HITsz-TMG / awesome-llm-attributionsLinks
A Survey of Attributions for Large Language Models
☆209Updated 11 months ago
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☆246Updated 3 months ago
- [EMNLP 2024] The official GitHub repo for the survey paper "Knowledge Conflicts for LLMs: A Survey"☆130Updated 10 months ago
- The repository for the survey paper <<Survey on Large Language Models Factuality: Knowledge, Retrieval and Domain-Specificity>>☆341Updated last year
- A package to evaluate factuality of long-form generation. Original implementation of our EMNLP 2023 paper "FActScore: Fine-grained Atomic…☆366Updated 3 months ago
- [NAACL'24] Dataset, code and models for "TableLlama: Towards Open Large Generalist Models for Tables".☆130Updated last year
- [ICLR'24 Spotlight] "Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts"☆73Updated last year
- Project for the paper entitled `Instruction Tuning for Large Language Models: A Survey`☆182Updated 8 months ago
- Repository for the paper "Cognitive Mirage: A Review of Hallucinations in Large Language Models"☆47Updated last year
- ☆183Updated last month
- Implementation of the paper: "Making Retrieval-Augmented Language Models Robust to Irrelevant Context"☆70Updated last year
- Scaling Sentence Embeddings with Large Language Models☆111Updated last year
- A Survey of Hallucination in Large Foundation Models☆54Updated last year
- paper list on reasoning in NLP☆190Updated 4 months ago
- [ICLR 2025] InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales☆114Updated 6 months ago
- EMNLP'23 survey: a curation of awesome papers and resources on refreshing large language models (LLMs) without expensive retraining.☆134Updated last year
- https://acl2023-retrieval-lm.github.io/☆155Updated 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…☆114Updated last year
- Do Large Language Models Know What They Don’t Know?☆99Updated 9 months ago
- Repository for Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions, ACL23☆225Updated last year
- Github repository for "RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models"☆192Updated 8 months ago
- Code implementation of synthetic continued pretraining☆123Updated 7 months ago
- ACL2023 - AlignScore, a metric for factual consistency evaluation.☆136Updated last year
- Source Code of Paper "GPTScore: Evaluate as You Desire"☆254Updated 2 years ago
- The Paper List on Data Contamination for Large Language Models Evaluation.☆98Updated 3 weeks ago
- [EMNLP 2023] MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions☆114Updated 10 months ago
- ☆284Updated last year
- [Neurips2023] Source code for Lift Yourself Up: Retrieval-augmented Text Generation with Self Memory☆61Updated 2 years ago
- Data and Code for Program of Thoughts [TMLR 2023]☆280Updated last year
- This is the repository of HaluEval, a large-scale hallucination evaluation benchmark for Large Language Models.☆497Updated last year
- ☆46Updated last year