

We sincerely invite global scholars, senior researchers, AI engineers, industry technical leaders and policy researchers to join the 2027 International Conference on Language Intelligence and Large Language Models (LI‑LLM 2027) in Shanghai, China, during May 14–16, 2027.
Driven by the explosive evolution of natural language processing, foundation models, multimodal AI and cognitive computing, large language models (LLMs) have reconstructed human‑computer interaction, academic research, industrial manufacturing and public service sectors. Over recent years, LLMs have evolved from experimental academic prototypes into core digital infrastructure that fuels global digital‑intelligent transformation, bringing disruptive innovation across education, healthcare, finance, law and many other vertical domains. Despite remarkable practical progress, theoretical understanding still lags behind fast‑growing real‑world deployment, creating an urgent demand for dedicated international venues to align academic exploration with industrial practice. Nevertheless, the community still faces urgent open challenges: model hallucinations, unstable reasoning, data privacy risks, safety alignment, low‑resource language adaptation, lightweight edge deployment, bias and interpretability defects.
Against the backdrop of booming large‑model innovation and rising cross‑border demands for trustworthy AI governance, this conference is established to fill the gap for focused, in‑depth communication covering theoretical advances, engineering optimization and regulatory practice for language‑centric foundation models. The conference unites top‑tier university scholars, enterprise R&D experts and cross‑disciplinary practitioners to share the latest theoretical breakthroughs, optimized LLM architectures, trustworthy governance frameworks and scalable industrial landing solutions. Our core mission is to bridge the gap between fundamental theoretical research and real‑world commercial applications, explore safe, interpretable and sustainable next‑generation foundation models, and foster long‑term cross‑border academic collaboration.
LI-LLM 2027 provides an opportunity for scholars to present their latest research results. By sharing practical experience and past cases, participants will be able to gain deeper insights into relevant fields. LI-LLM 2027 will be held in Shanghai, China from May 14 - 16, 2027. LI-LLM 2027 sincerely invites you to join us in welcoming and creating a new chapter in the era of "Language Intelligence and Large Language Models".
Full Paper Submission Date: March 6, 2027
Notification of Acceptance: April 25, 2027
Registration Deadline: April 9, 2027
Conference Dates: May 14-16, 2027
The topics of interest for submission include, but are not limited to:
📚︎Track 1: Foundation Models and Language Intelligence Theory
Novel Transformer variants and non-Transformer architectures (e.g., Mamba, RWKV, State Space Models); Unified representation, alignment, and fusion mechanisms for multimodal large models; Long-context modeling, extrapolation techniques, and efficient memory mechanisms; World models and the cognitive science foundations of language intelligence; Neuro-symbolic integration and structured reasoning; Emergent abilities and new discoveries in scaling laws of large models; Cross-lingual, low-resource language, and linguistic diversity modeling
📚︎Track 2: Efficient Training, Inference, and Model Optimization
Efficient pre-training strategies, data curation, and curriculum learning; Model compression, quantization, pruning, and knowledge distillation; Inference acceleration, speculative decoding, and dynamic inference; Mixture-of-Experts (MoE), sparse activation, and conditional computation; Edge computing, on-device deployment, and mobile optimization of large models; Green AI, sustainable computing, and carbon footprint assessment; Continual learning and model editing
📚︎Track 3: Agent Systems, Tool Learning, and Complex Applications
Architecture and planning of large model-driven autonomous agents; Tool learning, function calling, and API utilization; Multi-agent collaboration, swarm intelligence, and social simulation; AI for Science, code generation, and software engineering automation; Domain-specific applications in education, healthcare, law, and finance; Embodied AI and language models in robotic control; AIGC, human-AI collaboration, and interactive systems
📚︎Track 4: Safety Alignment, Trustworthy AI, and Societal Impact
Value alignment, RLHF/RLAIF/RLCD, and Constitutional AI; Hallucination detection, factuality verification, and knowledge boundary research; Model interpretability, mechanistic interpretability, and transparency; Privacy preservation, federated learning, differential privacy, and data security; Fairness, bias detection, toxicity mitigation, and inclusive language technology; Deepfake detection and synthetic content watermarking; AI governance frameworks, ethical guidelines, policy research, and legal regulation
All accepted full papers will be published in the conference proceedings and will be submitted to EI Compendex / Scopus for indexing.
Note: All submitted articles should report original research results, experimental or theoretical, not previously published or under consideration for publication elsewhere. Articles submitted to the conference should meet these criteria. We firmly believe that ethical conduct is the most essential virtue of academics. Hence, any act of plagiarism or other misconduct is totally unacceptable and cannot be tolerated.

Conference Secretary: Mr. Wang
Tel: +86-17502096727 (WeChat)
E-Mail: contact_aidh@163.com

If you have any questions or inquiries, please feel free to contact us.