activity
20232026
most citedGemini 1.5: Unlocking multimodal understanding across millions of tokens of context

297 citations · 537 across the 4 of their papers we have counts for

collaborators
Showing cs.CLShow all

5 papers · 1 filter

cs.CL2026

MADS: Multi-Agent Dialog Simulation for Robust Conversational Agents

Arkajyoti Chakraborty, Adam Zernik, Ishika Kulkarni +6

Task-oriented conversational agents remain fragile under realistic conditions, especially when users exhibit non-cooperative behavior. Existing function-calling benchmarks underrep…

cs.CL2026

ToolRACER: A Robust Agentic Conversation Emulation Resource for Agent Training and Evaluation

Arkajyoti Chakraborty, Aryan Tayal, Ishika Agarwal +5

Task-oriented conversational agents remain fragile under real world conversation scenarios as they rarely follow a predictable script, especially when users exhibit non-cooperative…

cs.CL2024★ 238 cited

Gemma: Open Models Based on Gemini Research and Technology

Gemma Team, Thomas Mesnard, Cassidy Hardin +105

This work introduces Gemma, a family of lightweight, state-of-the art open models built from the research and technology used to create Gemini models. Gemma models demonstrate stro…

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.CL2023★ 1 cited

Asking More Informative Questions for Grounded Retrieval

Sedrick Keh, Justin T. Chiu, Daniel Fried

When a model is trying to gather information in an interactive setting, it benefits from asking informative questions. However, in the case of a grounded multi-turn image identific…