alon-albalak / data-selection-surveyLinks
A Survey on Data Selection for Language Models
☆235Updated last month
Alternatives and similar repositories for data-selection-survey
Users that are interested in data-selection-survey are comparing it to the libraries listed below
Sorting:
- [ICML 2024] LESS: Selecting Influential Data for Targeted Instruction Tuning☆456Updated 8 months ago
- Project for the paper entitled `Instruction Tuning for Large Language Models: A Survey`☆179Updated 6 months ago
- The repo for In-context Autoencoder☆128Updated last year
- Repository for Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning☆164Updated last year
- A curated list of LLM Interpretability related material - Tutorial, Library, Survey, Paper, Blog, etc..☆251Updated 3 months ago
- [ICML 2024] Selecting High-Quality Data for Training Language Models☆176Updated last year
- Must-read Papers on Large Language Model (LLM) Continual Learning☆143Updated last year
- BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval☆141Updated last month
- [ACL'24] Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning☆158Updated 9 months ago
- DSIR large-scale data selection framework for language model training☆251Updated last year
- Code and data for "Lost in the Middle: How Language Models Use Long Contexts"☆347Updated last year
- open-source code for paper: Retrieval Head Mechanistically Explains Long-Context Factuality☆200Updated 10 months ago
- Official repository for ACL 2025 paper "ProcessBench: Identifying Process Errors in Mathematical Reasoning"☆158Updated last month
- Implementation of ICML 23 Paper: Specializing Smaller Language Models towards Multi-Step Reasoning.☆131Updated 2 years ago
- [EMNLP 2023] Adapting Language Models to Compress Long Contexts☆306Updated 9 months ago
- [EMNLP 2024] The official GitHub repo for the survey paper "Knowledge Conflicts for LLMs: A Survey"☆125Updated 9 months ago
- Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"☆498Updated 5 months ago
- ACL 2024 | LooGLE: Long Context Evaluation for Long-Context Language Models☆184Updated 8 months ago
- ☆261Updated last year
- ☆170Updated last year
- ☆178Updated last week
- [EMNLP 2023] MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions☆112Updated 9 months ago
- ☆183Updated last year
- Code implementation of synthetic continued pretraining☆113Updated 5 months ago
- RewardBench: the first evaluation tool for reward models.☆604Updated last week
- LLM hallucination paper list☆318Updated last year
- [EMNLP 2024 (Oral)] Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA☆134Updated 7 months ago
- ☆288Updated 10 months ago
- Awesome LLM Self-Consistency: a curated list of Self-consistency in Large Language Models☆99Updated 10 months ago
- AI Logging for Interpretability and Explainability🔬☆123Updated last year