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 year
• fangyuan-ksgk / selective-attention-transformer
  Unofficial Implementation of Selective Attention Transformer
  ☆17Updated 8 months ago
• katiekang1998 / reasoning_generalization
  ☆33Updated 6 months ago
• IdoAmos / not-from-scratch
  ☆32Updated 8 months ago
• wzq016 / PINE
  Offcial Repo of Paper "Eliminating Position Bias of Language Models: A Mechanistic Approach""
  ☆14Updated last month
• uservan / ThinkPO
  ☆19Updated 4 months ago
• peterljq / Parsimonious-Concept-Engineering
  PaCE: Parsimonious Concept Engineering for Large Language Models (NeurIPS 2024)
  ☆38Updated 8 months ago
• zzwjames / FailureLLMUnlearning
  An official implementation of "Catastrophic Failure of LLM Unlearning via Quantization" (ICLR 2025)
  ☆27Updated 4 months ago
• epfml / schedules-and-scaling
  Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"
  ☆75Updated 8 months ago
• codezakh / DataEnvGym
  A testbed for agents and environments that can automatically improve models through data generation.
  ☆24Updated 4 months ago
• BY571 / SCoRe
  SCoRe: Training Language Models to Self-Correct via Reinforcement Learning
  ☆10Updated 5 months ago
• matchten / LoRA-Models-for-SAEs
  Code for reproducing our paper "Low Rank Adapting Models for Sparse Autoencoder Features"
  ☆11Updated 3 months ago
• sail-sg / VeriFree
  Reinforcing General Reasoning without Verifiers
  ☆71Updated 3 weeks ago
• mandyyyyii / east
  ☆20Updated 3 months ago
• RobertCsordas / moeut
  ☆82Updated 10 months ago
• dangxingyu / rnn-icrag
  Official repository of paper "RNNs Are Not Transformers (Yet): The Key Bottleneck on In-context Retrieval"
  ☆27Updated last year
• kyleliang919 / Online-Subspace-Descent
  [NeurIPS 2024] Low rank memory efficient optimizer without SVD
  ☆30Updated 2 weeks ago
• princeton-pli / what-makes-good-rm
  What Makes a Reward Model a Good Teacher? An Optimization Perspective
  ☆34Updated 2 weeks ago
• haotiansun14 / BBox-Adapter
  Lightweight Adapting for Black-Box Large Language Models
  ☆22Updated last year
• yidingjiang / ado
  The repository contains code for Adaptive Data Optimization
  ☆25Updated 7 months ago
• imagination-research / lbt
  [NeurIPS 2024] Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study
  ☆52Updated 7 months ago
• g-luo / vlm_cross_modal_reps
  Official PyTorch Implementation for Vision-Language Models Create Cross-Modal Task Representations, ICML 2025
  ☆27Updated 2 months ago
• NuoJohnChen / JudgeLRM
  ☆30Updated 3 months ago
• jiahai-feng / binding-iclr
  ☆14Updated last year
• alessiodevoto / l2compress
  Code for the EMNLP24 paper "A simple and effective L2 norm based method for KV Cache compression."
  ☆14Updated 7 months ago
• Shalev-Lifshitz / MultiAgentVerification
  Multi-Agent Verification: Scaling Test-Time Compute with Multiple Verifiers
  ☆19Updated 4 months ago
• ahans30 / goldfish-loss
  [NeurIPS 2024] Goldfish Loss: Mitigating Memorization in Generative LLMs
  ☆90Updated 7 months ago
• JacobPfau / fillerTokens
  ☆66Updated last year
• arnab-api / romba
  Applies ROME and MEMIT on Mamba-S4 models
  ☆14Updated last year
• probabilistic-inference-scaling / probabilistic-inference-scaling
  ☆51Updated 3 months ago