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In-Context Learning

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Showing 701–750 of 2297 papers

TitleStatusHype
DeepOSets: Non-Autoregressive In-Context Learning of Supervised Learning Operators—0
Exploring the Role of Reasoning Structures for Constructing Proofs in Multi-Step Natural Language Reasoning with Large Language Models—0
StraGo: Harnessing Strategic Guidance for Prompt Optimization—0
On-Chip Learning via Transformer In-Context Learning—0
AppBench: Planning of Multiple APIs from Various APPs for Complex User InstructionCode1
Metalic: Meta-Learning In-Context with Protein Language ModelsCode1
Can Looped Transformers Learn to Implement Multi-step Gradient Descent for In-context Learning?—0
Generalization from Starvation: Hints of Universality in LLM Knowledge Graph Learning—0
Uncovering Overfitting in Large Language Model Editing—0
DemoShapley: Valuation of Demonstrations for In-Context Learning—0
Plug-and-Play Performance Estimation for LLM Services without Relying on Labeled DataCode0
Steering Large Language Models using Conceptors: Improving Addition-Based Activation EngineeringCode1
Is C4 Dataset Optimal for Pruning? An Investigation of Calibration Data for LLM PruningCode1
Generative Model for Less-Resourced Language with 1 billion parameters—0
Let's Ask GNN: Empowering Large Language Model for Graph In-Context Learning—0
MaD-Scientist: AI-based Scientist solving Convection-Diffusion-Reaction Equations Using Massive PINN-Based Prior Data—0
Tree of Problems: Improving structured problem solving with compositionalityCode1
Retrieval-Augmented Decision Transformer: External Memory for In-context RLCode1
Which Programming Language and What Features at Pre-training Stage Affect Downstream Logical Inference Performance?Code0
In-Context Code-Text Learning for Bimodal Software Engineering—0
Direct Preference Optimization for LLM-Enhanced Recommendation Systems—0
ConML: A Universal Meta-Learning Framework with Task-Level Contrastive Learning—0
Everything Everywhere All at Once: LLMs can In-Context Learn Multiple Tasks in Superposition—0
Vector-ICL: In-context Learning with Continuous Vector RepresentationsCode1
Are Large Language Models State-of-the-art Quality Estimators for Machine Translation of User-generated Content?Code0
The Mystery of Compositional Generalization in Graph-based Generative Commonsense ReasoningCode0
Bridging Modalities: Enhancing Cross-Modality Hate Speech Detection with Few-Shot In-Context Learning—0
Transformers learn variable-order Markov chains in-context—0
Task Diversity Shortens the ICL PlateauCode0
LLMs Are In-Context Bandit Reinforcement Learners—0
Differential TransformerCode2
Density estimation with LLMs: a geometric investigation of in-context learning trajectories—0
Deeper Insights Without Updates: The Power of In-Context Learning Over Fine-TuningCode0
A Simple Image Segmentation Framework via In-Context ExamplesCode2
Inference Scaling for Long-Context Retrieval Augmented Generation—0
GAMformer: In-Context Learning for Generalized Additive Models—0
Revisiting In-context Learning Inference Circuit in Large Language ModelsCode0
Multimodal Large Language Models for Inverse Molecular Design with Retrosynthetic PlanningCode1
PersonalSum: A User-Subjective Guided Personalized Summarization Dataset for Large Language ModelsCode0
Data-Efficient Massive Tool Retrieval: A Reinforcement Learning Approach for Query-Tool Alignment with Language Models—0
In-context Learning in Presence of Spurious CorrelationsCode0
On Unsupervised Prompt Learning for Classification with Black-box Language Models—0
Zebra: In-Context and Generative Pretraining for Solving Parametric PDEs—0
Generating bilingual example sentences with large language models as lexicography assistantsCode0
Enhanced Transformer architecture for in-context learning of dynamical systemsCode0
RIPPLECOT: Amplifying Ripple Effect of Knowledge Editing in Language Models via Chain-of-Thought In-Context LearningCode0
Training Nonlinear Transformers for Chain-of-Thought Inference: A Theoretical Generalization Analysis—0
ReLIC: A Recipe for 64k Steps of In-Context Reinforcement Learning for Embodied AICode1
GraphIC: A Graph-Based In-Context Example Retrieval Model for Multi-Step Reasoning—0
Simplicity bias and optimization threshold in two-layer ReLU networks—0
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