Fluency ENhanced Sentence-bert Evaluation (FENSE), metric for audio caption evaluation. And Benchmark dataset AudioCaps-Eval, Clotho-Eval.
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ViLMA: A Zero-Shot Benchmark for Linguistic and Temporal Grounding in Video-Language Models (ICLR...
CoNeTTE: An efficient Audio Captioning system leveraging multiple datasets with Task Embedding
Using LLMs and pre-trained caption models for super-human performance on image captioning.
Official github repo for C-Eval, a Chinese evaluation suite for foundation models [NeurIPS 2023]
Code for NAACL 2024 main conference paper "An Empirical Study of Consistency Regularization for E...
Contrastive Language-Audio Pretraining
Official repository of OFA (ICML 2022). Paper: OFA: Unifying Architectures, Tasks, and Modalities...
Official implementation of "Separate Anything You Describe"
Code accompanying the paper Pretraining Language Models with Human Preferences
A python tool for evaluating the quality of sentence embeddings.
[EMNLP 2021] SimCSE: Simple Contrastive Learning of Sentence Embeddings https://arxiv.org/abs/210...
Basically SentEval with German language downstream tasks
Official implementation for "Multimodal Chain-of-Thought Reasoning in Language Models" (stay tune...
text2vec, text to vector. 文本向量表征工具,把文本转化为向量矩阵,实现了Word2Vec、RankBM25、Sentence-BERT、CoSENT等文本表征、文本相似...
Metrics for evaluating Automated Audio Captioning systems, designed for PyTorch.