StevenYuan666 / Awesome-Diffusion-Models-for-NLPLinks
π° Must-read papers on Diffusion Models for Text Generation π₯
β18Updated last year
Alternatives and similar repositories for Awesome-Diffusion-Models-for-NLP
Users that are interested in Awesome-Diffusion-Models-for-NLP are comparing it to the libraries listed below
Sorting:
- Official implementation for the paper "A Cheaper and Better Diffusion Language Model with Soft-Masked Noise"β59Updated 2 years ago
- Text Diffusion Model with Encoder-Decoder Transformers for Sequence-to-Sequence Generation [NAACL 2024]β98Updated 2 years ago
- β25Updated 2 months ago
- β34Updated 2 years ago
- The official codebase for "Empowering Diffusion Models on the Embedding Space for Text Generation" (NAACL 2024)β55Updated last year
- [IJCAI'23] The official Github page of the paper "Diffusion Models for Non-autoregressive Text Generation: A Survey".β31Updated last year
- Semi-autoregressive Simplex-based Diffusion Language Model for Text Generation and Modular Controlβ75Updated 2 years ago
- Reparameterized Discrete Diffusion Models for Text Generationβ101Updated 2 years ago
- Offical code of the paper Large Language Models Are Implicitly Topic Models: Explaining and Finding Good Demonstrations for In-Context Leβ¦β75Updated last year
- [IJCAI'23] The official Github page of the paper "Diffusion Models for Non-autoregressive Text Generation: A Survey".β59Updated last year
- β28Updated last year
- Auto get diffusion nlp papers in Axriv. More papers Information can be found in another repository "Diffusion-LM-Papers".β187Updated this week
- [NeurIPS 2024] Code and Data Repo for Paper "Embedding Trajectory for Out-of-Distribution Detection in Mathematical Reasoning"β27Updated last year
- β14Updated 11 months ago
- β141Updated last year
- In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation (ICML 2024)β61Updated last year
- [NeurIPS 2024] Official code of $\beta$-DPO: Direct Preference Optimization with Dynamic $\beta$β49Updated 11 months ago
- [ACL 2024] Self-Training with Direct Preference Optimization Improves Chain-of-Thought Reasoningβ51Updated last year
- Code for paper "Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning"β83Updated last year
- β24Updated 4 months ago
- [ACL'24] Beyond One-Preference-Fits-All Alignment: Multi-Objective Direct Preference Optimizationβ88Updated last year
- Models, data, and codes for the paper: MetaAligner: Towards Generalizable Multi-Objective Alignment of Language Modelsβ24Updated last year
- [NeurIPS'24] Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Modelsβ62Updated 10 months ago
- β129Updated 7 months ago
- [ICLR 2024]EMO: Earth Mover Distance Optimization for Auto-Regressive Language Modeling(https://arxiv.org/abs/2310.04691)β125Updated last year
- [NeurIPS 2024] Code for the paper "Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language Models"β181Updated 7 months ago
- Directional Preference Alignmentβ57Updated last year
- β15Updated last year
- [AAAI 2024] DenoSent: A Denoising Objective for Self-Supervised Sentence Representation Learningβ15Updated last year
- A trainable user simulatorβ34Updated 3 months ago