Saved in:
| Main Authors: | Hsu, Enshuo, Roberts, Kirk |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2411.11779 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Leveraging Large Language Models for Knowledge-free Weak Supervision in Clinical Natural Language Processing
by: Hsu, Enshuo, et al.
Published: (2024)
by: Hsu, Enshuo, et al.
Published: (2024)
UQLM: A Python Package for Uncertainty Quantification in Large Language Models
by: Bouchard, Dylan, et al.
Published: (2025)
by: Bouchard, Dylan, et al.
Published: (2025)
OpenChemIE: An Information Extraction Toolkit For Chemistry Literature
by: Fan, Vincent, et al.
Published: (2024)
by: Fan, Vincent, et al.
Published: (2024)
dnamite: A Python Package for Neural Additive Models
by: Van Ness, Mike, et al.
Published: (2025)
by: Van Ness, Mike, et al.
Published: (2025)
InstructIE: A Bilingual Instruction-based Information Extraction Dataset
by: Gui, Honghao, et al.
Published: (2023)
by: Gui, Honghao, et al.
Published: (2023)
SelfIE: Self-Interpretation of Large Language Model Embeddings
by: Chen, Haozhe, et al.
Published: (2024)
by: Chen, Haozhe, et al.
Published: (2024)
Temporal Streaming Batch Principal Component Analysis for Time Series Classification
by: Yan, Enshuo, et al.
Published: (2024)
by: Yan, Enshuo, et al.
Published: (2024)
BARMPy: Bayesian Additive Regression Models Python Package
by: Van Boxel, Danielle
Published: (2024)
by: Van Boxel, Danielle
Published: (2024)
Torch-Choice: A PyTorch Package for Large-Scale Choice Modeling with Python
by: Du, Tianyu, et al.
Published: (2023)
by: Du, Tianyu, et al.
Published: (2023)
LangFair: A Python Package for Assessing Bias and Fairness in Large Language Model Use Cases
by: Bouchard, Dylan, et al.
Published: (2025)
by: Bouchard, Dylan, et al.
Published: (2025)
Synthesized Annotation Guidelines are Knowledge-Lite Boosters for Clinical Information Extraction
by: Hsu, Enshuo, et al.
Published: (2025)
by: Hsu, Enshuo, et al.
Published: (2025)
OGBoost: A Python Package for Ordinal Gradient Boosting
by: Sharabiani, Mansour T. A., et al.
Published: (2025)
by: Sharabiani, Mansour T. A., et al.
Published: (2025)
StepMix: A Python Package for Pseudo-Likelihood Estimation of Generalized Mixture Models with External Variables
by: Morin, Sacha, et al.
Published: (2023)
by: Morin, Sacha, et al.
Published: (2023)
Simulation-based Inference with the Python Package sbijax
by: Dirmeier, Simon, et al.
Published: (2024)
by: Dirmeier, Simon, et al.
Published: (2024)
milearn: A Python Package for Multi-Instance Machine Learning
by: Zankov, Dmitry, et al.
Published: (2025)
by: Zankov, Dmitry, et al.
Published: (2025)
NUBO: A Transparent Python Package for Bayesian Optimization
by: Diessner, Mike, et al.
Published: (2023)
by: Diessner, Mike, et al.
Published: (2023)
bde: A Python Package for Bayesian Deep Ensembles via MILE
by: Arvanitis, Vyron, et al.
Published: (2026)
by: Arvanitis, Vyron, et al.
Published: (2026)
hyppo: A Multivariate Hypothesis Testing Python Package
by: Panda, Sambit, et al.
Published: (2019)
by: Panda, Sambit, et al.
Published: (2019)
RobPy: a Python Package for Robust Statistical Methods
by: Leyder, Sarah, et al.
Published: (2024)
by: Leyder, Sarah, et al.
Published: (2024)
scikit-fda: A Python Package for Functional Data Analysis
by: Ramos-Carreño, Carlos, et al.
Published: (2022)
by: Ramos-Carreño, Carlos, et al.
Published: (2022)
genriesz: A Python Package for Automatic Debiased Machine Learning with Generalized Riesz Regression
by: Kato, Masahiro
Published: (2026)
by: Kato, Masahiro
Published: (2026)
regAL: Python Package for Active Learning of Regression Problems
by: Surzhikova, Elizaveta, et al.
Published: (2024)
by: Surzhikova, Elizaveta, et al.
Published: (2024)
Automated Type Annotation in Python Using Large Language Models
by: Bharti, Varun, et al.
Published: (2025)
by: Bharti, Varun, et al.
Published: (2025)
Which Programming Language and Model Work Best With LLM-as-a-Judge For Code Retrieval?
by: Roberts, Lucas, et al.
Published: (2025)
by: Roberts, Lucas, et al.
Published: (2025)
PyDPF: A Python Package for Differentiable Particle Filtering
by: Brady, John-Joseph, et al.
Published: (2025)
by: Brady, John-Joseph, et al.
Published: (2025)
DISP-LLM: Dimension-Independent Structural Pruning for Large Language Models
by: Gao, Shangqian, et al.
Published: (2024)
by: Gao, Shangqian, et al.
Published: (2024)
PyDTS: A Python Package for Discrete-Time Survival Analysis with Competing Risks and Optional Penalization
by: Meir, Tomer, et al.
Published: (2022)
by: Meir, Tomer, et al.
Published: (2022)
MissMecha: An All-in-One Python Package for Studying Missing Data Mechanisms
by: Zhou, Youran, et al.
Published: (2025)
by: Zhou, Youran, et al.
Published: (2025)
Sketch 'n Solve: An Efficient Python Package for Large-Scale Least Squares Using Randomized Numerical Linear Algebra
by: Lavaee, Alex
Published: (2024)
by: Lavaee, Alex
Published: (2024)
eipy: An Open-Source Python Package for Multi-modal Data Integration using Heterogeneous Ensembles
by: Bennett, Jamie J. R., et al.
Published: (2024)
by: Bennett, Jamie J. R., et al.
Published: (2024)
psifx -- Psychological and Social Interactions Feature Extraction Package
by: Rochette, Guillaume, et al.
Published: (2024)
by: Rochette, Guillaume, et al.
Published: (2024)
DocuMint: Docstring Generation for Python using Small Language Models
by: Poudel, Bibek, et al.
Published: (2024)
by: Poudel, Bibek, et al.
Published: (2024)
xaitimesynth: A Python Package for Evaluating Attribution Methods for Time Series with Synthetic Ground Truth
by: Baer, Gregor
Published: (2026)
by: Baer, Gregor
Published: (2026)
N$^2$: A Unified Python Package and Test Bench for Nearest Neighbor-Based Matrix Completion
by: Chin, Caleb, et al.
Published: (2025)
by: Chin, Caleb, et al.
Published: (2025)
spd-metrics-id: A Python Package for SPD-Aware Distance Metrics in Connectome Fingerprinting and Beyond
by: Uddin, Kaosar
Published: (2025)
by: Uddin, Kaosar
Published: (2025)
AbbIE: Autoregressive Block-Based Iterative Encoder for Efficient Sequence Modeling
by: Aleksandrov, Preslav, et al.
Published: (2025)
by: Aleksandrov, Preslav, et al.
Published: (2025)
Exploring the Generalization of Cancer Clinical Trial Eligibility Classifiers Across Diseases
by: Yang, Yumeng, et al.
Published: (2024)
by: Yang, Yumeng, et al.
Published: (2024)
TopoX: A Suite of Python Packages for Machine Learning on Topological Domains
by: Hajij, Mustafa, et al.
Published: (2024)
by: Hajij, Mustafa, et al.
Published: (2024)
Utilizing Large Language Models for Information Extraction from Real Estate Transactions
by: Zhao, Yu, et al.
Published: (2024)
by: Zhao, Yu, et al.
Published: (2024)
DeepOnto: A Python Package for Ontology Engineering with Deep Learning
by: He, Yuan, et al.
Published: (2023)
by: He, Yuan, et al.
Published: (2023)
Similar Items
-
Leveraging Large Language Models for Knowledge-free Weak Supervision in Clinical Natural Language Processing
by: Hsu, Enshuo, et al.
Published: (2024) -
UQLM: A Python Package for Uncertainty Quantification in Large Language Models
by: Bouchard, Dylan, et al.
Published: (2025) -
OpenChemIE: An Information Extraction Toolkit For Chemistry Literature
by: Fan, Vincent, et al.
Published: (2024) -
dnamite: A Python Package for Neural Additive Models
by: Van Ness, Mike, et al.
Published: (2025) -
InstructIE: A Bilingual Instruction-based Information Extraction Dataset
by: Gui, Honghao, et al.
Published: (2023)