning in Transformer0
How Do In-Context Examples Affect Compositional Generalization?0
How Do Transformers Learn In-Context Beyond Simple Functions? A Case Study on Learning with Representations0
How Far Can In-Context Alignment Go? Exploring the State of In-Context Alignment0
How Good are Commercial Large Language Models on African Languages?0
How good are Large Language Models on African Languages?0
From Unstructured Data to In-Context Learning: Exploring What Tasks Can Be Learned and When0
How Many Pretraining Tasks Are Needed for In-Context Learning of Linear Regression?0
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