Alternatives and similar repositories for Next-Token-Failures:

Users that are interested in Next-Token-Failures are comparing it to the libraries listed below

• HKUNLP / diffusion-vs-ar
  [ICLR 2025] Code for the paper "Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning"
  ☆34Updated 2 weeks ago
• RLHFlow / Directional-Preference-Alignment
  Directional Preference Alignment
  ☆56Updated 5 months ago
• Edward-Sun / easy-to-hard
  Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision
  ☆118Updated 5 months ago
• activatedgeek / calibration-tuning
  ☆45Updated 6 months ago
• haozheji / exact-optimization
  ICML 2024 - Official Repository for EXO: Towards Efficient Exact Optimization of Language Model Alignment
  ☆50Updated 8 months ago
• yegcjs / DiffusionLLM
  Code for paper "Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning"
  ☆67Updated last year
• PKU-ML / LongPPL
  ☆37Updated last week
• hkust-nlp / llm-compression-intelligence
  Official github repo for the paper "Compression Represents Intelligence Linearly" [COLM 2024]
  ☆130Updated 5 months 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…
  ☆38Updated last month
• sail-sg / scaling-with-vocab
  [NeurIPS-2024] 📈 Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies https://arxiv.org/abs/2407.13623
  ☆80Updated 5 months ago
• roeehendel / icl_task_vectors
  ☆89Updated last year
• jihoontack / MAC
  Online Adaptation of Language Models with a Memory of Amortized Contexts (NeurIPS 2024)
  ☆61Updated 7 months ago
• microsoft / SparseMixer
  Sparse Backpropagation for Mixture-of-Expert Training
  ☆28Updated 8 months ago
• RZFan525 / Awesome-ScalingLaws
  A curated list of awesome resources dedicated to Scaling Laws for LLMs
  ☆70Updated last year
• igul222 / plaid
  ☆88Updated last year
• thu-ml / Noise-Contrastive-Alignment
  Code accompanying the paper "Noise Contrastive Alignment of Language Models with Explicit Rewards" (NeurIPS 2024)
  ☆46Updated 3 months ago
• mlfoundations / scaling
  Language models scale reliably with over-training and on downstream tasks
  ☆96Updated 11 months ago
• sail-sg / dice
  Official implementation of Bootstrapping Language Models via DPO Implicit Rewards
  ☆42Updated 7 months ago
• VITA-Group / Random-MoE-as-Dropout
  [ICLR 2023] "Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers" by Tianlong Chen*, Zhenyu Zhang*, Ajay Jaiswal…
  ☆48Updated 2 years ago
• facebookresearch / RLCD
  Reproduction of "RLCD Reinforcement Learning from Contrast Distillation for Language Model Alignment
  ☆66Updated last year
• HKUNLP / diffusion-of-thoughts
  [NeurIPS 2024] Code for the paper "Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language Models"
  ☆115Updated last year
• mega002 / ff-layers
  The accompanying code for "Transformer Feed-Forward Layers Are Key-Value Memories". Mor Geva, Roei Schuster, Jonathan Berant, and Omer Le…
  ☆89Updated 3 years ago
• princeton-nlp / LM-Kernel-FT
  A Kernel-Based View of Language Model Fine-Tuning https://arxiv.org/abs/2210.05643
  ☆74Updated last year
• sjelassi / transformers_ssm_copy
  ☆30Updated last year
• Leooyii / LCEG
  Long Context Extension and Generalization in LLMs
  ☆50Updated 5 months ago
• McGill-NLP / VinePPO
  Code for the paper "VinePPO: Unlocking RL Potential For LLM Reasoning Through Refined Credit Assignment"
  ☆126Updated 3 months ago
• princeton-nlp / Edge-Pruning
  [NeurIPS 2024 Spotlight] Code and data for the paper "Finding Transformer Circuits with Edge Pruning".
  ☆47Updated 2 months ago
• MadryLab / DsDm
  ☆46Updated last year
• swj0419 / in-context-pretraining
  ☆47Updated 10 months ago
• Dereck0602 / Awesome_Test_Time_LLMs
  ☆71Updated this week