output
20192024
most citedPerhaps PTLMs Should Go to School -- A Task to Assess Open Book and Closed Book QA

7 citations

5 papers

cs.CL2024★ 1 cited

More Victories, Less Cooperation: Assessing Cicero's Diplomacy Play

Wichayaporn Wongkamjan, Feng Gu, Yanze Wang +6

The boardgame Diplomacy is a challenging setting for communicative and cooperative artificial intelligence. The most prominent communicative Diplomacy AI, Cicero, has excellent str…

cs.CL2023

Remember what you did so you know what to do next

Manuel R. Ciosici, Alex Hedges, Yash Kankanampati +3

We explore using a moderately sized large language model (GPT-J 6B parameters) to create a plan for a simulated robot to achieve 30 classes of goals in ScienceWorld, a text game si…

cs.CL2021★ 7 cited

Perhaps PTLMs Should Go to School -- A Task to Assess Open Book and Closed Book QA

Manuel R. Ciosici, Joe Cecil, Alex Hedges +3

Our goal is to deliver a new task and leaderboard to stimulate research on question answering and pre-trained language models (PTLMs) to understand a significant instructional docu…

cs.CL2021★ 2 cited

Machine-Assisted Script Curation

Manuel R. Ciosici, Joseph Cummings, Mitchell DeHaven +5

We describe Machine-Aided Script Curator (MASC), a system for human-machine collaborative script authoring. Scripts produced with MASC include (1) English descriptions of sub-event…

cs.SI2019

SoReC: A Social-Relation Based Centrality Measure in Mobile Social Networks

Bowen Li, Zhenxiang Gao, Xu Shan +2

Mobile Social Networks (MSNs) have been evolving and enabling various fields in recent years. Recent advances in mobile edge computing, caching, and device-to-device communications…