declare-lab / MM-InstructEvalLinks
This repository contains code to evaluate various multimodal large language models using different instructions across multiple multimodal content comprehension tasks.
☆31Updated 10 months ago
Alternatives and similar repositories for MM-InstructEval
Users that are interested in MM-InstructEval are comparing it to the libraries listed below
Sorting:
- NAACL 2022: MCSE: Multimodal Contrastive Learning of Sentence Embeddings☆58Updated last year
- Code for "Inducer-tuning: Connecting Prefix-tuning and Adapter-tuning" (EMNLP 2022) and "Empowering Parameter-Efficient Transfer Learning…☆11Updated 3 years ago
- Visual and Embodied Concepts evaluation benchmark☆21Updated 2 years ago
- About The corresponding code from our paper " Making Reasoning Matter: Measuring and Improving Faithfulness of Chain-of-Thought Reasoning…☆13Updated 3 weeks ago
- [ICLR 2024] This is the repository for the paper titled "DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning"☆101Updated last year
- ☆14Updated 2 years ago
- Code for "Small Models are Valuable Plug-ins for Large Language Models"☆132Updated 2 years ago
- Corpus to accompany: "Do Androids Laugh at Electric Sheep? Humor "Understanding" Benchmarks from The New Yorker Caption Contest"☆59Updated 10 months ago
- Code for EMNLP 2022 paper “Distilled Dual-Encoder Model for Vision-Language Understanding”☆31Updated 2 years ago
- PyTorch implementation of experiments in the paper Aligning Language Models with Human Preferences via a Bayesian Approach☆32Updated 2 years ago
- [Paperlist] Awesome paper list of multimodal dialog, including methods, datasets and metrics☆37Updated last year
- Code for ACL 2023 Paper: ACLM: A Selective-Denoising based Generative Data Augmentation Approach for Low-Resource Complex NER☆21Updated 2 years ago
- [COLING22] An End-to-End Library for Evaluating Natural Language Generation☆93Updated 2 years ago
- The code and data for "Summary-Oriented Vision Modeling for Multimodal Abstractive Summarization"☆11Updated 2 years ago
- Official code for the paper "PADA: Example-based Prompt Learning for on-the-fly Adaptation to Unseen Domains".☆51Updated 3 years ago
- [NAACL 2022] Contrastive Learning for Prompt-based Few-shot Language Learners☆22Updated 3 years ago
- Code for paper "UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning", ACL 2022☆63Updated 3 years ago
- The official GitHub page for paper "NegativePrompt: Leveraging Psychology for Large Language Models Enhancement via Negative Emotional St…☆24Updated last year
- ACL'2023: Multi-Task Pre-Training of Modular Prompt for Few-Shot Learning☆40Updated 3 years ago
- [Findings of EMNLP22] From Mimicking to Integrating: Knowledge Integration for Pre-Trained Language Models☆19Updated 2 years ago
- Source code and data used in the papers ViQuAE (Lerner et al., SIGIR'22), Multimodal ICT (Lerner et al., ECIR'23) and Cross-modal Retriev…☆38Updated last year
- Code and Data for the ACL22 main conference paper "MSCTD: A Multimodal Sentiment Chat Translation Dataset"☆45Updated last year
- code for promptCSE, emnlp 2022☆11Updated 2 years ago
- ACM MM '22: Unified Multi-modal Pre-training for Few-shot Sentiment Analysis with Prompt-based Learning☆18Updated 3 years ago
- The code for "Past, Present, and Future: Conversational Emotion Recognition through Structural Modeling of Psychological Commonsense Know…☆21Updated 3 years ago
- Recent Advances in Visual Dialog☆30Updated 3 years ago
- [NeurIPS 2022] Non-Linguistic Supervision for Contrastive Learning of Sentence Embeddings☆22Updated 3 years ago
- This is the oficial repository for "Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts" (EMNLP 2022)☆104Updated 3 years ago
- Code & Data for our Paper "Alleviating Hallucinations of Large Language Models through Induced Hallucinations"☆69Updated last year
- [ICML 2023] Code for our paper “Compositional Exemplars for In-context Learning”.☆102Updated 2 years ago