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16 repositories

MAS-ProVe
Public
Multi-Agent System Process Verification (MAS-ProVe)
multi-agent-systems automatic-verification llms-reasoning
multi-agent-systems automatic-verification llms-reasoning
Python
•0•2•0•0•Updated Mar 27, 2026Mar 27, 2026
TokUR
Public
[ICLR 2026] TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning
uncertainty-quantification uncertainty-estimation bayesian-deep-learning
uncertainty-quantification uncertainty-estimation bayesian-deep-learning large-language-models reasoning-language-models
Python
•
MIT License
•1•4•0•0•Updated Mar 19, 2026Mar 19, 2026
multimodal-needle-in-a-haystack
Public
[NAACL 2025 Oral] Multimodal Needle in a Haystack (MMNeedle): Benchmarking Long-Context Capability of Multimodal Large Language Models
benchmark llm multimodal-large-language-models
benchmark llm multimodal-large-language-models needle-in-a-haystack multimodal-needle-in-a-haystack
Python
•3•54•0•0•Updated Feb 22, 2026Feb 22, 2026
bayesian-peft
Public
Bayesian Low-Rank Adaptation of LLMs: BLoB [NeurIPS 2024] and TFB [NeurIPS 2025]
uncertainty-quantification uncertainty-estimation bayesian-deep-learning
uncertainty-quantification uncertainty-estimation bayesian-deep-learning bayeisan large-language-models
Python
•
MIT License
•6•35•0•0•Updated Feb 4, 2026Feb 4, 2026
llm-continual-learning-survey
Public
[CSUR 2025] Continual Learning of Large Language Models: A Comprehensive Survey
continual-learning llm large-language-model
continual-learning llm large-language-model
22•535•0•0•Updated Dec 23, 2025Dec 23, 2025
interpretable-foundation-models
Public
[ICML 2024] Probabilistic Conceptual Explainers (PACE): Trustworthy Conceptual Explanations for Vision Foundation Models
graphical-models probabilistic-graphical-models interpretability
graphical-models probabilistic-graphical-models interpretability bayesian-deep-learning vision-transformer foundation-models large-language-models llm multimodal-large-language-models large-multimodal-models
Python
•4•18•0•0•Updated Sep 25, 2025Sep 25, 2025
multi-domain-active-learning
Public
[AAAI 2024] Composite Active Learning: Towards Multi-Domain Active Learning with Theoretical Guarantees
theory transfer-learning active-learning
theory transfer-learning active-learning domain-adaptation multi-domain-adaptation multi-domain-learning
Python
•0•7•0•0•Updated Mar 16, 2025Mar 16, 2025
MMLU-SR
Public
Python
•0•9•0•0•Updated Feb 4, 2025Feb 4, 2025
unified-continual-learning
Public
[NeurIPS 2023] A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm
domain-adaptation generalization continual-learning
domain-adaptation generalization continual-learning domain-incremental-learning
Python
•6•52•0•0•Updated Jan 26, 2025Jan 26, 2025
GRDA
Public
[ICLR 2022] Graph-Relational Domain Adaptation
deep-learning graphs game-theory
deep-learning graphs game-theory transfer-learning relational-learning adversarial-learning domain-adaptation deep-learning-models graph-learning statistical-machine-learning
Python
•10•45•0•0•Updated Apr 12, 2024Apr 12, 2024
variational-imbalanced-regression
Public
[NeurIPS 2023] Variational Imbalanced Regression: Fair Uncertainty Quantification via Probabilistic Smoothing
uncertainty-quantification uncertainty-estimation fairness
uncertainty-quantification uncertainty-estimation fairness imbalanced-learning bayesian-deep-learning bayesian-neural-network imbalanced-regression
Python
•1•9•1•0•Updated Apr 6, 2024Apr 6, 2024
ECBM
Public
ICLR 2024: Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations
Jupyter Notebook
•
MIT License
•2•0•0•0•Updated Apr 6, 2024Apr 6, 2024
Formal-LLM
Public
Formal-LLM: Integrating Formal Language and Natural Language for Controllable LLM-based Agents
Python
•11•0•0•0•Updated Feb 1, 2024Feb 1, 2024
VDI
Public
[ICLR 2023 (Spotlight)] Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation
Python
•
MIT License
•6•40•0•0•Updated Jan 13, 2024Jan 13, 2024
train-free-uncertainty
Public
Official Code for "Training-Free Uncertainty Estimation for Dense Regression: Sensitivity as a Surrogate, AAAI 2022"
Python
•
MIT License
•2•0•0•0•Updated Oct 12, 2023Oct 12, 2023
TSDA
Public
[ICML 2023] Taxonomy-Structured Domain Adaptation
Python
•5•12•0•0•Updated Oct 6, 2023Oct 6, 2023

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ML@Rutgers

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All

16 repositories

MAS-ProVe

TokUR

multimodal-needle-in-a-haystack

bayesian-peft

llm-continual-learning-survey

interpretable-foundation-models

multi-domain-active-learning

MMLU-SR

unified-continual-learning

GRDA

variational-imbalanced-regression

ECBM

Formal-LLM

VDI

train-free-uncertainty

TSDA

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Repositories list

16 repositories