Alternatives and similar repositories for NPHardEval

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

• Zayne-sprague / MuSR
  ☆44Updated 10 months ago
• allenai / easy-to-hard-generalization
  Code for the arXiv preprint "The Unreasonable Effectiveness of Easy Training Data"
  ☆48Updated last year
• architsharma97 / dpo-rlaif
  ☆97Updated 11 months ago
• MLE-Dojo / MLE-Dojo
  ☆53Updated last week
• yidingjiang / ado
  The repository contains code for Adaptive Data Optimization
  ☆25Updated 6 months ago
• ContextualAI / CLAIR_and_APO
  Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in Alignment
  ☆57Updated 9 months ago
• john-hewitt / implicit-ins
  Codebase for Instruction Following without Instruction Tuning
  ☆34Updated 9 months ago
• JacobPfau / fillerTokens
  ☆65Updated last year
• lmarena / PPE
  ☆48Updated last month
• ucl-dark / llm_debate
  Code release for "Debating with More Persuasive LLMs Leads to More Truthful Answers"
  ☆109Updated last year
• GAIR-NLP / OctoThinker
  Revisiting Mid-training in the Era of RL Scaling
  ☆56Updated 2 months ago
• hughbzhang / o1_inference_scaling_laws
  Replicating O1 inference-time scaling laws
  ☆87Updated 6 months ago
• tml-epfl / icl-alignment
  Is In-Context Learning Sufficient for Instruction Following in LLMs? [ICLR 2025]
  ☆30Updated 5 months ago
• nouhadziri / faith-and-fate
  ☆34Updated last year
• hkust-nlp / llm-compression-intelligence
  Official github repo for the paper "Compression Represents Intelligence Linearly" [COLM 2024]
  ☆138Updated 9 months ago
• sail-sg / SkyLadder
  The official repository for SkyLadder: Better and Faster Pretraining via Context Window Scheduling
  ☆32Updated 3 months ago
• hamishivi / EasyLM
  Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Fl…
  ☆75Updated 10 months ago
• cambridgeltl / PairS
  Aligning with Human Judgement: The Role of Pairwise Preference in Large Language Model Evaluators (Liu et al.; COLM 2024)
  ☆47Updated 5 months ago
• WHGTyen / BIG-Bench-Mistake
  A dataset of LLM-generated chain-of-thought steps annotated with mistake location.
  ☆81Updated 10 months ago
• GAIR-NLP / scaleeval
  Scalable Meta-Evaluation of LLMs as Evaluators
  ☆42Updated 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"
  ☆70Updated last year
• katiekang1998 / reasoning_generalization
  ☆32Updated 5 months ago
• hamishivi / automated-instruction-selection
  Exploration of automated dataset selection approaches at large scales.
  ☆45Updated 3 months ago
• SALT-NLP / demonstrated-feedback
  ☆123Updated 8 months ago
• mukhal / GRACE
  Discriminator-Guided Chain-of-Thought Reasoning
  ☆48Updated 8 months ago
• ars22 / scaling-LLM-math-synthetic-data
  Code and data used in the paper: "Training on Incorrect Synthetic Data via RL Scales LLM Math Reasoning Eight-Fold"
  ☆30Updated last year
• ryoungj / BoLT
  Code for "Reasoning to Learn from Latent Thoughts"
  ☆104Updated 2 months ago
• ScalingIntelligence / large_language_monkeys
  ☆96Updated 8 months ago
• martin-wey / CodeUltraFeedback
  CodeUltraFeedback: aligning large language models to coding preferences
  ☆71Updated last year
• sher222 / LeReT
  Learning to Retrieve by Trying - Source code for Grounding by Trying: LLMs with Reinforcement Learning-Enhanced Retrieval
  ☆39Updated 7 months ago