StephLong614 / Causal-disco-LLM-imperfect-experts
☆17Updated 11 months ago
Alternatives and similar repositories for Causal-disco-LLM-imperfect-experts
Users that are interested in Causal-disco-LLM-imperfect-experts are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2024] "Discovery of the Hidden World with Large Language Models"☆19Updated 5 months ago
- ☆29Updated last year
- Experiments to reproduce results in Interventional Causal Representation Learning.☆24Updated 2 years ago
- ☆25Updated last month
- Efficient Full Causal Graph Discovery Using Large Language Models☆35Updated last year
- Code for paper: Are Large Language Models Post Hoc Explainers?☆31Updated 9 months ago
- This is the implementation for the NeurIPS 2022 paper: ZIN: When and How to Learn Invariance Without Environment Partition?☆22Updated 2 years ago
- [NeurIPS 2023] Understanding and Improving Feature Learning for Out-of-Distribution Generalization☆30Updated 10 months ago
- Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)☆66Updated 2 years ago
- Papers collections that is related to knowledge graph, causal inference, and large language model☆52Updated 9 months ago
- ☆38Updated 9 months ago
- ☆64Updated last year
- Deep Counterfactual Prediction with Categorical Backward Variables☆12Updated 2 years ago
- ☆17Updated last year
- A python package providing a benchmark with various specified distribution shift patterns.☆57Updated last year
- source code for NeurIPS'24 paper "HaloScope: Harnessing Unlabeled LLM Generations for Hallucination Detection"☆42Updated last month
- PyTorch Implementation of Prompt-augmented Temporal Point Process for Streaming Event Sequence, NeurIPS 2023☆14Updated last year
- Data and code for the Corr2Cause paper (ICLR 2024)☆103Updated last year
- [NeurIPS 2024] "Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?"☆35Updated 4 months ago
- ☆12Updated 2 years ago
- Revolve: Optimizing AI Systems by Tracking Response Evolution in Textual Optimization☆14Updated 5 months ago
- Uncertainty quantification for in-context learning of large language models☆16Updated last year
- ☆26Updated last year
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆53Updated last year
- Code for NeurIPS'23 paper "A Bayesian Approach To Analysing Training Data Attribution In Deep Learning"☆17Updated last year
- AAAI 2024 Accept☆17Updated last year
- A curated list of awesome human-centered AI resources.☆48Updated 3 years ago
- Codes for Causal Semantic Generative model (CSG), the model proposed in "Learning Causal Semantic Representation for Out-of-Distribution …☆73Updated 3 years ago
- Models, data, and codes for the paper: MetaAligner: Towards Generalizable Multi-Objective Alignment of Language Models☆18Updated 7 months ago
- Summarizing Mean Review Score for All Submissions for a Conference hosted on Openreview☆22Updated last year