Alternatives and similar repositories for human-ai-interactions

Users that are interested in human-ai-interactions are comparing it to the libraries listed below

• p-lambda / in-n-out
  Code for the ICLR 2021 Paper "In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness"
  ☆13Updated 4 years ago
• tatsu-lab / conformal-factual-lm
  ☆33Updated last year
• bhaweshiitk / ConformalLLM
  Extending Conformal Prediction to LLMs
  ☆68Updated last year
• violet-zct / group-conditional-DRO
  Group-conditional DRO to alleviate spurious correlations
  ☆15Updated 4 years ago
• shuoli90 / Rank-Calibration
  This is the repo for constructing a comprehensive and rigorous evaluation framework for LLM calibration.
  ☆13Updated last year
• dh7401 / T-Cal
  ☆10Updated 3 years ago
• RobertCsordas / modules
  The official repository for our paper "Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks". We…
  ☆46Updated 2 years ago
• mymakar / causally_motivated_shortcut_removal
  ☆14Updated 2 years ago
• tatsu-lab / linguistic_calibration
  Align your LM to express calibrated verbal statements of confidence in its long-form generations.
  ☆28Updated last year
• JeremyAlain / imitation_learning_from_language_feedback
  This repository contains some of the code used in the paper "Training Language Models with Langauge Feedback at Scale"
  ☆27Updated 2 years ago
• da03 / Residual-EBM
  Code for Residual Energy-Based Models for Text Generation in PyTorch.
  ☆25Updated 4 years ago
• cambridgeltl / zepo
  Fairer Preferences Elicit Improved Human-Aligned Large Language Model Judgments (Zhou et al., EMNLP 2024)
  ☆14Updated last year
• uiuctml / fair-classification
  Post-processing for fair classification
  ☆16Updated 6 months ago
• KempnerInstitute / llm_uncertainty
  Code for the paper "Distinguishing the Knowable from the Unknowable with Language Models"
  ☆10Updated last year
• charmlab / recourse
  Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831
  ☆37Updated 3 years ago
• Kaleidophon / nlp-uncertainty-zoo
  Model zoo for different kinds of uncertainty quantification methods used in Natural Language Processing, implemented in PyTorch.
  ☆55Updated 2 years ago
• allenbai01 / transformers-as-statisticians
  ☆34Updated 2 years ago
• jayelm / compexp
  Compositional Explanations of Neurons, NeurIPS 2020 https://arxiv.org/abs/2006.14032
  ☆26Updated 4 years ago
• lfochamon / csl
  csl: PyTorch-based Constrained Learning
  ☆12Updated 3 years ago
• CoderPat / learning-scaffold
  This is the official implementation for the paper "Learning to Scaffold: Optimizing Model Explanations for Teaching"
  ☆19Updated 3 years ago
• yixinwang / representation-causal-public
  ☆45Updated 3 years ago
• archiki / GrIPS
  Code for our paper: "GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models"
  ☆57Updated 2 years ago
• erosenfeld / disagree_discrep
  Provably (and non-vacuously) bounding test error of deep neural networks under distribution shift with unlabeled test data.
  ☆10Updated last year
• frankaging / Interchange-Intervention-Training
  The codebase for Inducing Causal Structure for Interpretable Neural Networks
  ☆11Updated 4 years ago
• sylinrl / CalibratedMath
  Teaching Models to Express Their Uncertainty in Words
  ☆39Updated 3 years ago
• xiaoyuxin1002 / UQ-PLM
  Uncertainty Quantification with Pre-trained Language Models: An Empirical Analysis
  ☆15Updated 3 years ago
• allenai / mice
  ☆26Updated 3 years ago
• p-lambda / incontext-learning
  Experiments and code to generate the GINC small-scale in-context learning dataset from "An Explanation for In-context Learning as Implici…
  ☆106Updated 2 years ago
• rtaori / data_feedback
  Code for the paper "Data Feedback Loops: Model-driven Amplification of Dataset Biases"
  ☆18Updated 3 years ago
• allenai / contrastive-explanations
  Explaining neural decisions contrastively to alternative decisions.
  ☆25Updated 4 years ago