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

49 citations · 50 across the 7 of their papers we have counts for

collaborators

7 papers

cs.AI2025

On the Dynamics of Multi-Agent LLM Communities Driven by Value Diversity

Muhua Huang, Qinlin Zhao, Xiaoyuan Yi +1

As Large Language Models (LLM) based multi-agent systems become increasingly prevalent, the collective behaviors, e.g., collective intelligence, of such artificial communities have…

cs.AI2025

Computational Multi-Agents Society Experiments: Social Modeling Framework Based on Generative Agents

Hanzhong Zhang, Muhua Huang, Jindong Wang

Computational social science has developed descriptive, interpretative, and predictive modeling, but comprehensive modeling combining in-world human intervention with outcome forec…

cs.CL2025

IROTE: Human-like Traits Elicitation of Large Language Model via In-Context Self-Reflective Optimization

Yuzhuo Bai, Shitong Duan, Muhua Huang +7

Trained on various human-authored corpora, Large Language Models (LLMs) have demonstrated a certain capability of reflecting specific human-like traits (e.g., personality or values…

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.AI2025

Research Superalignment Should Advance Now with Alternating Competence and Conformity Optimization

HyunJin Kim, Xiaoyuan Yi, Jing Yao +4

The recent leap in AI capabilities, driven by big generative models, has sparked the possibility of achieving Artificial General Intelligence (AGI) and further triggered discussion…

cs.AI2025

Value Compass Benchmarks: A Platform for Fundamental and Validated Evaluation of LLMs Values

Jing Yao, Xiaoyuan Yi, Shitong Duan +8

As Large Language Models (LLMs) achieve remarkable breakthroughs, aligning their values with humans has become imperative for their responsible development and customized applicati…

cs.LG2024★ 1 cited

The Road to Artificial SuperIntelligence: A Comprehensive Survey of Superalignment

HyunJin Kim, DongHyun Ryu, Xiaoyuan Yi +6

The emergence of large language models (LLMs) has sparked discussion on Artificial Superintelligence (ASI), a hypothetical AI system that surpasses human intelligence. Although ASI…