kailas-v / human-ai-interactionsLinks
☆12Updated 2 years ago
Alternatives and similar repositories for human-ai-interactions
Users that are interested in human-ai-interactions are comparing it to the libraries listed below
Sorting:
- This is the repo for constructing a comprehensive and rigorous evaluation framework for LLM calibration.☆13Updated last year
- This repository contains some of the code used in the paper "Training Language Models with Langauge Feedback at Scale"☆27Updated 2 years ago
- ☆10Updated 3 years ago
- Code for the ICLR 2021 Paper "In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness"☆13Updated 3 years ago
- MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".☆18Updated 2 years ago
- ☆32Updated 2 years ago
- Post-processing for fair classification☆15Updated 2 weeks ago
- Explanation Optimization☆13Updated 4 years ago
- ☆29Updated 2 years ago
- Code Repository for "A Causal Framework to Quantify the Robustness of Mathematical Reasoning with Language Models".☆15Updated 2 years ago
- [ICLR 2022] "Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How" by Yuning You, Yue Cao, Tianl…☆14Updated 2 years ago
- Align your LM to express calibrated verbal statements of confidence in its long-form generations.☆26Updated last year
- The official repository for our paper "Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks". We…☆46Updated last year
- Repo for: When to Make Exceptions: Exploring Language Models as Accounts of Human Moral Judgment☆38Updated 2 years ago
- ☆32Updated last year
- Extending Conformal Prediction to LLMs☆67Updated last year
- [ACL 2023]: Training Trajectories of Language Models Across Scales https://arxiv.org/pdf/2212.09803.pdf☆24Updated 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
- Code for Residual Energy-Based Models for Text Generation in PyTorch.☆24Updated 4 years ago
- ZeroC is a neuro-symbolic method that trained with elementary visual concepts and relations, can zero-shot recognize and acquire more com…☆32Updated 2 years ago
- Accompanying code for "Boosted Prompt Ensembles for Large Language Models"☆30Updated 2 years ago
- Group-conditional DRO to alleviate spurious correlations☆15Updated 4 years ago
- Influence Estimation for Gradient-Boosted Decision Trees☆29Updated last year
- Distributional and Outlier Robust Optimization (ICML 2021)☆27Updated 4 years ago
- ☆28Updated 4 months ago
- In-context Example Selection with Influences☆15Updated 2 years ago
- Dynamic causal Bayesian optimisation☆39Updated 2 years ago
- csl: PyTorch-based Constrained Learning☆12Updated 3 years ago
- Model zoo for different kinds of uncertainty quantification methods used in Natural Language Processing, implemented in PyTorch.☆53Updated 2 years ago
- ☆18Updated 8 months ago