How We Achieved Human Parity in CommonsenseQA — Fusing Knowledge into Language Models

AKBC 2020: Paper: CommonGen: A Constrained Text Generation Challenge for Generative Commonsense R...

自然言語処理の常識的推論講義 - Vered Shwartz 博士

Stanford CS25: V2 I Common Sense Reasoning

Pre-training Is (Almost) All You Need: An Application to Commonsense Reasoning (Paper Explained)

Mixtral of Experts (Paper Explained)

Commonsense Reasoning in the Wild (Xiang Ren)

第6回: Reasoning with Language Models and Knowledge Graphs for Question Answering

[ACS 2022] Local Semantic Averaging for Commonsense Inference in Language Models - Yin, et al.

GreaseLM: Graph REASoning Enhanced Language Models for Question Answering

The NEW Mixtral 8X7B Paper is GENIUS!!!

Developer Tech Minutes: Human Parity

Explain Yourself! Leveraging Language Models for Common Sense Reasoning | Nazneen Rajani

End To End LLM Project Using LLAMA 2- Open Source LLM Model From Meta

LMMs paper review (MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models)

[Paper review] Making Large Language Models Better Reasoners with Step-Aware Verifier

Practical Talk: How Can We Know What And When Language Models Know? (Graham Neubig)

Mixtral of Experts Insane NEW Research Paper! Mistral will beat GPT-4 Soon!

This NEW LLM "Learnt" to "THINK" BEFORE "TALK"ING!!!

Graham Neubig -- ELLIS NLP Workshop