A Framework for Textual Entailment based Zero Shot text classification

pytorch implementation of various models for snli and mnli task

Implementation of models in our EMNLP 2019 paper: A Logic-Driven Framework for Consistency of Neural Models

Benchmarking various Deep Learning models such as BERT, ALBERT, BiLSTMs on the task of sentence entailment using two datasets - MultiNLI and SNLI.

Discourse Based Evaluation of Language Understanding

Implementation of the Character-level Intra Attention Network (CIAN) for Natural Language Inference (NLI) upon SNLI and MultiNLI corpus

An application that summarizes and classifies long text using zero-shot transfer-learning hosted on Huggingface spaces.

Deep Learning for NLP

Implementation of the semi-structured inference model in our ACL 2020 paper. INFOTABS: Inference on Tables as Semi-structured Data

Emotion detection microservice based on natural language inference

Implementation of models in our EMNLP 2019 paper: A Logic-Driven Framework for Consistency of Neural Models

Fine-tuning LLMs with LoRA

Taxonomic fragmentation of the NLI task. Data accompanying CoNLL 2020 paper titled "TaxiNLI: Taking a Ride up the NLU Hill"

roBERTa pretrained on NLI task

Adversarial evaluation of model performances [Updated]

LoRA's singular vector analysis and intruder dimensions

Model Evaluation using SNLI Development Set

Model Evaluation using WANLI Test Set

Model Evaluation using SuperGLUE Diagnostic Dataset