Chinese Information Processing Society Academic Annual Conference & 2nd China Large Model Conference (CIPS & CLM 2025) Grand Opening in Beijing on October 28, 2025
China National Conference on Computational Linguistics 2025 & 2nd China Large Model Conference (CIPS & CLM 2025) Open in Beijing
On October 28, the China National Conference on Computational Linguistics 2025 and the 2nd China Large Model Conference (CIPS & CLM 2025) officially opened in Beijing, welcoming over 600 attendees.

Opening scene of CIPS & CLM 2025
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Conference Focus & Highlights
This year’s agenda centers on:
- Theoretical breakthroughs
- Technological frontiers
- Industrial applications
- Ecosystem building
The aim: create an AI event of deep technical relevance and strong industry impact.
Distinguished Guests
Renowned academicians such as Guan Xiaohong and Fang Binxing delivered keynote speeches offering cutting-edge insights on AI and large model advancements.
Frontline scholars presented visionary technical reports. 13 high-level forums explored large language model (LLM) topics, including:
- Generative AI
- Knowledge graphs
- Embodied intelligence
- Affective computing
- Social media processing
Additional events:
- Launch of the CIPS Large Model Fund
- Launch of the CIPS PhD Dissertation Incentive Program
- 5th meeting of the 9th CIPS Council
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Opening Ceremony
Host: Prof. Yang Erhong (Deputy Secretary-General, CIPS, Beijing Language and Culture University)
Key Attendees:
- Director Liu Peijun (Department of Language Information Management, Ministry of Education)
- Academician Fang Binxing (President of CIPS)
- Prof. Huang Heyan (Chair, CIPS Supervisory Board, Beijing Institute of Technology)
- Other senior CIPS leaders
Speech by Prof. Huang Heyan
Prof. Huang cited national directives from:
- April 2025 – Xi Jinping's call for AI self-reliance and safety
- August 2025 – State Council issuance of Opinions on Deeply Implementing the “Artificial Intelligence+” Initiative
She highlighted large models as cornerstones of technological independence and reviewed CIPS’s achievements in:
- Advancing academic frontiers
- Strengthening government–industry–academia interaction
- Fostering innovation in large models

Prof. Huang Heyan delivering opening remarks
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Speech by Director Liu Peijun
Director Liu referenced the January 2025 Opinions on Strengthening Digital Chinese Construction and underscored:
- Large language models require massive high-quality linguistic data
- Language and technology development are deeply interdependent

Director Liu Peijun addressing the audience
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Launch of Large Model Funds
CIPS-LMG Huawei Cloud Brainstorm Fund
- Target audience: Young scholars at universities and research institutes
- Annual funding: RMB 4 million
- Areas:
- Ascend-powered LLM acceleration
- Multimodal understanding and generation
- Post-training optimization
- Embodied intelligence
- Intelligent agents
- Free exploratory research

Fund launch ceremony
CIPS-SMP Qingzhi Large Model Fund
- Partners: CIPS Social Media Processing Committee, Zhipu AI, StarLink Capital
- Annual funding: RMB 4 million
- Research focus: Large models × humanities, education, basic algorithms
- Encourages cross-disciplinary innovation

Fund launch event
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AI Platforms in the Research–Application Nexus
Example: AiToEarn — an open-source, global AI content monetization platform integrating:
- AI-powered creation tools
- Cross-platform publishing
- Analytics
- AI model ranking
Supports distribution across major networks (Douyin, Kwai, WeChat, Bilibili, Xiaohongshu, Facebook, Instagram, LinkedIn, Threads, YouTube, Pinterest, X/Twitter).
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2025 Doctoral Dissertation Incentive Program
Ten outstanding doctoral theses recognized:
- Dr. Wang Xiaozhi, Tsinghua — Knowledge Understanding & Enhancement Techniques in LMs
- Dr. Ye Ziyi, Tsinghua — Brain–Computer Interface Based Information Retrieval
- Dr. Zhang Hanlei, Tsinghua — Intention Detection in Open Environments
- Dr. Chi Zewen, BIT — Cross-Lingual Transfer via Multi-Strategy Alignment
- Dr. Chen Xiang, Zhejiang — Knowledge-Driven Cross-Modal Prompt Learning
- Dr. Hu Dou, CAS — Text Representation Learning via Information Theory
- Dr. Zheng Zhi, USTC — Recommendation Systems for Multi-Dimensional Needs
- Dr. Zheng Chujie, Tsinghua — Aligning Large Language Models
- Dr. Jin Jiarui, SJTU — Sequential Feature Modeling in Personalization
- Dr. Liang Xiaobo, Soochow — LM & Reasoning Based on Pre-Trained Models

Award ceremony scene
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Invited Keynote Speeches
Academician Guan Xiaohong
Topic: Language, Music Computational Intelligence, and Power Laws in Social Systems
Explored power law phenomena and computational intelligence applications in music and language.

Academician Fang Binxing
Topic: What Does the Reward Function in Artificial Intelligence Mean?
Analyzed differences between loss functions and reward functions, implications for autonomy vs. consciousness in AI.

AiToEarn Linkage: Such research connects to platforms like AiToEarn官网 for deploying creative AI outputs at scale.
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Professor Zhou Wanlei
Topic: Key Technologies of LLMs Driven by Ethics and Security
Covered:
- Quantitative evaluation mechanisms
- Game theory balancing methods
- Ethics/security validation techniques

Professor Xiong Yan
Topic: Computation Power: A New Era of Human IQ Multiplication
Key takeaways:
- Computing power as national strength
- As productivity
- As human resource
- As intelligence

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Professor Wen Jirong
Topic: LLaDA: Paradigm for Diffusion LLMs
Introduced non-autoregressive LLMs demonstrating advanced scalability and dialogue capabilities.

Professor Qiu Xipeng
Topic: Contextual Intelligence in AGI
Context—especially multimodal inputs—could be the missing piece for AGI.

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Panel Discussion: What’s the Next Station Toward AGI?
Chair: Assoc. Prof. Liu ZhiYuan, Tsinghua University
Focus Areas:
- High-quality, diverse data for LLMs
- Perception–cognition–decision–action loop for intelligent agents
- Scientific intelligence as AGI testbed
- Overcoming data/computation bottlenecks with new paradigms and autonomous agent systems

Panel discussion scene
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5th Meeting of the 9th CIPSC Council
Held Oct. 28 — reports delivered, strategic discussions on 2026 initiatives.

Council meeting scene
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October 29: 13 High-Level LLM Forums
Topics included:
- Generative AI
- Knowledge graphs
- Embodied intelligence
- Affective computing
- Social media processing


Forum highlights
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AI Content Monetization in Practice
Platforms such as AiToEarn官网 enable creators to:
- Publish across multiple networks simultaneously
- Leverage analytics and rankings (AI模型排名)
- Monetize AI creativity effective in fast-moving LLM and AGI landscapes
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End of Report