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In-Context Learning

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Showing 701–725 of 2297 papers

TitleStatusHype
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
GraphPrompter: Multi-stage Adaptive Prompt Optimization for Graph In-Context LearningCode0
What do Language Model Probabilities Represent? From Distribution Estimation to Response Prediction—0
Retrieval-augmented in-context learning for multimodal large language models in disease classification—0
BOOM: Benchmarking Out-Of-distribution Molecular Property Predictions of Machine Learning Models—0
Vision and Intention Boost Large Language Model in Long-Term Action Anticipation—0
Exploring the Role of Diversity in Example Selection for In-Context LearningCode0
New News: System-2 Fine-tuning for Robust Integration of New Knowledge—0
TutorGym: A Testbed for Evaluating AI Agents as Tutors and StudentsCode0
MateICL: Mitigating Attention Dispersion in Large-Scale In-Context LearningCode0
On the generalization of language models from in-context learning and finetuning: a controlled study—0
AdaptMI: Adaptive Skill-based In-context Math Instruction for Small Language Models—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
On the Potential of Large Language Models to Solve Semantics-Aware Process Mining Tasks—0
AlignDiT: Multimodal Aligned Diffusion Transformer for Synchronized Speech Generation—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
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
Investigating LLMs in Clinical Triage: Promising Capabilities, Persistent Intersectional Biases—0
How Private is Your Attention? Bridging Privacy with In-Context Learning—0
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