tatsu-lab / conformal-factual-lm
☆20Updated last year
Alternatives and similar repositories for conformal-factual-lm:
Users that are interested in conformal-factual-lm are comparing it to the libraries listed below
- Conformal Language Modeling☆28Updated last year
- Group-conditional DRO to alleviate spurious correlations☆15Updated 3 years ago
- ☆34Updated last year
- ☆9Updated last year
- ☆26Updated last year
- ☆83Updated 7 months ago
- Code for Environment Inference for Invariant Learning (ICML 2021 Paper)☆50Updated 3 years ago
- Repository for the NeurIPS 2023 paper "Beyond Confidence: Reliable Models Should Also Consider Atypicality"☆12Updated 10 months ago
- ☆11Updated 2 years ago
- The code of paper "Toward Optimal LLM Alignments Using Two-Player Games".☆16Updated 8 months ago
- Code for paper: Are Large Language Models Post Hoc Explainers?☆30Updated 6 months ago
- ☆43Updated 3 years ago
- Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)☆65Updated last year
- ☆47Updated last year
- Model zoo for different kinds of uncertainty quantification methods used in Natural Language Processing, implemented in PyTorch.☆51Updated last year
- ☆21Updated 4 months ago
- ☆28Updated 7 months ago
- Bayesian low-rank adaptation for large language models☆22Updated 9 months ago
- ☆60Updated 3 years ago
- Influence Analysis and Estimation - Survey, Papers, and Taxonomy☆69Updated 11 months ago
- Data and code for the Corr2Cause paper (ICLR 2024)☆93Updated 10 months ago
- Code for the ICLR 2021 Paper "In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness"☆12Updated 3 years ago
- Tensorflow implementation of Invariant Rationalization☆49Updated 2 years ago
- tianlu-wang / Identifying-and-Mitigating-Spurious-Correlations-for-Improving-Robustness-in-NLP-ModelsNAACL 2022 Findings☆15Updated 2 years ago
- Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control☆66Updated 3 months ago
- DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models (ICLR 2024)☆62Updated 4 months ago
- This is the repository for "Model Merging by Uncertainty-Based Gradient Matching", ICLR 2024.☆26Updated 9 months ago
- A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity.☆62Updated 3 months ago
- Experiments and code to generate the GINC small-scale in-context learning dataset from "An Explanation for In-context Learning as Implici…☆103Updated last year
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…☆62Updated 2 years ago