Alternatives and similar repositories for Awesome-Text-Diffusion-Models

Users that are interested in Awesome-Text-Diffusion-Models are comparing it to the libraries listed below

• xhan77 / ssd-lm
  Semi-autoregressive Simplex-based Diffusion Language Model for Text Generation and Modular Control
  ☆75Updated 3 years ago
• Yuanhy1997 / SeqDiffuSeq
  Text Diffusion Model with Encoder-Decoder Transformers for Sequence-to-Sequence Generation [NAACL 2024]
  ☆98Updated 2 years ago
• XiangLi1999 / ContrastiveDecoding
  contrastive decoding
  ☆205Updated 3 years ago
• princeton-nlp / CEPE
  [ACL 2024] Long-Context Language Modeling with Parallel Encodings
  ☆167Updated last year
• yegcjs / DINOISER
  ☆25Updated 5 months ago
• ZeroYuHuang / Transformer-Patcher
  ☆32Updated 2 years ago
• IndexFziQ / Diffusion4NLP-Papers
  A paper list about diffusion models for natural language processing.
  ☆182Updated 2 years ago
• LitterBrother-Xiao / Overview-of-Non-autoregressive-Applications
  ☆187Updated last year
• DRSY / EMO
  [ICLR 2024]EMO: Earth Mover Distance Optimization for Auto-Regressive Language Modeling(https://arxiv.org/abs/2310.04691)
  ☆128Updated last year
• zhjgao / difformer
  The official codebase for "Empowering Diffusion Models on the Embedding Space for Text Generation" (NAACL 2024)
  ☆55Updated last year
• TsinghuaC3I / Intuitive-Fine-Tuning
  [ACL 2025, Main Conference, Oral] Intuitive Fine-Tuning: Towards Simplifying Alignment into a Single Process
  ☆30Updated last year
• guangyliu / LatentOps
  Source code of LatentOps
  ☆78Updated 2 years ago
• guanzhchen / PETuning
  ☆34Updated 2 years ago
• Hzfinfdu / Diffusion-BERT
  ACL'2023: DiffusionBERT: Improving Generative Masked Language Models with Diffusion Models
  ☆339Updated last year
• thu-coai / DA-Transformer
  Official Implementation for the ICML2022 paper "Directed Acyclic Transformer for Non-Autoregressive Machine Translation"
  ☆132Updated 2 years ago
• amazon-science / masked-diffusion-lm
  Official implementation for the paper "A Cheaper and Better Diffusion Language Model with Soft-Masked Noise"
  ☆59Updated 2 years ago
• Shark-NLP / CoNT
  [NeurIPS'22 Spotlight] Data and code for our paper CoNT: Contrastive Neural Text Generation
  ☆153Updated 2 years ago
• yinzhangyue / SelfAware
  Do Large Language Models Know What They Don’t Know?
  ☆102Updated last year
• swj0419 / in-context-pretraining
  ☆55Updated last year
• qtli / GSM-Plus
  GSM-Plus: Data, Code, and Evaluation for Enhancing Robust Mathematical Reasoning in Math Word Problems.
  ☆64Updated last year
• HillZhang1999 / ICD
  Code & Data for our Paper "Alleviating Hallucinations of Large Language Models through Induced Hallucinations"
  ☆69Updated last year
• OpenMOSS / Say-I-Dont-Know
  [ICML'2024] Can AI Assistants Know What They Don't Know?
  ☆85Updated last year
• john-hewitt / backpacks-flash-attn
  The original Backpack Language Model implementation, a fork of FlashAttention
  ☆69Updated 2 years ago
• rosewang2008 / language_modeling_via_stochastic_processes
  Language modeling via stochastic processes. Oral @ ICLR 2022.
  ☆138Updated 2 years ago
• DAMO-NLP-SG / CLEX
  [ICLR 2024] CLEX: Continuous Length Extrapolation for Large Language Models
  ☆78Updated last year
• princeton-nlp / QuRating
  [ICML 2024] Selecting High-Quality Data for Training Language Models
  ☆197Updated 3 weeks ago
• gmftbyGMFTBY / Rep-Dropout
  [NeurIPS 2023] Repetition In Repetition Out: Towards Understanding Neural Text Degeneration from the Data Perspective
  ☆39Updated 2 years ago
• RZFan525 / Awesome-ScalingLaws
  A curated list of awesome resources dedicated to Scaling Laws for LLMs
  ☆80Updated 2 years ago
• machelreid / diffuser
  DiffusER: Discrete Diffusion via Edit-based Reconstruction (Reid, Hellendoorn & Neubig, 2022)
  ☆54Updated 4 months ago
• SparkJiao / dpo-trajectory-reasoning
  [EMNLP 2024] Source code for the paper "Learning Planning-based Reasoning with Trajectory Collection and Process Rewards Synthesizing".
  ☆83Updated 11 months ago