activity
20072023
most citedSparks of Artificial General Intelligence: Early experiments with GPT-4

1.6k citations · 2.2k across the 31 of their papers we have counts for

collaborators

32 papers

cs.CL2023★ 1.6k cited

Sparks of Artificial General Intelligence: Early experiments with GPT-4

Sébastien Bubeck, Varun Chandrasekaran, Ronen Eldan +11

Artificial intelligence (AI) researchers have been developing and refining large language models (LLMs) that exhibit remarkable capabilities across a variety of domains and tasks,…

cs.HC2021★ 33 cited

Meeting Effectiveness and Inclusiveness in Remote Collaboration

Ross Cutler, Yasaman Hosseinkashi, Jamie Pool +4

A primary goal of remote collaboration tools is to provide effective and inclusive meetings for all participants. To study meeting effectiveness and meeting inclusiveness, we first…

cs.AI2020

Resonance: Replacing Software Constants with Context-Aware Models in Real-time Communication

Jayant Gupchup, Ashkan Aazami, Yaran Fan +23

Large software systems tune hundreds of 'constants' to optimize their runtime performance. These values are commonly derived through intuition, lab tests, or A/B tests. A 'one-size…

cs.LG2020★ 1 cited

Programming by Rewards

Nagarajan Natarajan, Ajaykrishna Karthikeyan, Prateek Jain +4

We formalize and study ``programming by rewards'' (PBR), a new approach for specifying and synthesizing subroutines for optimizing some quantitative metric such as performance, res…

cs.CY2020★ 3 cited

Lumos: A Library for Diagnosing Metric Regressions in Web-Scale Applications

Jamie Pool, Ebrahim Beyrami, Vishak Gopal +7

Web-scale applications can ship code on a daily to weekly cadence. These applications rely on online metrics to monitor the health of new releases. Regressions in metric values nee…

eess.AS2020★ 3 cited

The INTERSPEECH 2020 Deep Noise Suppression Challenge: Datasets, Subjective Testing Framework, and Challenge Results

Chandan K. A. Reddy, Vishak Gopal, Ross Cutler +10

The INTERSPEECH 2020 Deep Noise Suppression (DNS) Challenge is intended to promote collaborative research in real-time single-channel Speech Enhancement aimed to maximize the subje…