activity
20242026
most citedGemini 1.5: Unlocking multimodal understanding across millions of tokens of context

297 citations · 356 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CY2026

Can AI mediation improve democratic deliberation?

Michael Henry Tessler, Georgina Evans, Michiel A. Bakker +8

The strength of democracy lies in the free and equal exchange of diverse viewpoints. Living up to this ideal at scale faces inherent tensions: broad participation, meaningful delib…

cs.AI2025

Human-AI Complementarity: A Goal for Amplified Oversight

Rishub Jain, Sophie Bridgers, Lili Janzer +3

Human feedback is critical for aligning AI systems to human values. As AI capabilities improve and AI is used to tackle more challenging tasks, verifying quality and safety becomes…

cs.CL2025★ 49 cited

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Gheorghe Comanici, Eric Bieber, Mike Schaekermann +3431

In this report, we introduce the Gemini 2.X model family: Gemini 2.5 Pro and Gemini 2.5 Flash, as well as our earlier Gemini 2.0 Flash and Flash-Lite models. Gemini 2.5 Pro is our…

cs.AI2025★ 1 cited

An Approach to Technical AGI Safety and Security

Rohin Shah, Alex Irpan, Alexander Matt Turner +27

Artificial General Intelligence (AGI) promises transformative benefits but also presents significant risks. We develop an approach to address the risk of harms consequential enough…

cs.CY2024★ 9 cited

A Mechanism-Based Approach to Mitigating Harms from Persuasive Generative AI

Seliem El-Sayed, Canfer Akbulut, Amanda McCroskery +17

Recent generative AI systems have demonstrated more advanced persuasive capabilities and are increasingly permeating areas of life where they can influence decision-making. Generat…

cs.CL2024★ 297 cited

Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Gemini Team, Petko Georgiev, Ving Ian Lei +1132

In this report, we introduce the Gemini 1.5 family of models, representing the next generation of highly compute-efficient multimodal models capable of recalling and reasoning over…