PIER

Here is a list of Papers I Enjoyed Reading

LinkBERT: Pretraining Language Models with Document Links

Is Cosine-Similarity of Embeddings Really About Similarity?

Deep Bidirectional Language-Knowledge Graph Pretraining

Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models

RITUAL: Random Image Transformations as a Universal Anti-hallucination Lever in LVLMs

Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling

Can a large language model be a gaslighter?

Poincaré Embeddings for Learning Hierarchical Representations