Notable data and AI papers

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627 papers · 45 labs

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities research paper by Google, 2025

Google · Agents and evaluation · Jul 7, 2025 · 4,594 citations · 67 upvotes · unverified

Read on arXiv

What it shows

Gemini 2.X model family, including Gemini 2.5 Pro and Flash, offers superior coding, reasoning, and multimodal understanding capabilities across a range of computational efficiencies.

By Gheorghe Comanici, Eric Bieber, Mike Schaekermann and 3,300 more · arXiv 2507.06261 · PDF

UnverifiedHugging Face's summary; not yet checked by hand.

More from Google

All 45
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Agents and evaluationUnverifiedDec 2, 2025DeepSeek-V3.2: Pushing the Frontier of Open Large Language ModelsDeepSeek-V3.2 introduces DeepSeek Sparse Attention and a scalable reinforcement learning framework, achieving superior reasoning and performance compared to GPT-5 and Gemini-3.0-Pro in complex reasoning tasks.DeepSeek887 citations275 upvotesRead →Agents and evaluationMar 12, 2024WorkArena: How Capable Are Web Agents at Solving Common Knowledge Work Tasks?WorkArena and BrowserGym evaluate large language model-based agents' ability to perform enterprise software tasks, revealing gaps in current agent capabilities and differences between open and closed-source LLMs.ServiceNow443 citations2 upvotesRead →Agents and evaluationFeb 12, 2024Aya Model: An Instruction Finetuned Open-Access Multilingual Language ModelAya, a multilingual generative language model supporting over 50% lower-resourced languages, excels in both generative and discriminative tasks across 99 languages, and provides extensive evaluations and open-source resources.Cohere438 citations48 upvotesRead →Agents and evaluationJul 23, 2025Rubrics as Rewards: Reinforcement Learning Beyond Verifiable DomainsRubrics as Rewards (RaR) framework uses structured rubrics as interpretable reward signals for on-policy training, improving performance in real-world reinforcement learning tasks with subjective criteria.Scale AI431 citations6 upvotesRead →Agents and evaluationSep 21, 2025SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks?SWE-Bench Pro is a challenging benchmark for coding models, featuring complex, enterprise-level problems that require substantial code modifications, with performance evaluations showing significant limitations in current models.Scale AI367 citations21 upvotesRead →Agents and evaluationMay 1, 2024A Careful Examination of Large Language Model Performance on Grade School ArithmeticEvaluation of large language models on a new math benchmark, GSM1k, reveals that many models exhibit signs of overfitting to the existing GSM8k benchmark, leading to performance drops on GSM1k.Scale AI255 citations33 upvotesRead →
About this paper
Venue
arXiv.org
Citations
4,594, 1,191 influential · Semantic Scholar
Upvotes
67 · Hugging Face
Lab
Google · on Companies · on Acquisitions · on Paydays · on TechConf · on Releases

Changes

CitationsNov 9, 2026Influential citations rose from 1,165 to 1,191.
CitationsNov 9, 2026Citations rose from 4,523 to 4,594.
CitationsNov 2, 2026Influential citations rose from 1,120 to 1,165.
CitationsNov 2, 2026Citations rose from 4,338 to 4,523.
CitationsOct 12, 2026Influential citations rose from 1,095 to 1,120.
CitationsOct 12, 2026Citations rose from 4,244 to 4,338.
CitationsOct 5, 2026Influential citations rose from 1,074 to 1,095.
CitationsOct 5, 2026Citations rose from 4,157 to 4,244.
CitationsSep 28, 2026Influential citations rose from 1,066 to 1,074.
CitationsSep 28, 2026Citations rose from 4,134 to 4,157.
CitationsSep 25, 2026A first count of 1,066 influential citations.
CitationsSep 25, 2026A first count of 4,134 citations.
New paperSep 25, 2026Found by the weekly Hugging Face scan; not yet checked by hand.