Reading Party

LLM & Human-Machine Collaboration Reading Party

Published:

Introduction

Before the summer holiday, we successfully organized a month-long reading party focused on LLM and robotics (see Cycle 0: LLM and robotics). During this month, we passionately explored various applications of LLM in the field of robotics. From the Sept. 2023, we hope to revive the reading party. Our theme will continue to revolve around LLM and human-machine collaboration. To make our discussions more in-depth and specific, we will set a particular research direction each month. Each direction will be hosted by a PhD student studying the area, whose primary task will be to recommend and propose relevant outstanding papers. Subsequently, participating students will delve deep into these papers, sharing insights and engaging in discussions. Note: It’s acceptable if the paper doesn’t utilize LLM, as long as it falls under the topic and possesses potential for LLM-enhanced improvements.

LLM & Human-Machine Collaboration Reading Party: Cycle 0

Published:

Introduction

Before the summer holiday, we successfully organized a month-long reading party focused on LLM and robotics (see Cycle 0: LLM and robotics). During this month, we passionately explored various applications of LLM in the field of robotics. From the Sept. 2023, we hope to revive the reading party. Our theme will continue to revolve around LLM and human-machine collaboration. To make our discussions more in-depth and specific, we will set a particular research direction each month. Each direction will be hosted by a PhD student studying the area, whose primary task will be to recommend and propose relevant outstanding papers. Subsequently, participating students will delve deep into these papers, sharing insights and engaging in discussions. Note: It’s acceptable if the paper doesn’t utilize LLM, as long as it falls under the topic and possesses potential for LLM-enhanced improvements.