Alternatives and similar repositories for Explingo

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

• ahans30 / goldfish-loss
  [NeurIPS 2024] Goldfish Loss: Mitigating Memorization in Generative LLMs
  ☆94Updated last year
• googleinterns / localizing-paragraph-memorization
  ☆15Updated last year
• mcleish7 / gemstone-scaling-laws
  Gemstones: A Model Suite for Multi-Faceted Scaling Laws (NeurIPS 2025)
  ☆32Updated 4 months ago
• LoryPack / LLM-LieDetector
  Code for the ICLR 2024 paper "How to catch an AI liar: Lie detection in black-box LLMs by asking unrelated questions"
  ☆71Updated last year
• efarrell1 / train_sparse_autoencoder
  Trains Sparse Autoencoders based on outputs from language models
  ☆11Updated last year
• formll / resolving-scaling-law-discrepancies
  ☆20Updated 3 months ago
• Scarelette / CultureLLM
  ☆38Updated last year
• peterljq / Parsimonious-Concept-Engineering
  PaCE: Parsimonious Concept Engineering for Large Language Models (NeurIPS 2024)
  ☆42Updated 2 weeks ago
• stanford-crfm / air-bench-2024
  AIR-Bench 2024 is a safety benchmark that aligns with emerging government regulations and company policies
  ☆28Updated last year
• zzwjames / FailureLLMUnlearning
  An official implementation of "Catastrophic Failure of LLM Unlearning via Quantization" (ICLR 2025)
  ☆36Updated 11 months ago
• tml-epfl / icl-alignment
  Is In-Context Learning Sufficient for Instruction Following in LLMs? [ICLR 2025]
  ☆32Updated last year
• matchten / LoRA-Models-for-SAEs
  Code for reproducing our paper "Low Rank Adapting Models for Sparse Autoencoder Features"
  ☆17Updated 10 months ago
• arobey1 / advbench
  ☆44Updated 2 years ago
• thestephencasper / explore_establish_exploit_llms
  ☆31Updated 2 years ago
• skywalker023 / confaide
  🤫 Code and benchmark for our ICLR 2024 spotlight paper: "Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Con…
  ☆50Updated 2 years ago
• stanfordnlp / axbench
  Stanford NLP Python library for benchmarking the utility of LLM interpretability methods
  ☆163Updated 7 months ago
• pratyushmaini / llm_dataset_inference
  Official Repository for Dataset Inference for LLMs
  ☆43Updated last year
• HazyResearch / aioli
  Aioli: A unified optimization framework for language model data mixing
  ☆32Updated last year
• causalNLP / corr2cause
  Data and code for the Corr2Cause paper (ICLR 2024)
  ☆114Updated last year
• yihuaihong / ConceptVectors
  [EMNLP 2025 Main] ConceptVectors Benchmark and Code for the paper "Intrinsic Evaluation of Unlearning Using Parametric Knowledge Traces"
  ☆39Updated 5 months ago
• tianyang-x / SaySelf
  Public code repo for paper "SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales"
  ☆112Updated last year
• ShanglunFengatETHZ / PrivacyBackdoor
  Privacy backdoors
  ☆50Updated last year
• katiekang1998 / reasoning_generalization
  ☆33Updated last year
• JacksonWuxs / UsableXAI_LLM
  Using Explanations as a Tool for Advanced LLMs
  ☆69Updated last year
• zjunlp / ModelKinship
  Exploring Model Kinship for Merging Large Language Models
  ☆27Updated 9 months ago
• jiahai-feng / binding-iclr
  ☆16Updated last year
• princeton-nlp / Edge-Pruning
  [NeurIPS 2024 Spotlight] Code and data for the paper "Finding Transformer Circuits with Edge Pruning".
  ☆64Updated 5 months ago
• ml-jku / EVA
  One Initialization to Rule them All: Fine-tuning via Explained Variance Adaptation
  ☆46Updated 3 months ago
• tommasomncttn / mergenetic
  Flexible library for merging large language models (LLMs) via evolutionary optimization (ACL 2025 Demo).
  ☆98Updated 6 months ago
• yidingjiang / ado
  The repository contains code for Adaptive Data Optimization
  ☆32Updated last year