activity
20212026
most citedGemini 1.5: Unlocking multimodal understanding across millions of tokens of context

297 citations · 418 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2026

CoV: Chain-of-View Prompting for Spatial Reasoning

Haoyu Zhao, Akide Liu, Zeyu Zhang +5

Embodied question answering (EQA) in 3D environments often requires collecting context that is distributed across multiple viewpoints and partially occluded. However, most recent v…

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.HC2025

SheetMind: Actions Set Accuracy, Agents Set the Failure Mode

Xi Cheng, Ruiyan Zhu, Yanming Kang +11

Spreadsheet agents are converging on elaborate multi-agent designs, yet it is unclear how much of their performance comes from the agents rather than from the action interface they…

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…

cs.LG2022★ 5 cited

Improving Multimodal Interactive Agents with Reinforcement Learning from Human Feedback

Josh Abramson, Arun Ahuja, Federico Carnevale +16

An important goal in artificial intelligence is to create agents that can both interact naturally with humans and learn from their feedback. Here we demonstrate how to use reinforc…

cond-mat.stat-mech2021★ 24 cited

Dynamical crossover behavior in the relaxation of quenched quantum many-body systems

Aamir Ahmad Makki, Souvik Bandyopadhyay, Somnath Maity +1

A crossover between different power-law relaxation behaviors of many-body periodically driven integrable systems has come to light in recent years. We demonstrate using integrable…

cs.LG2021★ 43 cited

Imitating Interactive Intelligence

Josh Abramson, Arun Ahuja, Iain Barr +26

A common vision from science fiction is that robots will one day inhabit our physical spaces, sense the world as we do, assist our physical labours, and communicate with us through…