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
  ☆32Updated 11 months ago
• ConsequentAI / fneval
  Functional Benchmarks and the Reasoning Gap
  ☆90Updated last year
• tianyang-x / SaySelf
  Public code repo for paper "SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales"
  ☆112Updated last year
• salesforce / summary-of-a-haystack
  Codebase accompanying the Summary of a Haystack paper.
  ☆80Updated last year
• ContextualAI / CLAIR_and_APO
  Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in Alignment
  ☆62Updated last year
• arcee-ai / DAM
  ☆55Updated last year
• KaiNylund / lm-weights-encode-time
  ☆69Updated last year
• para-lost / ReBase
  ReBase: Training Task Experts through Retrieval Based Distillation
  ☆29Updated 11 months ago
• ahans30 / goldfish-loss
  [NeurIPS 2024] Goldfish Loss: Mitigating Memorization in Generative LLMs
  ☆94Updated last year
• r-three / phatgoose
  Code for PHATGOOSE introduced in "Learning to Route Among Specialized Experts for Zero-Shot Generalization"
  ☆90Updated last year
• ASTRAL-Group / LoRe
  When Reasoning Meets Its Laws
  ☆33Updated last week
• bespokelabsai / verifiers
  Verifiers for LLM Reinforcement Learning
  ☆80Updated 8 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
• jonhue / activeft
  PyTorch library for Active Fine-Tuning
  ☆95Updated 3 months ago
• JacobPfau / fillerTokens
  ☆75Updated last year
• yidingjiang / ado
  The repository contains code for Adaptive Data Optimization
  ☆30Updated last year
• felipemaiapolo / tinyBenchmarks
  Evaluating LLMs with fewer examples
  ☆170Updated last year
• csinva / tree-prompt
  Tree prompting: easy-to-use scikit-learn interface for improved prompting.
  ☆41Updated 2 years ago
• allenai / infinigram-api
  ☆92Updated 3 weeks ago
• katiekang1998 / reasoning_generalization
  ☆33Updated last year
• cmu-l3 / neurips2024-inference-tutorial-code
  NeurIPS 2024 tutorial on LLM Inference
  ☆47Updated last year
• ExtensityAI / benchmark
  Evaluation of neuro-symbolic engines
  ☆40Updated last year
• ZonglinY / MOOSE
  [ACL 2024] <Large Language Models for Automated Open-domain Scientific Hypotheses Discovery>. It has also received the best poster award …
  ☆42Updated last year
• hughbzhang / o1_inference_scaling_laws
  Replicating O1 inference-time scaling laws
  ☆91Updated last year
• GAIR-NLP / scaleeval
  Scalable Meta-Evaluation of LLMs as Evaluators
  ☆43Updated last year
• microsoft / mechanistic-error-probe
  A mechanistic approach for understanding and detecting factual errors of large language models.
  ☆49Updated last year
• mlfoundations / scaling
  Language models scale reliably with over-training and on downstream tasks
  ☆100Updated last year
• casmlab / NPHardEval
  Repository for NPHardEval, a quantified-dynamic benchmark of LLMs
  ☆62Updated last year
• ltgoslo / bert-in-context
  Official implementation of "BERTs are Generative In-Context Learners"
  ☆32Updated 9 months ago
• SALT-NLP / demonstrated-feedback
  ☆129Updated last year