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
• hkust-nlp / PEM_composition
  [NeurIPS 2023] Github repository for "Composing Parameter-Efficient Modules with Arithmetic Operations"
  ☆61Updated last year
• swj0419 / in-context-pretraining
  ☆53Updated last year
• GAIR-NLP / ReasonEval
  [AAAI 2025 oral] Evaluating Mathematical Reasoning Beyond Accuracy
  ☆69Updated 8 months ago
• princeton-nlp / ProLong
  Homepage for ProLong (Princeton long-context language models) and paper "How to Train Long-Context Language Models (Effectively)"
  ☆219Updated 5 months ago
• edenbiran / RippleEdits
  Evaluating the Ripple Effects of Knowledge Editing in Language Models
  ☆56Updated last year
• FreedomIntelligence / OVM
  ☆68Updated last year
• FranxYao / FlanT5-CoT-Specialization
  Implementation of ICML 23 Paper: Specializing Smaller Language Models towards Multi-Step Reasoning.
  ☆132Updated 2 years ago
• princeton-nlp / QuRating
  [ICML 2024] Selecting High-Quality Data for Training Language Models
  ☆185Updated last year
• genrm-star / genrm-critiques
  GenRM-CoT: Data release for verification rationales
  ☆65Updated 10 months ago
• HKUNLP / STRING
  [ICLR'25] Data and code for our paper "Why Does the Effective Context Length of LLMs Fall Short?"
  ☆77Updated 9 months ago
• Shwai-He / MEO
  The source code of "Merging Experts into One: Improving Computational Efficiency of Mixture of Experts (EMNLP 2023)":
  ☆38Updated last year
• tatsu-lab / test_set_contamination
  ☆39Updated last year
• hkust-nlp / dart-math
  [NeurIPS'24] Official code for *🎯DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving*
  ☆112Updated 8 months ago
• hkust-nlp / llm-compression-intelligence
  Official github repo for the paper "Compression Represents Intelligence Linearly" [COLM 2024]
  ☆141Updated 11 months ago
• cxcscmu / MATES
  Official repository for MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models [NeurIPS 2024]
  ☆74Updated 9 months ago
• yyDing1 / ScaleQuest
  [ACL-25] We introduce ScaleQuest, a scalable, novel and cost-effective data synthesis method to unleash the reasoning capability of LLMs.
  ☆64Updated 9 months ago
• alisawuffles / proxy-tuning
  Code associated with Tuning Language Models by Proxy (Liu et al., 2024)
  ☆114Updated last year
• Edward-Sun / easy-to-hard
  Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision
  ☆123Updated 11 months ago
• hahahawu / Long-to-Short-via-Model-Merging
  Model merging is a highly efficient approach for long-to-short reasoning.
  ☆80Updated 2 months ago
• roeehendel / icl_task_vectors
  ☆96Updated last year
• TianHongZXY / RLVR-Decomposed
  Implementation for the paper "The Surprising Effectiveness of Negative Reinforcement in LLM Reasoning"
  ☆91Updated last month
• QwenLM / ProcessBench
  Official repository for ACL 2025 paper "ProcessBench: Identifying Process Errors in Mathematical Reasoning"
  ☆170Updated 3 months ago
• yegcjs / mixinglaws
  ☆104Updated last month
• chujiezheng / LLM-Extrapolation
  Official repository for ACL 2025 paper "Model Extrapolation Expedites Alignment"
  ☆75Updated 3 months ago
• OpenMOSS / Say-I-Dont-Know
  [ICML'2024] Can AI Assistants Know What They Don't Know?
  ☆83Updated last year
• princeton-nlp / MQuAKE
  [EMNLP 2023] MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions
  ☆114Updated 11 months ago
• ernie-research / Tool-Augmented-Reward-Model
  [ICLR'24 spotlight] Tool-Augmented Reward Modeling
  ☆51Updated 2 months ago
• GAIR-NLP / alignment-for-honesty
  ☆75Updated last year
• OrangeInSouth / DeePEn
  A method of ensemble learning for heterogeneous large language models.
  ☆58Updated last year