The Hallucination Problem of LLMs

Open-Domain Question Answering

A Primer on ODQA

Out-of-Distribution

Out-of-Distribution Detection in Deep Neural Networks

Selective Prediction

Improving Reliability of NLP Systems

Robustness

Robustness of Deep Learning Systems with a special focus on NLP

Domain Adaptation

Domain Adaptation for Sentiment Analysis

Conditional GANs

Step by Step Implementation of Conditional GANs

Semi-Supervised Learning

A Primer on Semi-Supervised Learning

Multi-task Learning

A Primer on Multi-task Learning

Few-Shot Learning

Training an ML model from a few examples: Few-Shot Learning

Performance Prediction

Can We Predict Performance of an NLP Model without Actually Training or Testing it?

Knowledge Distillation

A Primer on Knowledge Distillation in NLP

Natural Language Inference

Unsupervised NLI using PHL Triplet Generation

Instance-Level Analysis

ILDAE: Instance-Level Difficulty Analysis of Evaluation Data

Curriculum Learning

Let the Model Decide its Curriculum for Multitask Learning