Conference Information

NNNLP 2027: International Conference on Neural Networks and Natural Language Processing

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Submission Date:
2027-04-01 Due in 198 days
Notification Date:
2027-05-01
Conference Date:
2027-06-18
Location:
Hohhot City, China
Years:
Viewed: 5903   Tracked: 0   Attend: 0

Conference Partner Index (CP-I)

45.2 / 100
Ranked #2,766 of 5,682 conferences · Top 49%

#47 of 85 in Natural Language Processing & Speech #299 of 739 in Artificial Intelligence & Machine Learning

Academic recognition (35%) No data - scored at the neutral baseline of 50
Submission selectivity (20%) No data - scored at the neutral baseline of 50
Editions held (20%)
37
Community attention (10%)
20
Public record completeness (15%)
55

Inputs used: Editions on record: 3 · Researchers who opened this page in the past 24 months: 14

Missing from the public record: Historical acceptance rates (+4.5) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 45% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-15

Call For Papers

NNNLP 2027 (International Conference on Neural Networks and Natural Language Processing) is an academic conference held in Hohhot City, China on 2027-06-18. The paper submission deadline is 2027-04-01. Acceptance notifications are sent on 2027-05-01.

The topics of interest for submission include, but are not limited to: ◕ Neural Network Theory and Architectures Deep Neural Networks Transformer Models Representation Learning Graph Neural Networks Self-supervised Learning Foundation Models Neural Architecture Design Model Optimization Efficient Deep Learning ◕ Large Language Models and AI Systems Large Language Models (LLMs) Pre-trained Models Prompt Learning Instruction Tuning AI Agents Retrieval-Augmented Generation Model Alignment AI Safety and Ethics Scalable AI Systems ◕ Natural Language Processing Text Classification Machine Translation Sentiment Analysis Information Extraction Question Answering Dialogue Systems Text Generation Semantic Understanding Multilingual NLP ◕ Multimodal Learning and Embodied Intelligence Multimodal Learning Vision-Language Models Cross-modal Representation Embodied AI Human-AI Interaction Perception and Action Intelligent Agents Multimodal Fusion Cognitive Modeling
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