Found 29 repositories(showing 29)
facebookresearch
A python tool for evaluating the quality of sentence embeddings.
comptechml
No description available
AndreaCossu
Code to reproduce experiments from the paper "Continual Pre-Training Mitigates Forgetting in Language and Vision" https://arxiv.org/abs/2205.09357
sileod
Discourse Based Evaluation of Language Understanding
Fair quantitative comparison of NLP embeddings from GloVe to RoBERTa with Sequential Bayesian Optimization fine-tuning using Flair and SentEval. Extension of HyperOpt library to log_b priors.
DolbyUUU
Reinforcement Calibration SimCSE, combining contrastive learning, artificial potential fields, perceptual loss, and RLHF to achieve improved Semantic Textual Similarity (STS) embeddings. PyTorch-based implementations of PerceptualBERT and ForceBasedInfoNCE, along with fine-tuning capabilities via RLHF and evaluation using SentEval.
thisisclement
STS-Benchmark is a helper library that evaluates Sentence Transformer Models for Semantic Textual Similarity tasks.
gaotianyu1350
No description available
sileod
Composition of embeddings
ulysses-camara
Benchmark for assessing contextual-semantic sentence models in Brazilian legal domain.
evanozaroff
Evaluation of Large Language Model Sentence Embeddings with SentEval, (CS6120 Spring 2023) Amritanj Ayush, Evan Ozaroff, Parisa Torshizi
applicaai
No description available
kaniblu
Pytorch-skipthoughts evaluation code for SentEval
Basically SentEval with German language downstream tasks
DATEXIS
No description available
harshiltyagi
No description available
RohinV
This repository contains the code for a Universal Dependencies parser to create probing datasets, based on SentEval.
mousa2411
senteval
nlp-lab-dr-lu
No description available
saifkhan-m
No description available
HUSTLyn
No description available
jklj077
No description available
dshubenok
No description available
JinwooPark0109
No description available
JohnGiorgi
A simple and extensible package for evaluating models against the SentEval benchmark.
orgTestCodacy11KRepos110MB
No description available
gerardPlanella
Implementation of different Sentence Encoders trained on Natural Language Inference and evaluated on unseen tasks through Meta's SentEval framework.
sebastiaan-john
Advanced Topics in Computational Semantics (ATCS) - Practical 1
bmanczak
In this repo I reproduce the sentence encoders from the paper "Supervised Learning of Universal Sentence Representations from Natural Language Inference Data" by Conneau et al. (2017) and evaluate then on SentEval testing framework.
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