Alternatives and similar repositories for ICL_Modular_Arithmetic

Users that are interested in ICL_Modular_Arithmetic are comparing it to the libraries listed below

• formll / resolving-scaling-law-discrepancies
  ☆20Updated last month
• fangyuan-ksgk / selective-attention-transformer
  Unofficial Implementation of Selective Attention Transformer
  ☆18Updated last year
• katiekang1998 / reasoning_generalization
  ☆33Updated 11 months ago
• IBM / ColPret
  Efficient Scaling laws and collaborative pretraining.
  ☆19Updated 3 months ago
• uservan / ThinkPO
  ☆17Updated 4 months ago
• OpenMOSS / LongLLaDA
  [AAAI26] LongLLaDA: Unlocking Long Context Capabilities in Diffusion LLMs
  ☆48Updated 3 weeks ago
• VITA-Group / LoCoCo
  [ICML‘2024] "LoCoCo: Dropping In Convolutions for Long Context Compression", Ruisi Cai, Yuandong Tian, Zhangyang Wang, Beidi Chen
  ☆18Updated last year
• epfml / schedules-and-scaling
  Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"
  ☆86Updated last year
• sail-sg / SkyLadder
  The official repository for SkyLadder: Better and Faster Pretraining via Context Window Scheduling
  ☆40Updated 2 months ago
• RobertCsordas / moeut
  ☆91Updated last year
• imagination-research / lbt
  [NeurIPS 2024] Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study
  ☆57Updated last year
• yidingjiang / ado
  The repository contains code for Adaptive Data Optimization
  ☆30Updated last year
• zzwjames / FailureLLMUnlearning
  An official implementation of "Catastrophic Failure of LLM Unlearning via Quantization" (ICLR 2025)
  ☆35Updated 10 months ago
• mcleish7 / gemstone-scaling-laws
  Gemstones: A Model Suite for Multi-Faceted Scaling Laws (NeurIPS 2025)
  ☆30Updated 3 months ago
• matchten / LoRA-Models-for-SAEs
  Code for reproducing our paper "Low Rank Adapting Models for Sparse Autoencoder Features"
  ☆17Updated 8 months ago
• GuoTianYu2000 / Active-Dormant-Attention
  codes and plots for "Active-Dormant Attention Heads: Mechanistically Demystifying Extreme-Token Phenomena in LLMs"
  ☆10Updated 11 months ago
• peterljq / Parsimonious-Concept-Engineering
  PaCE: Parsimonious Concept Engineering for Large Language Models (NeurIPS 2024)
  ☆41Updated last year
• wmn-231314 / diffusion-data-constraint
  Official PyTorch implementation and models for paper "Diffusion Beats Autoregressive in Data-Constrained Settings". We find diffusion mod…
  ☆117Updated 2 months ago
• sail-sg / VeriFree
  Reinforcing General Reasoning without Verifiers
  ☆93Updated 6 months ago
• princeton-pli / what-makes-good-rm
  [NeurIPS 2025] What Makes a Reward Model a Good Teacher? An Optimization Perspective
  ☆41Updated 3 months ago
• mandyyyyii / east
  ☆20Updated 4 months ago
• hamishivi / automated-instruction-selection
  Exploration of automated dataset selection approaches at large scales.
  ☆51Updated 9 months ago
• complex-reasoning / RPG
  Official implementation of Regularized Policy Gradient (RPG) (https://arxiv.org/abs/2505.17508)
  ☆60Updated 2 months 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…
  ☆20Updated last year
• shangshang-wang / Resa
  Resa: Transparent Reasoning Models via SAEs
  ☆46Updated 3 months ago
• yuleiqin / RAIF
  A Recipe for Building LLM Reasoners to Solve Complex Instructions
  ☆29Updated 2 months ago
• g-luo / vlm_cross_modal_reps
  Official PyTorch Implementation for Vision-Language Models Create Cross-Modal Task Representations, ICML 2025
  ☆31Updated 7 months ago
• alessiodevoto / l2compress
  Code for the EMNLP24 paper "A simple and effective L2 norm based method for KV Cache compression."
  ☆17Updated last year
• sail-sg / feedback-conditional-policy
  Code for "Language Models Can Learn from Verbal Feedback Without Scalar Rewards"
  ☆55Updated 3 months ago
• JacobPfau / fillerTokens
  ☆75Updated last year