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

• HazyResearch / aioli
  Aioli: A unified optimization framework for language model data mixing
  ☆31Updated 11 months ago
• tianyang-x / SaySelf
  Public code repo for paper "SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales"
  ☆111Updated last year
• r-three / phatgoose
  Code for PHATGOOSE introduced in "Learning to Route Among Specialized Experts for Zero-Shot Generalization"
  ☆91Updated last year
• dmis-lab / Monet
  [ICLR 2025] Monet: Mixture of Monosemantic Experts for Transformers
  ☆74Updated 5 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
• ContextualAI / CLAIR_and_APO
  Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in Alignment
  ☆60Updated last year
• ConsequentAI / fneval
  Functional Benchmarks and the Reasoning Gap
  ☆90Updated last year
• JacobPfau / fillerTokens
  ☆75Updated last year
• cmu-l3 / neurips2024-inference-tutorial-code
  NeurIPS 2024 tutorial on LLM Inference
  ☆47Updated last year
• arcee-ai / DAM
  ☆55Updated last year
• JoshEngels / MultiDimensionalFeatures
  Code for reproducing our paper "Not All Language Model Features Are Linear"
  ☆84Updated last year
• bespokelabsai / verifiers
  Verifiers for LLM Reinforcement Learning
  ☆80Updated 8 months ago
• allenai / infinigram-api
  ☆88Updated last week
• ahans30 / goldfish-loss
  [NeurIPS 2024] Goldfish Loss: Mitigating Memorization in Generative LLMs
  ☆93Updated last year
• csinva / tree-prompt
  Tree prompting: easy-to-use scikit-learn interface for improved prompting.
  ☆40Updated 2 years ago
• LLM360 / k2-train
  ☆52Updated last year
• salesforce / summary-of-a-haystack
  Codebase accompanying the Summary of a Haystack paper.
  ☆79Updated last year
• yidingjiang / ado
  The repository contains code for Adaptive Data Optimization
  ☆30Updated last year
• hughbzhang / o1_inference_scaling_laws
  Replicating O1 inference-time scaling laws
  ☆91Updated last year
• felipemaiapolo / tinyBenchmarks
  Evaluating LLMs with fewer examples
  ☆170Updated last year
• GAIR-NLP / scaleeval
  Scalable Meta-Evaluation of LLMs as Evaluators
  ☆43Updated last year
• kanishkg / stream-of-search
  Repository for the paper Stream of Search: Learning to Search in Language
  ☆152Updated 10 months ago
• para-lost / ReBase
  ReBase: Training Task Experts through Retrieval Based Distillation
  ☆29Updated 10 months ago
• casmlab / NPHardEval
  Repository for NPHardEval, a quantified-dynamic benchmark of LLMs
  ☆61Updated last year
• tigerchen52 / awesome_role_of_small_models
  a curated list of the role of small models in the LLM era
  ☆111Updated last year
• mlfoundations / scaling
  Language models scale reliably with over-training and on downstream tasks
  ☆100Updated last year
• hamishivi / automated-instruction-selection
  Exploration of automated dataset selection approaches at large scales.
  ☆51Updated 9 months ago
• probabilistic-inference-scaling / probabilistic-inference-scaling
  ☆52Updated 9 months ago
• SalesforceAIResearch / LaTRO
  ☆125Updated 9 months ago
• RobertCsordas / moeut
  ☆89Updated last year