princeton-nlp / QuRatingLinks
[ICML 2024] Selecting High-Quality Data for Training Language Models
β176Updated last year
Alternatives and similar repositories for QuRating
Users that are interested in QuRating are comparing it to the libraries listed below
Sorting:
- [ICLR 2025] 𧬠RegMix: Data Mixture as Regression for Language Model Pre-training (Spotlight)β146Updated 4 months ago
- [ACL'24] Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuningβ158Updated 9 months ago
- β101Updated 8 months ago
- Code implementation of synthetic continued pretrainingβ113Updated 5 months ago
- [ACL 2024] Long-Context Language Modeling with Parallel Encodingsβ154Updated last year
- Repository for Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learningβ164Updated last year
- [ACL 2024] MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialoguesβ96Updated 10 months ago
- [EMNLP 2024] Source code for the paper "Learning Planning-based Reasoning with Trajectory Collection and Process Rewards Synthesizing".β78Updated 5 months ago
- [NAACL 2024 Outstanding Paper] Source code for the NAACL 2024 paper entitled "R-Tuning: Instructing Large Language Models to Say 'I Don'tβ¦β114Updated 11 months ago
- [ICML'2024] Can AI Assistants Know What They Don't Know?β81Updated last year
- Homepage for ProLong (Princeton long-context language models) and paper "How to Train Long-Context Language Models (Effectively)"β189Updated 3 months ago
- Official repository for ACL 2025 paper "ProcessBench: Identifying Process Errors in Mathematical Reasoning"β158Updated last month
- Implementation of ICML 23 Paper: Specializing Smaller Language Models towards Multi-Step Reasoning.β131Updated 2 years ago
- [ICLR 2024] CLEX: Continuous Length Extrapolation for Large Language Modelsβ78Updated last year
- [AAAI 2025 oral] Evaluating Mathematical Reasoning Beyond Accuracyβ61Updated 6 months ago
- BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrievalβ141Updated last month
- Model merging is a highly efficient approach for long-to-short reasoning.β62Updated 2 weeks ago
- Official code for "MAmmoTH2: Scaling Instructions from the Web" [NeurIPS 2024]β144Updated 7 months ago
- [ACL 2023] This is the code repo for our ACL'23 paper "Augmentation-Adapted Retriever Improves Generalization of Language Models as Generβ¦β60Updated 11 months ago
- [ICLR'24 Spotlight] "Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts"β69Updated last year
- [ACL 2024] FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Modelsβ101Updated last week
- Official repository for MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models [NeurIPS 2024]β71Updated 7 months ago
- β51Updated last year
- ACL 2024 | LooGLE: Long Context Evaluation for Long-Context Language Modelsβ184Updated 8 months ago
- β67Updated last year
- Official repository for ACL 2025 paper "Model Extrapolation Expedites Alignment"β73Updated last month
- β62Updated 2 years ago
- Evaluating the Ripple Effects of Knowledge Editing in Language Modelsβ55Updated last year
- β74Updated last year
- [ACL-25] We introduce ScaleQuest, a scalable, novel and cost-effective data synthesis method to unleash the reasoning capability of LLMs.β63Updated 7 months ago