ncsulsj / Causal_LLMLinks
☆17Updated last year
Alternatives and similar repositories for Causal_LLM
Users that are interested in Causal_LLM are comparing it to the libraries listed below
Sorting:
- Data and code for the Corr2Cause paper (ICLR 2024)☆108Updated last year
- We develop benchmarks and analysis tools to evaluate the causal reasoning abilities of LLMs.☆119Updated last year
- Conformal Language Modeling☆31Updated last year
- Efficient Full Causal Graph Discovery Using Large Language Models☆39Updated last year
- This is the repo for constructing a comprehensive and rigorous evaluation framework for LLM calibration.☆13Updated last year
- Unified benchmark and model for causal text mining☆26Updated last year
- Code for Language-Interfaced FineTuning for Non-Language Machine Learning Tasks.☆129Updated 8 months ago
- ☆32Updated last year
- ☆67Updated 2 years ago
- PyTorch implementation of the paper "Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning", NeurIPS 2023☆60Updated last year
- ☆17Updated 4 years ago
- Neural Markov Logic Networks☆11Updated 3 years ago
- Extending Conformal Prediction to LLMs☆67Updated last year
- Tensorflow 2 implementation of Causal-BERT☆71Updated last year
- Experiments and code to generate the GINC small-scale in-context learning dataset from "An Explanation for In-context Learning as Implici…☆108Updated last year
- Offical code of the paper Large Language Models Are Implicitly Topic Models: Explaining and Finding Good Demonstrations for In-Context Le…☆75Updated last year
- PyTorch Implementation of Prompt-augmented Temporal Point Process for Streaming Event Sequence, NeurIPS 2023☆14Updated last year
- Model zoo for different kinds of uncertainty quantification methods used in Natural Language Processing, implemented in PyTorch.☆53Updated 2 years ago
- Code to reproduce the paper "Do causal predictors generalize better to new domains?"☆12Updated 6 months ago
- Causal Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)☆43Updated 3 years ago
- ☆13Updated 2 years ago
- Codebase for "Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions", ICML 2020.☆9Updated 5 years ago
- ☆32Updated last year
- Code and results accompanying our paper titled Mixture Proportion Estimation and PU Learning: A Modern Approach at Neurips 2021 (Spotligh…☆44Updated last year
- Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations (ICML 2022)☆27Updated 3 years ago
- Experimental library integrating LLM capabilities to support causal analyses☆230Updated this week
- [EMNLP 2023] Knowledge Rumination for Pre-trained Language Models☆17Updated 2 years ago
- ☆17Updated last year
- Generating diverse counterfactual data for Natural Language Understanding tasks using Large Language Models (LLMs). The generator support…☆37Updated 2 years ago
- The Codebase for Causal Distillation for Language Models (NAACL '22)☆25Updated 3 years ago