Suikasxt / PMGLinks
The repository of paper Personalized Multimodal Response Generation with Large Language Models
☆14Updated last year
Alternatives and similar repositories for PMG
Users that are interested in PMG are comparing it to the libraries listed below
Sorting:
- Diffusion Models for Generative Outfit Recommendation☆28Updated 10 months ago
- [ICLR 2024] Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond☆20Updated last year
- SynthRL: Scaling Visual Reasoning with Verifiable Data Synthesis☆59Updated last month
- The official code for paper "EasyGen: Easing Multimodal Generation with a Bidirectional Conditional Diffusion Model and LLMs"☆74Updated 7 months ago
- Official implementation for "MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation?"☆46Updated last month
- Awesome Papers Using Vector Quantization for Recommender Systems (VQ4Rec)☆36Updated last year
- ☆147Updated 10 months ago
- [IJCAI'23] The official Github page of the paper "Diffusion Models for Non-autoregressive Text Generation: A Survey".☆31Updated last year
- The this is the official implementation of "DAPE: Data-Adaptive Positional Encoding for Length Extrapolation"☆38Updated 9 months ago
- ACL'2025: SoftCoT: Soft Chain-of-Thought for Efficient Reasoning with LLMs. and preprint: SoftCoT++: Test-Time Scaling with Soft Chain-of…☆31Updated last month
- An Efficient LLM Fine-Tuning Factory Optimized for MoE PEFT☆106Updated 4 months ago
- Codes for Merging Large Language Models☆32Updated 11 months ago
- PyTorch implementation of StableMask (ICML'24)☆13Updated last year
- State-of-the-art Parameter-Efficient MoE Fine-tuning Method☆168Updated 10 months ago
- Official implementation of "DoRA: Weight-Decomposed Low-Rank Adaptation"☆124Updated last year
- Official code for our paper, "LoRA-Pro: Are Low-Rank Adapters Properly Optimized? "☆126Updated 3 months ago
- LMM solved catastrophic forgetting, AAAI2025☆44Updated 3 months ago
- Data distillation benchmark☆66Updated last month
- A generalized framework for subspace tuning methods in parameter efficient fine-tuning.☆147Updated 2 weeks ago
- Official PyTorch implementation of DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs (ICML 2025 Oral)☆29Updated 2 weeks ago
- Parameter-Efficient Fine-Tuning for Foundation Models☆73Updated 3 months ago
- ☆108Updated last year
- [NeurIPS 2024] Official code of $\beta$-DPO: Direct Preference Optimization with Dynamic $\beta$☆45Updated 8 months ago
- [NeurIPS 2024] Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching☆107Updated last year
- [ICLR 2024] This is the repository for the paper titled "DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning"☆95Updated last year
- Awesome Learn From Model Beyond Fine-Tuning: A Survey☆69Updated 7 months ago
- [MM2024, oral] "Self-Supervised Visual Preference Alignment" https://arxiv.org/abs/2404.10501☆56Updated 11 months ago
- [NeurIPS 2023] Bootstrapping Vision-Language Learning with Decoupled Language Pre-training☆25Updated last year
- [ICML 2025] Fourier Position Embedding: Enhancing Attention’s Periodic Extension for Length Generalization☆75Updated last month
- [NeurIPS2023] Official code of "Understanding Contrastive Learning via Distributionally Robust Optimization"☆40Updated last year