paper
referenced-only
2025
paper:arxiv-2507-06261Gemini 2.5: Pushing the frontier with advanced reasoning, multimodality, long context, and next generation agentic capabilities
ByGheorghe Comanici·Eric Bieber·Mike Schaekermann·Ice Pasupat·Noveen Sachdeva·Inderjit Dhillon+4 more
Related work— refs + corpus + external arXiv
Cited / in-corpus / arXiv badges show which signals surfaced each row. Multi-source rows weighted higher.
- A Subgoal-driven Framework for Improving Long-Horizon LLM AgentsSian Gooding, Florian Hartmann, Oriana Riva, Edward Grefenstette Taiyi Wang2026≈ 75%
- Beyond Gemini-3-Pro: Revisiting LLM Routing and Aggregation at ScaleWeihao Lin, Peng Ye, Jingqi Ye, Hao Li, Yiqun Zhang, Xiaosong Wang, Bo Zhang, Shuyue Hu, Tao Chen, Lei Bai and Wanli Ouyang Shengji Tang2026≈ 74%
- Advances in LLMs with Focus on Reasoning, Adaptability, Efficiency and EthicsMuhammad Zaeem Khan, Aleesha Zainab, Saleha Jamshed, Sadia Ahmad, Kaynat Khatib, Faria Bibi, and Abdul Rehman Asifullah Khan2026≈ 74%
- Adaptive and Resource-efficient Agentic AI Systems for Mobile and Embedded Devices: A SurveyWeiye Wu, Xiangrui Xu, Teng Li, Bowen Pang, Bin Guo, Zhiwen Yu Sicong Liu2025≈ 74%
- ≈ 74%
- AI Knows What's Wrong But Cannot Fix It: Helicoid Dynamics in Frontier LLMs Under High-Stakes DecisionsAlejandro R Jadad2026≈ 74%
- The Path Ahead for Agentic AI: Challenges and OpportunitiesYara Ahmed, Serry Sibaee, Sawsan AlHalawani, Adel Ammar, Wadii Boulila Nadia Sibai2026≈ 74%
- ≈ 74%
- ≈ 74%
- Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe SystemsXinfeng Li, Jiayi Zhang, Jinlin Wang, Tanjin He, Sirui Hong, Hongzhang Liu, Shaokun Zhang, Kaitao Song, Kunlun Zhu, Yuheng Cheng, Suyuchen Wang, Xiaoqiang Wang, Yuyu Luo, Haibo Jin, Peiyan Zhang, Ollie Liu, Jiaqi Chen, Huan Zhang, Zhaoyang Yu, Haochen Shi, Boyan Li, Dekun Wu, Fengwei Teng, Xiaojun Jia, Jiawei Xu, Jinyu Xiang, Yizhang Lin, Tianming Liu, Tongliang Liu, Yu Su, Huan Sun, Glen Berseth, Jianyun Nie, Ian Foster, Logan Ward, Qingyun Wu, Yu Gu, Mingchen Zhuge, Xinbing Liang, Xiangru Tang, Haohan Wang, Jiaxuan You, Chi Wang, Jian Pei, Qiang Yang, Xiaoliang Qi, Chenglin Wu Bang Liu2025≈ 74%
- Imagine in Space: Exploring the Frontier of Spatial Intelligence and Reasoning Efficiency in Vision Language ModelsAidong Yang, Jun Zhu, Peng Wang, Yue Zhang Xiaoxing Lian2025≈ 74%
- Addressing the Reality Gap: A Three-Tension Framework for Agentic AI AdoptionKacper {\L}odzikowski (Adam Mickiewicz University, Pozna\'n, Poland) Jason Fournier (Imagine Learning)2026≈ 74%
- Bridging the Cognitive Gap: A Unified Memory Paradigm for 6G Agentic AI-RANZhaoyang Liu, Chenyuan Feng, Xiang Chen, Howard H. Yang, and Tony Q. S. Quek Xijun Wang2026≈ 74%
- Prompting with the Future: Open-World Model Predictive Control with Interactive Digital TwinsKuan Fang, Wei-Chiu Ma Chuanruo Ning2025≈ 74%
- Beyond Pipelines: A Survey of the Paradigm Shift toward Model-Native Agentic AIJinlin Xiao, Jiarun Han, Jilin Chen, Xiaoyi Chen, Shuyu Wei, Yongjie Sun, Yuhang Wang Jitao Sang2025≈ 74%
- When Should an AI Act? A Human-Centered Model of Scene, Context, and Behavior for Agentic AI DesignDaehoo Yoon, Sung Gyu Koh, Young Hwan Kim, Yehan Ahn, Sung Park Soyoung Jung2026≈ 74%
- ≈ 73%
- ≈ 73%
- Contemplative Agentin corpus2025≈ 72%
- The biogenic approach to cognitionin corpus2005≈ 71%
- ≈ 71%
- Harness Updating Is Not Harness Benefit: Disentangling Evolution Capabilities in Self-Evolving LLM Agentsin corpus2026≈ 71%
- ≈ 71%
- ≈ 71%
- ≈ 71%
- ≈ 71%
- From Directions to Cones: Exploring Multidimensional Representations of Propositional Facts in LLMsin corpus2025≈ 71%
- ≈ 71%
- ≈ 70%
Similar preprints — Semantic Scholar
Cited by (2)
- Reasoning Theater: Disentangling Model Beliefs from Chain-of-Thought
Reasoning models generate chains of thought that are frequently performative rather than causally necessary for reaching the correct answer: on MMLU recall questions, activation probes decode the mode
- ATLAS: Agentic or Latent Visual Reasoning? One Word is Enough for Both
ATLAS resolves a core trade-off in visual reasoning by introducing functional tokens — single discrete 'words' that simultaneously serve as agentic operations and latent visual reasoning units, elimin