Alternatives and similar repositories for Remarkable-Robustness-of-LLMs

Users that are interested in Remarkable-Robustness-of-LLMs are comparing it to the libraries listed below

• tianyang-x / SaySelf
  Public code repo for paper "SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales"
  ☆109Updated last year
• ConsequentAI / fneval
  Functional Benchmarks and the Reasoning Gap
  ☆90Updated last year
• arcee-ai / DAM
  ☆55Updated last year
• felipemaiapolo / tinyBenchmarks
  Evaluating LLMs with fewer examples
  ☆168Updated last year
• katiekang1998 / reasoning_generalization
  ☆33Updated 10 months ago
• ContextualAI / CLAIR_and_APO
  Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in Alignment
  ☆60Updated last year
• cmu-l3 / neurips2024-inference-tutorial-code
  NeurIPS 2024 tutorial on LLM Inference
  ☆47Updated 11 months ago
• salesforce / summary-of-a-haystack
  Codebase accompanying the Summary of a Haystack paper.
  ☆79Updated last year
• ahans30 / goldfish-loss
  [NeurIPS 2024] Goldfish Loss: Mitigating Memorization in Generative LLMs
  ☆92Updated last year
• r-three / phatgoose
  Code for PHATGOOSE introduced in "Learning to Route Among Specialized Experts for Zero-Shot Generalization"
  ☆91Updated last year
• yidingjiang / ado
  The repository contains code for Adaptive Data Optimization
  ☆28Updated 11 months ago
• csinva / tree-prompt
  Tree prompting: easy-to-use scikit-learn interface for improved prompting.
  ☆40Updated 2 years ago
• para-lost / ReBase
  ReBase: Training Task Experts through Retrieval Based Distillation
  ☆29Updated 9 months ago
• stanfordnlp / axbench
  Stanford NLP Python library for benchmarking the utility of LLM interpretability methods
  ☆145Updated 5 months ago
• HazyResearch / aioli
  Aioli: A unified optimization framework for language model data mixing
  ☆31Updated 10 months ago
• JoshEngels / MultiDimensionalFeatures
  Code for reproducing our paper "Not All Language Model Features Are Linear"
  ☆84Updated last year
• 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
• KihoPark / LLM_Categorical_Hierarchical_Representations
  ☆111Updated 9 months ago
• JacobPfau / fillerTokens
  ☆75Updated last year
• microsoft / mechanistic-error-probe
  A mechanistic approach for understanding and detecting factual errors of large language models.
  ☆48Updated last year
• probabilistic-inference-scaling / probabilistic-inference-scaling
  ☆52Updated 8 months ago
• neelsjain / BYOD
  The Official Repository for "Bring Your Own Data! Self-Supervised Evaluation for Large Language Models"
  ☆107Updated 2 years ago
• ckkissane / crosscoder-model-diff-replication
  Open source replication of Anthropic's Crosscoders for Model Diffing
  ☆62Updated last year
• KaiNylund / lm-weights-encode-time
  ☆69Updated last year
• casmlab / NPHardEval
  Repository for NPHardEval, a quantified-dynamic benchmark of LLMs
  ☆61Updated last year
• dmis-lab / Monet
  [ICLR 2025] Monet: Mixture of Monosemantic Experts for Transformers
  ☆73Updated 5 months ago
• wesg52 / universal-neurons
  Universal Neurons in GPT2 Language Models
  ☆31Updated last year
• allenai / infinigram-api
  ☆87Updated this week
• tigerchen52 / awesome_role_of_small_models
  a curated list of the role of small models in the LLM era
  ☆110Updated last year
• luyug / magix
  Supercharge huggingface transformers with model parallelism.
  ☆77Updated 4 months ago