Alternatives and similar repositories for resolving-scaling-law-discrepancies

Users that are interested in resolving-scaling-law-discrepancies are comparing it to the libraries listed below

• mcleish7 / gemstone-scaling-laws
  Gemstones: A Model Suite for Multi-Faceted Scaling Laws (NeurIPS 2025)
  ☆29Updated last month
• yidingjiang / ado
  The repository contains code for Adaptive Data Optimization
  ☆28Updated 11 months ago
• Hritikbansal / jpo
  ☆13Updated 4 months ago
• tml-epfl / icl-alignment
  Is In-Context Learning Sufficient for Instruction Following in LLMs? [ICLR 2025]
  ☆31Updated 9 months ago
• matchten / LoRA-Models-for-SAEs
  Code for reproducing our paper "Low Rank Adapting Models for Sparse Autoencoder Features"
  ☆17Updated 7 months ago
• IBM / ColPret
  Efficient Scaling laws and collaborative pretraining.
  ☆18Updated last month
• sail-sg / dice
  Official implementation of Bootstrapping Language Models via DPO Implicit Rewards
  ☆44Updated 7 months ago
• lingo-mit / lm-truthfulness
  ☆17Updated last year
• katiekang1998 / reasoning_generalization
  ☆33Updated 10 months ago
• janphilippfranken / sami
  Self-Supervised Alignment with Mutual Information
  ☆21Updated last year
• epfml / schedules-and-scaling
  Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"
  ☆85Updated last year
• john-hewitt / implicit-ins
  Codebase for Instruction Following without Instruction Tuning
  ☆36Updated last year
• qcznlp / uncertainty_attack
  ☆21Updated 2 months ago
• MadryLab / DsDm
  ☆51Updated last year
• sail-sg / SkyLadder
  The official repository for SkyLadder: Better and Faster Pretraining via Context Window Scheduling
  ☆40Updated last month
• eth-lre / LLM_ICL
  ACL24
  ☆10Updated last year
• ahans30 / goldfish-loss
  [NeurIPS 2024] Goldfish Loss: Mitigating Memorization in Generative LLMs
  ☆92Updated 11 months ago
• googleinterns / localizing-paragraph-memorization
  ☆15Updated last year
• hamishivi / automated-instruction-selection
  Exploration of automated dataset selection approaches at large scales.
  ☆48Updated 8 months ago
• jiahai-feng / binding-iclr
  ☆16Updated last year
• ablghtianyi / ICL_Modular_Arithmetic
  ☆19Updated 7 months ago
• GSYfate / knnlm-limits
  Official code repo for paper "Great Memory, Shallow Reasoning: Limits of kNN-LMs"
  ☆24Updated 6 months ago
• dangxingyu / rnn-icrag
  Official repository of paper "RNNs Are Not Transformers (Yet): The Key Bottleneck on In-context Retrieval"
  ☆27Updated last year
• haotiansun14 / BBox-Adapter
  Lightweight Adapting for Black-Box Large Language Models
  ☆24Updated last year
• adamkarvonen / SAE_BoardGameEval
  ☆23Updated 9 months ago
• wzq016 / PINE
  Offcial Repo of Paper "Eliminating Position Bias of Language Models: A Mechanistic Approach""
  ☆19Updated 5 months ago
• allenai / easy-to-hard-generalization
  Code for the arXiv preprint "The Unreasonable Effectiveness of Easy Training Data"
  ☆48Updated last year
• ctlllll / reward_collapse
  ☆27Updated 2 years ago
• DeqingFu / transformers-icl-second-order
  Official repository for our paper, Transformers Learn Higher-Order Optimization Methods for In-Context Learning: A Study with Linear Mode…
  ☆19Updated 11 months ago
• RobertCsordas / moeut
  ☆87Updated last year