Alternatives and similar repositories for GPassK:

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

• john-hewitt / implicit-ins
  Codebase for Instruction Following without Instruction Tuning
  ☆34Updated 6 months ago
• DAMO-NLP-SG / LongPO
  [ICLR 2025] LongPO: Long Context Self-Evolution of Large Language Models through Short-to-Long Preference Optimization
  ☆31Updated last month
• wwxu21 / CUT
  Source code of "Reasons to Reject? Aligning Language Models with Judgments"
  ☆58Updated last year
• uscnlp-lime / safer-instruct
  This is the oficial repository for "Safer-Instruct: Aligning Language Models with Automated Preference Data"
  ☆17Updated last year
• Infini-AI-Lab / S2FT
  ☆16Updated 3 months ago
• fangyuan-ksgk / CoT-Reasoning-without-Prompting
  Unofficial Implementation of Chain-of-Thought Reasoning Without Prompting
  ☆32Updated last year
• chujiezheng / LLM-Extrapolation
  Official repository for paper "Weak-to-Strong Extrapolation Expedites Alignment"
  ☆74Updated 10 months ago
• ernie-research / Tool-Augmented-Reward-Model
  [ICLR'24 spotlight] Tool-Augmented Reward Modeling
  ☆47Updated 3 months ago
• WindyLee0822 / Process_Q_Model
  official implementation of paper "Process Reward Model with Q-value Rankings"
  ☆52Updated 2 months ago
• HKUNLP / critic-rl
  Code for Paper: Teaching Language Models to Critique via Reinforcement Learning
  ☆90Updated this week
• hamishivi / automated-instruction-selection
  Exploration of automated dataset selection approaches at large scales.
  ☆37Updated last month
• sail-sg / SkyLadder
  The official repository for SkyLadder: Better and Faster Pretraining via Context Window Scheduling
  ☆29Updated 3 weeks ago
• THUDM / T1
  Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling
  ☆101Updated 2 months ago
• Quehry / HelloBench
  HelloBench: Evaluating Long Text Generation Capabilities of Large Language Models
  ☆40Updated 4 months ago
• xufangzhi / phi-Decoding
  [Preprint] An inference-time decoding strategy with adaptive foresight sampling
  ☆88Updated this week
• GAIR-NLP / weak-to-strong-reasoning
  ☆59Updated 7 months ago
• zjunlp / unlearn
  Knowledge Unlearning for Large Language Models
  ☆25Updated last week
• GAIR-NLP / scaleeval
  Scalable Meta-Evaluation of LLMs as Evaluators
  ☆42Updated last year
• yale-nlp / refdpo
  ☆16Updated 8 months ago
• yyDing1 / ScaleQuest
  We introduce ScaleQuest, a scalable, novel and cost-effective data synthesis method to unleash the reasoning capability of LLMs.
  ☆61Updated 5 months ago
• SynthLabsAI / big-math
  A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models
  ☆46Updated last month
• RUCAIBox / BAMBOO
  ☆34Updated last year
• hkust-nlp / B-STaR
  B-STAR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners
  ☆75Updated last week
• GAIR-NLP / OlympicArena
  [NeurIPS 2024] OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AI
  ☆99Updated last month
• GAIR-NLP / MetaCritique
  Evaluate the Quality of Critique
  ☆34Updated 10 months ago
• YangLing0818 / SuperCorrect-llm
  [ICLR 2025] SuperCorrect: Advancing Small LLM Reasoning with Thought Template Distillation and Self-Correction
  ☆66Updated 3 weeks ago
• allenai / easy-to-hard-generalization
  Code for the arXiv preprint "The Unreasonable Effectiveness of Easy Training Data"
  ☆47Updated last year
• GAIR-NLP / AIME-Preview
  ☆56Updated last month
• dinobby / MAgICoRE
  ☆24Updated 6 months ago
• mathllm / MathCoder2
  ☆55Updated 5 months ago