学术调研自动化工具SurveyX

项目简介


SurveyX 是一个利用大型语言模型(LLMs)的力量生成高质量、特定领域学术论文和调查的先进学术调查自动化系统。🚀

通过仅提供文献检索的论文标题和关键词,用户可以请求针对特定主题的全面学术论文或调查。

如果您想了解 SurveyX 是如何工作的,或者想要理解其背后的技术和方法,请随时查看我们的📑网站,我们在网站上提供了对系统架构、数据处理方法和实验结果的深入解释。


如何通过问题请求定制论文


请求论文,创建一个包含以下详细信息的新问题:


  • 论文标题:请提供您需要的论文标题。

  • 关键词用于文献检索:提供以逗号分隔的关键词,以帮助检索相关文献并指导内容生成(例如:“医疗保健中的 AI,气候变化对农业的影响,AI 的伦理影响”)。

    您的电子邮件(可选):请提供您的电子邮件地址,以便我们一旦论文准备好就能及时通知您。




示例问题提交

可控文本生成:LLM 调查
关键词:人工智能、医疗保健、伦理影响、技术采用、AI 驱动诊断

Emailxxxxxxxx@SurveyX.cn
一旦您提交请求,生成的论文将被放入用户请求文件夹中。请允许 1-2 个工作日进行处理和生成。⏳


📝生成主题



示例文章


Title
Keywords
From BERT to GPT-4: A Survey of Architectural Innovations in Pre-trained Language Models
Transformer, BERT, GPT-3, self-attention, masked language modeling, cross-lingual transfer, model scaling
Unsupervised Cross-Lingual Word Embedding Alignment: Techniques and Applications
low-resource NLP, few-shot learning, data augmentation, unsupervised alignment, synthetic corpora, NLLB, zero-shot transfer
Vision-Language Pre-training: Architectures, Benchmarks, and Emerging Trends
multimodal learning, CLIP, Whisper, cross-modal retrieval, modality fusion, video-language models, contrastive learning
Efficient NLP at Scale: A Review of Model Compression Techniques
model compression, knowledge distillation, pruning, quantization, TinyBERT, edge computing, latency-accuracy tradeoff
Domain-Specific NLP: Adapting Models for Healthcare, Law, and Finance
domain adaptation, BioBERT, legal NLP, clinical text analysis, privacy-preserving NLP, terminology extraction, few-shot domain transfer
Attention Heads of Large Language Models: A Survey
attention head, attention mechanism, large language model, LLM,transformer architecture, neural networks, natural language processing
Controllable Text Generation for Large Language Models: A Survey
controlled text generation, text generation, large language model, LLM,natural language processing
A survey on evaluation of large language models
evaluation of large language models,large language models assessment, natural language processing, AI model evaluation
Large language models for generative information extraction: a survey
information extraction, large language models, LLM,natural language processing, generative AI, text mining
Internal consistency and self feedback of LLM
Internal consistency, self feedback, large language model, LLM,natural language processing, model evaluation, AI reliability
Review of Multi Agent Offline Reinforcement Learning
multi agent, offline policy, reinforcement learning,decentralized learning, cooperative agents, policy optimization
Reasoning of large language model: A survey
reasoning of large language models, large language models, LLM,natural language processing, AI reasoning, transformer models
Hierarchy Theorems in Computational Complexity: From Time-Space Tradeoffs to Oracle Separations
P vs NP, NP-completeness, polynomial hierarchy, space complexity, oracle separation, Cook-Levin theorem
Classical Simulation of Quantum Circuits: Complexity Barriers and Implications
BQP, quantum supremacy, Shor’s algorithm, post-quantum cryptography, QMA, hidden subgroup problem
Kernelization: Theory, Techniques, and Limits
fixed-parameter tractable (FPT), kernelization, treewidth, W-hierarchy, ETH (Exponential Time Hypothesis), parameterized reduction
Optimal Inapproximability Thresholds for Combinatorial Optimization Problems
PCP theorem, approximation ratio, Unique Games Conjecture, APX-hardness, gap-preserving reduction, LP relaxation
Hardness in P: When Polynomial Time is Not Enough
SETH (Strong Exponential Time Hypothesis), 3SUM conjecture, all-pairs shortest paths (APSP), orthogonal vectors problem, fine-grained reduction, dynamic lower bounds
Consistency Models in Distributed Databases: From ACID to NewSQL
CAP theorem, ACID vs BASE, Paxos/Raft, Spanner, NewSQL, sharding, linearizability
Cloud-Native Databases: Architectures, Challenges, and Future Directions
cloud databases, AWS Aurora, Snowflake, storage-compute separation, auto-scaling, pay-per-query, multi-tenancy
Graph Database Systems: Storage Engines and Query Optimization Techniques
graph traversal, Neo4j, SPARQL, property graph, subgraph matching, RDF triplestore, Gremlin
Real-Time Aggregation in TSDBs: Techniques for High-Cardinality Data
time-series data, InfluxDB, Prometheus, downsampling, time windowing, high-cardinality indexing, stream processing
Self-Driving Databases: A Survey of AI-Powered Autonomous Management
autonomous databases, learned indexes, query optimization, Oracle AutoML, workload forecasting, anomaly detection
Multi-Model Databases: Integrating Relational, Document, and Graph Paradigms
multi-model database, MongoDB, ArangoDB, JSONB, unified query language, schema flexibility, polystore
Vector Databases for AI: Efficient Similarity Search and Retrieval-Augmented Generation
vector database, FAISS, Milvus, ANN search, embedding indexing, RAG (Retrieval-Augmented Generation), HNSW
Software-Defined Networking: Evolution, Challenges, and Future Scalability
OpenFlow, control plane/data plane separation, NFV orchestration, network slicing, P4 language, OpenDaylight, scalability bottlenecks
Beyond 5G: Architectural Innovations for Terahertz Communication and Network Slicing
network slicing, MEC (Multi-access Edge Computing), beamforming, mmWave, URLLC (Ultra-Reliable Low-Latency Communication), O-RAN, energy efficiency
IoT Network Protocols: A Comparative Study of LoRaWAN, NB-IoT, and Thread
LPWAN, LoRa, ZigBee 3.0, 6LoWPAN, TDMA scheduling, RPL routing, device density management
Edge Caching in Content Delivery Networks: Algorithms and Economic Incentives
CDN, Akamai, cache replacement policies, DASH (Dynamic Adaptive Streaming), QoE optimization, edge server placement, bandwidth cost reduction
A survey on flow batteries
battery electrolyte formulation
Research on battery electrolyte formulation
flow batteries



项目链接

https://github.com/IAAR-Shanghai/SurveyX

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