Alternatives and similar repositories for Learning-Parity-with-CoT

Users that are interested in Learning-Parity-with-CoT are comparing it to the libraries listed below

• kingdy2002 / SPA
  ☆24Updated 11 months ago
• aypan17 / latentqa
  ☆27Updated last month
• dynamical-inference / patchsae
  Implementation of PatchSAE as presented in "Sparse autoencoders reveal selective remapping of visual concepts during adaptation"
  ☆29Updated 2 months ago
• thu-ml / Adaptive-Sparse-Trainer
  Official implementation for "Pruning Large Language Models with Semi-Structural Adaptive Sparse Training" (AAAI 2025)
  ☆18Updated 6 months ago
• Guangxuan-Xiao / GSM8K-eval
  ☆55Updated 2 years ago
• jiah-li / magic
  The repo for paper: Exploiting the Index Gradients for Optimization-Based Jailbreaking on Large Language Models.
  ☆13Updated last year
• TUDa-HWAI / Basis_Sharing
  ☆18Updated last year
• WeiHuang05 / Awesome_Large_Foundation_Model_Theory
  Welcome to the 'In Context Learning Theory' Reading Group
  ☆30Updated last year
• VITA-Group / SEAL
  [COLM 2025] SEAL: Steerable Reasoning Calibration of Large Language Models for Free
  ☆50Updated 9 months ago
• stair-lab / mlhp
  ☆23Updated 3 months ago
• Trustworthy-ML-Lab / ThinkEdit
  [EMNLP 25] An effective and interpretable weight-editing method for mitigating overly short reasoning in LLMs, and a mechanistic study un…
  ☆16Updated 3 weeks ago
• alvin-zyl / CoLA
  Implementation of CoLA: Compute-Efficient Pre-Training of LLMs via Low-Rank Activation
  ☆25Updated 10 months ago
• krafton-ai / lexico
  KV cache compression via sparse coding
  ☆17Updated 2 months ago
• mbzuai-nlp / OpenFactCheck
  An Open-source Factuality Evaluation Demo for LLMs
  ☆19Updated 5 months ago
• dtch1997 / steering-bench
  Official codebase for "Analyzing the Generalization and Reliability of Steering Vectors"
  ☆19Updated last year
• siyan-zhao / ICL_decision_boundary
  official code for paper Probing the Decision Boundaries of In-context Learning in Large Language Models. https://arxiv.org/abs/2406.11233…
  ☆19Updated 5 months ago
• johnsutor / awesome-multi-agent-optimization
  A collection of papers and libraries for performing multi-agent optimization
  ☆16Updated 6 months ago
• Lingkai-Kong / RE-Control
  Code for paper: Aligning Large Language Models with Representation Editing: A Control Perspective
  ☆34Updated 11 months ago
• tmlr-group / G-effect
  [ICLR 2025] "Rethinking LLM Unlearning Objectives: A Gradient Perspective and Go Beyond"
  ☆15Updated 10 months ago
• YefanZhou / TempBalance
  [NeurIPS 2023 Spotlight] Temperature Balancing, Layer-wise Weight Analysis, and Neural Network Training
  ☆36Updated 9 months ago
• YangRui2015 / RiC
  Code for the ICML 2024 paper "Rewards-in-Context: Multi-objective Alignment of Foundation Models with Dynamic Preference Adjustment"
  ☆78Updated 7 months ago
• vl-rewardbench / VL_RewardBench
  ☆26Updated 5 months ago
• licong-lin / negative-preference-optimization
  ☆70Updated last year
• gortizji / tangent_task_arithmetic
  Source code of "Task arithmetic in the tangent space: Improved editing of pre-trained models".
  ☆108Updated 2 years ago
• domenicrosati / representation-noising
  Code to replicate the Representation Noising paper and tools for evaluating defences against harmful fine-tuning
  ☆23Updated last year
• ZO-Bench / ZO-LLM
  [ICML‘24] Official code for the paper "Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark ".
  ☆122Updated 6 months ago
• ykwon0407 / DataInf
  DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models (ICLR 2024)
  ☆79Updated last year
• srzer / MOD
  Official code for "Decoding-Time Language Model Alignment with Multiple Objectives".
  ☆29Updated last year
• apple / ml-dataset-decomposition
  Official repo of dataset-decomposition paper [NeurIPS 2024]
  ☆20Updated last year
• sail-sg / Attention-Sink
  [ICLR 2025] When Attention Sink Emerges in Language Models: An Empirical View (Spotlight)
  ☆151Updated 6 months ago