activity
20202025
most citedGemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

49 citations · 61 across the 7 of their papers we have counts for

collaborators

7 papers

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.AI2024★ 2 cited

Mastering Board Games by External and Internal Planning with Language Models

John Schultz, Jakub Adamek, Matej Jusup +13

Advancing planning and reasoning capabilities of Large Language Models (LLMs) is one of the key prerequisites towards unlocking their potential for performing reliably in complex a…

cs.CL2023★ 1 cited

Small Language Models Improve Giants by Rewriting Their Outputs

Giorgos Vernikos, Arthur Bražinskas, Jakub Adamek +3

Despite the impressive performance of large language models (LLMs), they often lag behind specialized models in various tasks. LLMs only use a fraction of the existing training dat…

cs.CL2022★ 7 cited

Teaching Small Language Models to Reason

Lucie Charlotte Magister, Jonathan Mallinson, Jakub Adamek +2

Chain of thought prompting successfully improves the reasoning capabilities of large language models, achieving state of the art results on a range of datasets. However, these reas…

cs.CL2022★ 1 cited

Text Generation with Text-Editing Models

Eric Malmi, Yue Dong, Jonathan Mallinson +7

Text-editing models have recently become a prominent alternative to seq2seq models for monolingual text-generation tasks such as grammatical error correction, simplification, and s…

cs.CL2022★ 1 cited

EdiT5: Semi-Autoregressive Text-Editing with T5 Warm-Start

Jonathan Mallinson, Jakub Adamek, Eric Malmi +1

We present EdiT5 - a novel semi-autoregressive text-editing model designed to combine the strengths of non-autoregressive text-editing and autoregressive decoding. EdiT5 is faster…

cs.CL2020

Stepwise Extractive Summarization and Planning with Structured Transformers

Shashi Narayan, Joshua Maynez, Jakub Adamek +3

We propose encoder-centric stepwise models for extractive summarization using structured transformers -- HiBERT and Extended Transformers. We enable stepwise summarization by injec…