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In-Context Learning

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Showing 151–200 of 2297 papers

TitleStatusHype
Scaling Context, Not Parameters: Training a Compact 7B Language Model for Efficient Long-Context Processing—0
NurValues: Real-World Nursing Values Evaluation for Large Language Models in Clinical Context—0
Spoken Language Understanding on Unseen Tasks With In-Context Learning—0
Incomplete In-context Learning—0
Measuring General Intelligence with Generated GamesCode1
Probing In-Context Learning: Impact of Task Complexity and Model Architecture on Generalization and EfficiencyCode0
Prompting Large Language Models for Training-Free Non-Intrusive Load Monitoring—0
Turbo-ICL: In-Context Learning-Based Turbo Equalization—0
Harnessing LLMs Explanations to Boost Surrogate Models in Tabular Data Classification—0
In-Context Learning for Label-Efficient Cancer Image Classification in Oncology—0
RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection—0
The Pitfalls of Growing Group Complexity: LLMs and Social Choice-Based Aggregation for Group Recommendations—0
Leveraging Large Language Models for enzymatic reaction prediction and characterizationCode0
Rethinking Invariance in In-context LearningCode0
EAM: Enhancing Anything with Diffusion Transformers for Blind Super-Resolution—0
Understanding In-context Learning of Addition via Activation Subspaces—0
CDE-Mapper: Using Retrieval-Augmented Language Models for Linking Clinical Data Elements to Controlled Vocabularies—0
PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation—0
Scientific Hypothesis Generation and Validation: Methods, Datasets, and Future Directions—0
Frog Soup: Zero-Shot, In-Context, and Sample-Efficient Frogger AgentsCode0
Bye-bye, Bluebook? Automating Legal Procedure with Large Language Models—0
What do Language Model Probabilities Represent? From Distribution Estimation to Response Prediction—0
GraphPrompter: Multi-stage Adaptive Prompt Optimization for Graph In-Context LearningCode0
Retrieval-augmented in-context learning for multimodal large language models in disease classification—0
Exploring the Role of Diversity in Example Selection for In-Context LearningCode0
Vision and Intention Boost Large Language Model in Long-Term Action Anticipation—0
BOOM: Benchmarking Out-Of-distribution Molecular Property Predictions of Machine Learning Models—0
New News: System-2 Fine-tuning for Robust Integration of New Knowledge—0
MateICL: Mitigating Attention Dispersion in Large-Scale In-Context LearningCode0
TutorGym: A Testbed for Evaluating AI Agents as Tutors and StudentsCode0
On the generalization of language models from in-context learning and finetuning: a controlled study—0
COSMOS: Predictable and Cost-Effective Adaptation of LLMs—0
In a Few Words: Comparing Weak Supervision and LLMs for Short Query Intent Classification—0
AdaptMI: Adaptive Skill-based In-context Math Instruction for Small Language Models—0
LLM-Empowered Embodied Agent for Memory-Augmented Task Planning in Household RoboticsCode1
Embracing Collaboration Over Competition: Condensing Multiple Prompts for Visual In-Context LearningCode1
AlignDiT: Multimodal Aligned Diffusion Transformer for Synchronized Speech Generation—0
On the Potential of Large Language Models to Solve Semantics-Aware Process Mining Tasks—0
Efficient Domain-adaptive Continual Pretraining for the Process Industry in the German Language—0
Test It Before You Trust It: Applying Software Testing for Trustworthy In-context LearningCode0
E-InMeMo: Enhanced Prompting for Visual In-Context LearningCode1
Does Knowledge Distillation Matter for Large Language Model based Bundle Generation?—0
In-Context Learning can distort the relationship between sequence likelihoods and biological fitness—0
From predictions to confidence intervals: an empirical study of conformal prediction methods for in-context learning—0
Investigating LLMs in Clinical Triage: Promising Capabilities, Persistent Intersectional Biases—0
How Private is Your Attention? Bridging Privacy with In-Context Learning—0
LLMs as Data Annotators: How Close Are We to Human Performance—0
Automated Measurement of Eczema Severity with Self-Supervised Learning—0
LLM-Enabled In-Context Learning for Data Collection Scheduling in UAV-assisted Sensor Networks—0
Hydra: An Agentic Reasoning Approach for Enhancing Adversarial Robustness and Mitigating Hallucinations in Vision-Language Models—0
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