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In-Context Learning

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Showing 1751–1800 of 2297 papers

TitleStatusHype
PhaseEvo: Towards Unified In-Context Prompt Optimization for Large Language Models—0
Navigating the Dual Facets: A Comprehensive Evaluation of Sequential Memory Editing in Large Language Models—0
Measuring and Reducing LLM Hallucination without Gold-Standard Answers—0
LinkNER: Linking Local Named Entity Recognition Models to Large Language Models using UncertaintyCode0
Understanding In-Context Learning with a Pelican Soup Framework—0
Improving Demonstration Diversity by Human-Free Fusing for Text-to-SQLCode0
The Evolution of Statistical Induction Heads: In-Context Learning Markov Chains—0
Crafting a Good Prompt or Providing Exemplary Dialogues? A Study of In-Context Learning for Persona-based Dialogue Generation—0
Self-Augmented In-Context Learning for Unsupervised Word TranslationCode0
Chain-of-Planned-Behaviour Workflow Elicits Few-Shot Mobility Generation in LLMs—0
Prompt-Based Bias Calibration for Better Zero/Few-Shot Learning of Language Models—0
Bridging Associative Memory and Probabilistic Modeling—0
HGOT: Hierarchical Graph of Thoughts for Retrieval-Augmented In-Context Learning in Factuality EvaluationCode0
GrounDial: Human-norm Grounded Safe Dialog Response Generation—0
Large Language Model-Based Interpretable Machine Learning Control in Building Energy Systems—0
The dynamic interplay between in-context and in-weight learning in humans and neural networksCode0
Universal Link Predictor By In-Context Learning on Graphs—0
VisLingInstruct: Elevating Zero-Shot Learning in Multi-Modal Language Models with Autonomous Instruction OptimizationCode0
Text-centric Alignment for Multi-Modality Learning—0
Assessing Generalization for Subpopulation Representative Modeling via In-Context Learning—0
Step-On-Feet Tuning: Scaling Self-Alignment of LLMs via Bootstrapping—0
In-Context Data Distillation with TabPFN—0
On the Out-Of-Distribution Generalization of Multimodal Large Language Models—0
NICE: To Optimize In-Context Examples or Not?Code0
In-Context Learning Can Re-learn Forbidden Tasks—0
NoisyICL: A Little Noise in Model Parameters Calibrates In-context LearningCode0
In-Context Principle Learning from MistakesCode0
L4Q: Parameter Efficient Quantization-Aware Fine-Tuning on Large Language Models—0
InCoRo: In-Context Learning for Robotics Control with Feedback Loops—0
In-context learning agents are asymmetric belief updaters—0
Rethinking Skill Extraction in the Job Market Domain using Large Language ModelsCode0
Beyond the Black Box: A Statistical Model for LLM Reasoning and Inference—0
MULTI: Multimodal Understanding Leaderboard with Text and Images—0
Enhancing the Stability of LLM-based Speech Generation Systems through Self-Supervised Representations—0
Automatic Combination of Sample Selection Strategies for Few-Shot Learning—0
A Complete Survey on Contemporary Methods, Emerging Paradigms and Hybrid Approaches for Few-Shot Learning—0
Are Large Language Models Table-based Fact-Checkers?Code0
Solution-oriented Agent-based Models Generation with Verifier-assisted Iterative In-context Learning—0
The Developmental Landscape of In-Context Learning—0
SynthDST: Synthetic Data is All You Need for Few-Shot Dialog State TrackingCode0
A Survey to Recent Progress Towards Understanding In-Context Learning—0
Transformers Learn Nonlinear Features In Context: Nonconvex Mean-field Dynamics on the Attention Landscape—0
Retrieval Augmented End-to-End Spoken Dialog Models—0
In-Context Learning for Few-Shot Nested Named Entity Recognition—0
Can Large Language Models Understand Context?—0
Enhancing Ethical Explanations of Large Language Models through Iterative Symbolic RefinementCode0
Unlearnable Algorithms for In-context Learning—0
Theoretical Understanding of In-Context Learning in Shallow Transformers with Unstructured Data—0
COA-GPT: Generative Pre-trained Transformers for Accelerated Course of Action Development in Military Operations—0
Assertion Detection Large Language Model In-context Learning LoRA Fine-tuningCode0
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