1.7k citations · 2.7k across the 16 of their papers we have counts for
18 papers
Learning from Research: Toward Lifelong Agent Harness Evolution
Jingbo Yang, Kwei-Herng Lai, Xiaowen Wang +3
Language agents are expected to solve increasingly complex tasks, creating a growing need for continual improvement. One promising approach is to evolve the agent harness, the soft…
Persistent Context Graphs for Efficient Memory Compaction in LLM Agents
Jingbo Yang, Kwei-Herng Lai, Xiaowen Wang +6
As LLM capabilities advance, agents are tackling increasingly complex tasks over longer horizons. Their growing interaction histories make memory compaction essential for staying w…
GroupMemBench: Benchmarking LLM Agent Memory in Multi-Party Conversations
Jingbo Yang, Kwei-Herng Lai, Xiaowen Wang +3
Large Language Model (LLM) agents increasingly serve as personal assistants and workplace collaborators, where their utility depends on memory systems that extract, retrieve, and a…
Dense Feature Memory Augmented Transformers for COVID-19 Vaccination Search Classification
Jai Gupta, Yi Tay, Chaitanya Kamath +5
With the devastating outbreak of COVID-19, vaccines are one of the crucial lines of defense against mass infection in this global pandemic. Given the protection they provide, vacci…
Vaccine Search Patterns Provide Insights into Vaccination Intent
Sean Malahy, Mimi Sun, Keith Spangler +20
Despite ample supply of COVID-19 vaccines, the proportion of fully vaccinated individuals remains suboptimal across much of the US. Rapid vaccination of additional people will prev…
Google COVID-19 Vaccination Search Insights: Anonymization Process Description
Shailesh Bavadekar, Adam Boulanger, John Davis +22
This report describes the aggregation and anonymization process applied to the COVID-19 Vaccination Search Insights (published at http://goo.gle/covid19vaccinationinsights), a publ…