Alternatives and similar repositories for diffusion-vs-ar

Users that are interested in diffusion-vs-ar are comparing it to the libraries listed below

• gregorbachmann / Next-Token-Failures
  ☆106Updated last year
• McGill-NLP / VinePPO
  Code for the paper "VinePPO: Unlocking RL Potential For LLM Reasoning Through Refined Credit Assignment"
  ☆181Updated 6 months ago
• GFNOrg / gfn-lm-tuning
  ☆185Updated last year
• shawntan / stickbreaking-attention
  Stick-breaking attention
  ☆61Updated 5 months ago
• igul222 / plaid
  ☆108Updated 2 years ago
• facebookresearch / iGSM
  The code for creating the iGSM datasets in papers "Physics of Language Models Part 2.1, Grade-School Math and the Hidden Reasoning Proces…
  ☆80Updated 10 months ago
• ryoungj / BoLT
  Code for "Reasoning to Learn from Latent Thoughts"
  ☆122Updated 8 months ago
• haozheji / exact-optimization
  ICML 2024 - Official Repository for EXO: Towards Efficient Exact Optimization of Language Model Alignment
  ☆57Updated last year
• facebookresearch / PhysicsLM4
  Physics of Language Models, Part 4
  ☆262Updated 4 months ago
• Parallel-Reasoning / APR
  [COLM 2025] Code for Paper: Learning Adaptive Parallel Reasoning with Language Models
  ☆134Updated 3 months ago
• thu-ml / Noise-Contrastive-Alignment
  Code accompanying the paper "Noise Contrastive Alignment of Language Models with Explicit Rewards" (NeurIPS 2024)
  ☆57Updated last year
• lucidrains / coconut-pytorch
  Implementation of 🥥 Coconut, Chain of Continuous Thought, in Pytorch
  ☆180Updated 5 months ago
• ScalingIntelligence / large_language_monkeys
  ☆109Updated last year
• sail-sg / VeriFree
  Reinforcing General Reasoning without Verifiers
  ☆92Updated 5 months ago
• SynthLabsAI / big-math
  A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models
  ☆68Updated 9 months ago
• wmn-231314 / diffusion-data-constraint
  Official PyTorch implementation and models for paper "Diffusion Beats Autoregressive in Data-Constrained Settings". We find diffusion mod…
  ☆109Updated last month
• epfml / schedules-and-scaling
  Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"
  ☆85Updated last year
• sail-sg / Precision-RL
  Defeating the Training-Inference Mismatch via FP16
  ☆159Updated 3 weeks ago
• HazyResearch / zoology
  Understand and test language model architectures on synthetic tasks.
  ☆240Updated 2 months ago
• jzhang38 / LongMamba
  Some preliminary explorations of Mamba's context scaling.
  ☆217Updated last year
• PKU-ML / LongPPL
  Code for ICLR 2025 Paper "What is Wrong with Perplexity for Long-context Language Modeling?"
  ☆105Updated last month
• mlfoundations / scaling
  Language models scale reliably with over-training and on downstream tasks
  ☆100Updated last year
• sail-sg / scaling-with-vocab
  [NeurIPS-2024] 📈 Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies https://arxiv.org/abs/2407.13623
  ☆89Updated last year
• berlino / seq_icl
  ☆53Updated last year
• Edward-Sun / gpt-accelera
  Simple and efficient pytorch-native transformer training and inference (batched)
  ☆78Updated last year
• Edward-Sun / easy-to-hard
  Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision
  ☆124Updated last year
• athms / mad-lab
  A MAD laboratory to improve AI architecture designs 🧪
  ☆135Updated 11 months ago
• RLHFlow / Directional-Preference-Alignment
  Directional Preference Alignment
  ☆58Updated last year
• holarissun / RewardModelingBeyondBradleyTerry
  official implementation of ICLR'2025 paper: Rethinking Bradley-Terry Models in Preference-based Reward Modeling: Foundations, Theory, and…
  ☆69Updated 8 months ago
• HKUNLP / DiffuLLaMA
  [ICLR2025] DiffuGPT and DiffuLLaMA: Scaling Diffusion Language Models via Adaptation from Autoregressive Models
  ☆341Updated 6 months ago