Alternatives and similar repositories for Awesome-ScalingLaws

Users that are interested in Awesome-ScalingLaws are comparing it to the libraries listed below

• qtli / GSM-Plus
  GSM-Plus: Data, Code, and Evaluation for Enhancing Robust Mathematical Reasoning in Math Word Problems.
  ☆62Updated last year
• FreedomIntelligence / OVM
  ☆68Updated last year
• Shwai-He / MEO
  The source code of "Merging Experts into One: Improving Computational Efficiency of Mixture of Experts (EMNLP 2023)":
  ☆38Updated last year
• GAIR-NLP / ReasonEval
  [AAAI 2025 oral] Evaluating Mathematical Reasoning Beyond Accuracy
  ☆63Updated 7 months ago
• swj0419 / in-context-pretraining
  ☆53Updated last year
• genrm-star / genrm-critiques
  GenRM-CoT: Data release for verification rationales
  ☆63Updated 9 months ago
• FranxYao / FlanT5-CoT-Specialization
  Implementation of ICML 23 Paper: Specializing Smaller Language Models towards Multi-Step Reasoning.
  ☆131Updated 2 years ago
• cxcscmu / MATES
  Official repository for MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models [NeurIPS 2024]
  ☆72Updated 8 months ago
• YuxiXie / SelfEval-Guided-Decoding
  ☆99Updated last year
• edenbiran / RippleEdits
  Evaluating the Ripple Effects of Knowledge Editing in Language Models
  ☆56Updated last year
• chujiezheng / LLM-Extrapolation
  Official repository for ACL 2025 paper "Model Extrapolation Expedites Alignment"
  ☆75Updated 2 months ago
• TianHongZXY / RLVR-Decomposed
  Implementation for the paper "The Surprising Effectiveness of Negative Reinforcement in LLM Reasoning"
  ☆83Updated 3 weeks ago
• Edward-Sun / easy-to-hard
  Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision
  ☆123Updated 10 months ago
• princeton-nlp / QuRating
  [ICML 2024] Selecting High-Quality Data for Training Language Models
  ☆183Updated last year
• ChaosCodes / ProPETL
  One Network, Many Masks: Towards More Parameter-Efficient Transfer Learning
  ☆40Updated 2 years ago
• princeton-nlp / ProLong
  Homepage for ProLong (Princeton long-context language models) and paper "How to Train Long-Context Language Models (Effectively)"
  ☆218Updated 4 months ago
• hkust-nlp / PEM_composition
  [NeurIPS 2023] Github repository for "Composing Parameter-Efficient Modules with Arithmetic Operations"
  ☆61Updated last year
• GAIR-NLP / alignment-for-honesty
  ☆74Updated last year
• chujiezheng / LLM-MCQ-Bias
  Official repository for ICLR 2024 Spotlight paper "Large Language Models Are Not Robust Multiple Choice Selectors"
  ☆41Updated 2 months ago
• hkust-nlp / llm-compression-intelligence
  Official github repo for the paper "Compression Represents Intelligence Linearly" [COLM 2024]
  ☆139Updated 10 months ago
• HKUNLP / STRING
  [ICLR'25] Data and code for our paper "Why Does the Effective Context Length of LLMs Fall Short?"
  ☆77Updated 8 months ago
• hanxuhu / SeqIns
  The repository of the project "Fine-tuning Large Language Models with Sequential Instructions", code base comes from open-instruct and LA…
  ☆29Updated 8 months ago
• tongyx361 / Awesome-LLM4Math
  Curation of resources for LLM mathematical reasoning, most of which are screened by @tongyx361 to ensure high quality and accompanied wit…
  ☆132Updated last year
• hkust-nlp / dart-math
  [NeurIPS'24] Official code for *🎯DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving*
  ☆110Updated 7 months ago
• princeton-nlp / MQuAKE
  [EMNLP 2023] MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions
  ☆114Updated 10 months ago
• OpenMOSS / Say-I-Dont-Know
  [ICML'2024] Can AI Assistants Know What They Don't Know?
  ☆81Updated last year
• alisawuffles / proxy-tuning
  Code associated with Tuning Language Models by Proxy (Liu et al., 2024)
  ☆114Updated last year
• ADaM-BJTU / W2SG
  The code of “Improving Weak-to-Strong Generalization with Scalable Oversight and Ensemble Learning”
  ☆17Updated last year
• SihengLi99 / LLM-Honesty-Survey
  [2025-TMLR] A Survey on the Honesty of Large Language Models
  ☆58Updated 7 months ago
• shuyhere / about-super-alignment
  Feeling confused about super alignment? Here is a reading list
  ☆43Updated last year