HITsz-TMG / awesome-llm-attributionsLinks
A Survey of Attributions for Large Language Models
☆220Updated last year
Alternatives and similar repositories for awesome-llm-attributions
Users that are interested in awesome-llm-attributions are comparing it to the libraries listed below
Sorting:
- A Survey on Data Selection for Language Models☆252Updated 7 months ago
- [ICLR'24 Spotlight] "Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts"☆78Updated last year
- paper list on reasoning in NLP☆194Updated 8 months ago
- [EMNLP 2024] The official GitHub repo for the survey paper "Knowledge Conflicts for LLMs: A Survey"☆149Updated last year
- The repository for the survey paper <<Survey on Large Language Models Factuality: Knowledge, Retrieval and Domain-Specificity>>☆340Updated last year
- Implementation of the paper: "Making Retrieval-Augmented Language Models Robust to Irrelevant Context"☆75Updated last year
- A Survey of Hallucination in Large Foundation Models☆55Updated last year
- Scaling Sentence Embeddings with Large Language Models☆109Updated last year
- ☆189Updated 5 months ago
- EMNLP'23 survey: a curation of awesome papers and resources on refreshing large language models (LLMs) without expensive retraining.☆136Updated last year
- Repository for the paper "Cognitive Mirage: A Review of Hallucinations in Large Language Models"☆47Updated 2 years ago
- Codebase for reproducing the experiments of the semantic uncertainty paper (paragraph-length experiments).☆76Updated last year
- A package to evaluate factuality of long-form generation. Original implementation of our EMNLP 2023 paper "FActScore: Fine-grained Atomic…☆408Updated 7 months ago
- Code implementation of synthetic continued pretraining☆142Updated 11 months ago
- [NeurIPS 2023] This is the code for the paper `Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias`.☆156Updated 2 years ago
- [EMNLP 2023] MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions☆118Updated last year
- [NAACL 2024 Outstanding Paper] Source code for the NAACL 2024 paper entitled "R-Tuning: Instructing Large Language Models to Say 'I Don't…☆126Updated last year
- [Neurips2023] Source code for Lift Yourself Up: Retrieval-augmented Text Generation with Self Memory☆62Updated 2 years ago
- [NeurIPS 2023] Codebase for the paper: "Guiding Large Language Models with Directional Stimulus Prompting"☆112Updated 2 years ago
- Data and Code for Program of Thoughts [TMLR 2023]☆300Updated last year
- [NAACL'24] Dataset, code and models for "TableLlama: Towards Open Large Generalist Models for Tables".☆131Updated last year
- Do Large Language Models Know What They Don’t Know?☆102Updated last year
- ☆293Updated last year
- Source code for the paper "Active Prompting with Chain-of-Thought for Large Language Models"☆247Updated last year
- This is the repository of HaluEval, a large-scale hallucination evaluation benchmark for Large Language Models.☆534Updated last year
- Project for the paper entitled `Instruction Tuning for Large Language Models: A Survey`☆208Updated 4 months ago
- [EMNLP 2023] Enabling Large Language Models to Generate Text with Citations. Paper: https://arxiv.org/abs/2305.14627☆501Updated last year
- Github repository for "RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models"☆215Updated last year
- [NeurIPS 2024] Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in Large Language Models☆105Updated last year
- Source Code of Paper "GPTScore: Evaluate as You Desire"☆257Updated 2 years ago