Alternatives and similar repositories for composable-interventions

Users that are interested in composable-interventions are comparing it to the libraries listed below

• MadryLab / DsDm
  ☆51Updated last year
• maszhongming / ParaKnowTransfer
  Code for "Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective"
  ☆33Updated last year
• peterljq / Parsimonious-Concept-Engineering
  PaCE: Parsimonious Concept Engineering for Large Language Models (NeurIPS 2024)
  ☆41Updated last year
• UCSB-NLP-Chang / llm_uncertainty
  ☆41Updated last year
• facebookresearch / ModelRatatouille
  Recycling diverse models
  ☆46Updated 3 years ago
• haotiansun14 / BBox-Adapter
  Lightweight Adapting for Black-Box Large Language Models
  ☆24Updated last year
• zzwjames / FailureLLMUnlearning
  An official implementation of "Catastrophic Failure of LLM Unlearning via Quantization" (ICLR 2025)
  ☆35Updated 10 months ago
• jiahai-feng / binding-iclr
  ☆16Updated last year
• hamishivi / automated-instruction-selection
  Exploration of automated dataset selection approaches at large scales.
  ☆53Updated 10 months ago
• activatedgeek / calibration-tuning
  ☆52Updated 9 months ago
• probabilistic-inference-scaling / probabilistic-inference-scaling
  ☆52Updated 10 months ago
• shuoli90 / Rank-Calibration
  This is the repo for constructing a comprehensive and rigorous evaluation framework for LLM calibration.
  ☆13Updated last year
• princeton-nlp / unintentional-unalignment
  [ICLR 2025] Unintentional Unalignment: Likelihood Displacement in Direct Preference Optimization
  ☆32Updated 2 weeks ago
• katiekang1998 / reasoning_generalization
  ☆33Updated last year
• formll / resolving-scaling-law-discrepancies
  ☆20Updated 2 months ago
• Thartvigsen / GRACE
  [NeurIPS'23] Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors
  ☆82Updated last year
• snap-stanford / optimas
  Optimize Any User-defined Compound AI Systems
  ☆66Updated 5 months ago
• tml-epfl / icl-alignment
  Is In-Context Learning Sufficient for Instruction Following in LLMs? [ICLR 2025]
  ☆32Updated 11 months ago
• matchten / LoRA-Models-for-SAEs
  Code for reproducing our paper "Low Rank Adapting Models for Sparse Autoencoder Features"
  ☆17Updated 9 months ago
• tatsu-lab / test_set_contamination
  ☆41Updated 2 years ago
• GXimingLu / IPA
  Codebase for Inference-Time Policy Adapters
  ☆24Updated 2 years ago
• stellalisy / mediQ
  ☆36Updated 11 months ago
• jonhue / activeft
  PyTorch library for Active Fine-Tuning
  ☆96Updated 3 months ago
• bpwu1 / confidence-regulation-neurons
  Confidence Regulation Neurons in Language Models (NeurIPS 2024)
  ☆15Updated 11 months ago
• sail-sg / Cheating-LLM-Benchmarks
  [ICLR 2025] Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Rates (Oral)
  ☆84Updated last year
• yfqiu-nlp / sea-llm
  Code for the paper "Spectral Editing of Activations for Large Language Model Alignments"
  ☆29Updated last year
• socialfoundations / tttlm
  Test-time-training on nearest neighbors for large language models
  ☆49Updated last year
• zlin7 / UQ-NLG
  ☆103Updated last year
• jinhaoduan / SAR
  [ACL 2024] Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models
  ☆60Updated last year
• nathanhu0 / CaMeLS
  Codebase for Context-aware Meta-learned Loss Scaling (CaMeLS). https://arxiv.org/abs/2305.15076.
  ☆25Updated last year