activity
20202026
most citedGemma 2: Improving Open Language Models at a Practical Size

145 citations · 146 across the 5 of their papers we have counts for

collaborators

7 papers

cs.CL2026

CT: Counterfactual Causal Reasoning for Sentiment Shifts in Social-Media Conversation Trees

S M Rafiuddin, Atriya Sen

Sentiment in social-media threads does not only vary across posts; it shifts as users react to claims, corrections, evidence, and hostility within a branching reply tree. We study…

cs.CL2024★ 145 cited

Gemma 2: Improving Open Language Models at a Practical Size

Gemma Team, Morgane Riviere, Shreya Pathak +195

In this work, we introduce Gemma 2, a new addition to the Gemma family of lightweight, state-of-the-art open models, ranging in scale from 2 billion to 27 billion parameters. In th…

cs.AI2024

KerasCV and KerasNLP: Vision and Language Power-Ups

Matthew Watson, Divyashree Shivakumar Sreepathihalli, Francois Chollet +14

We present the Keras domain packages KerasCV and KerasNLP, extensions of the Keras API for Computer Vision and Natural Language Processing workflows, capable of running on either J…

cs.SE2021

Do Bots Modify the Workflow of GitHub Teams?

Samaneh Saadat, Natalia Colmenares, Gita Sukthankar

The ever-increasing complexity of modern software engineering projects makes the usage of automated assistants imperative. Bots can be used to complete repetitive tasks during deve…

cs.SE2020

Analyzing the Productivity of GitHub Teams based on Formation Phase Activity

Samaneh Saadat, Olivia B. Newton, Gita Sukthankar +1

Our goal is to understand the characteristics of high-performing teams on GitHub. Towards this end, we collect data from software repositories and evaluate teams by examining diffe…

cs.HC2020

Explaining Differences in Classes of Discrete Sequences

Samaneh Saadat, Gita Sukthankar

While there are many machine learning methods to classify and cluster sequences, they fail to explain what are the differences in groups of sequences that make them distinguishable…

cs.SI2020★ 1 cited

Deep Agent: Studying the Dynamics of Information Spread and Evolution in Social Networks

Ivan Garibay, Toktam A. Oghaz, Niloofar Yousefi +23

This paper explains the design of a social network analysis framework, developed under DARPA's SocialSim program, with novel architecture that models human emotional, cognitive and…