🧠 SurveyScope

🎉 News

✅ 2025.06.16 — We release the paper:
SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation
→ GitHub: FlagOpen/SciSage

📚 Overview

SurveyScope is a high-quality benchmark tailored for evaluating the content quality of scientific surveys generated by the SciSage framework. It provides reliable reference material, diverse topic coverage, and human-curated citation data.

🏗️ Dataset Construction

The construction pipeline of SurveyScope is illustrated in Figure 1 and includes the following key stages:

Domain Identification from Existing Benchmarks
We began by mining open-source academic benchmarks and identifying covered domains using Qwen3-32B with structured prompting.
Topic Augmentation with Expert & LLM Input
To ensure domain completeness, we incorporated suggestions from domain experts and LLMs, filling topic gaps and addressing underrepresented fields.
Paper Selection per Domain
For each domain, we manually selected highly cited and recent papers from Google Scholar to ensure high quality and recency.

SurveyScope pipeline — Figure 1: Overview of the SurveyScope construction pipeline.

Dataset Details

Category	Research Topic	Paper Title	citation num (250605)	year	url	token num (qwen2.5)
NLP	Speech-to-text Translation	Recent Advances in Direct Speech-to-text Translation	26	2023	http://arxiv.org/abs/2306.11646	17,611
NLP	Contrastive Pretraining in Language Processing	A Primer on Contrastive Pretraining in Language Processing: Methods, Lessons Learned and Perspectives	103	2023	http://arxiv.org/abs/2102.12982v1	18,920
Dialogue Systems	Task-oriented Dialogue Systems	End-to-end Task-oriented Dialogue: A Survey of Tasks, Methods, and Future Directions	22	2023	http://arxiv.org/abs/2311.09008v1	36,991
Benchmarking / Evaluation	Question Answering Datasets and Benchmarks	Modern Question Answering Datasets and Benchmarks: A Survey	34	2022	http://arxiv.org/abs/2206.15030v1	20,066
NLP	Reasoning Shortcuts in MRC	A Survey on Measuring and Mitigating Reasoning Shortcuts in Machine Reading Comprehension	10	2022	http://arxiv.org/abs/2209.01824v2	31,808
LLMs (General)	Confidence Estimation in LLMs	A Survey of Confidence Estimation and Calibration in Large Language Models	75	2023	http://arxiv.org/abs/2311.08298v2	31,777
LLMs (General)	Controllable Text Generation	A Survey of Controllable Text Generation using Transformer-based Pre-trained Language Models	402	2023	http://arxiv.org/abs/2201.05337v5	56,627
NLP	Robustness in NLP Models	Measure and Improve Robustness in NLP Models: A Survey	143	2021	http://arxiv.org/abs/2112.08313v2	39,066
NLP	Neural Entity Linking	Neural Entity Linking: A Survey of Models Based on Deep Learning	204	2022	http://arxiv.org/abs/2006.00575v4	108,546
NLP	Non-Autoregressive Generation in NMT	A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyond	110	2023	http://arxiv.org/abs/2204.09269v2	77,863
LLMs Safety	Bias and Fairness in LLMs	Bias and Fairness in Large Language Models: A Survey	705	2024	http://arxiv.org/abs/2309.00770v3	110,790
LLMs Efficiency	NLP Efficiency	Efficient Methods for Natural Language Processing: A Survey	134	2023	http://arxiv.org/abs/2209.00099v2	63,709
LLMs Efficiency	LLM Efficiency	The Efficiency Spectrum of Large Language Models: An Algorithmic Survey	27	2023	http://arxiv.org/abs/2312.00678v2	70,382
Medical / Biomedical	Biomedical Language Models	Pre-trained Language Models in Biomedical Domain: A Systematic Survey	213	2023	http://arxiv.org/abs/2110.05006v4	103,620
NLP	Code-Switching in NLP	The Decades Progress on Code-Switching Research in NLP: A Systematic Survey on Trends and Challenges	56	2022	http://arxiv.org/abs/2212.09660v2	93,129
Dialogue Systems	Proactive Dialogue Systems	A Survey on Proactive Dialogue Systems: Problems, Methods, and Prospects	56	2023	http://arxiv.org/abs/2305.02750v2	19,064
Dialogue Systems	Reinforcement Learning in Dialogue Policy	A Survey on Recent Advances and Challenges in Reinforcement Learning Methods for Task-Oriented Dialogue Policy Learning	49	2023	http://arxiv.org/abs/2202.13675v2	27,542
NLP	Contextualized Language Models in Machine Reading Comprehension	Machine Reading Comprehension: The Role of Contextualized Language Models and Beyond	78	2020	http://arxiv.org/abs/2005.06249v1	71,397
NLP	Explainability in Machine Reading Comprehension	A Survey on Explainability in Machine Reading Comprehension	51	2020	http://arxiv.org/abs/2010.00389v1	26,035
LLMs (General)	Chain of Thought Reasoning in LLMs	Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future	228	2023	http://arxiv.org/abs/2309.15402v3	59,776
LLMs (General)	In-context Learning in LLMs	A Survey on In-context Learning	1,892	2022	https://arxiv.org/abs/2301.00234	35,769
Finance / Domain-specific	LLMs in Recommendation Systems	A Survey on Large Language Models for Recommendation	449	2024	https://arxiv.org/abs/2305.19860	22,986
LLMs Safety	LLM-Generated Content Detection	A Survey on Detection of LLMs-Generated Content	57	2023	https://arxiv.org/abs/2310.15654	41,035
Medical / Biomedical	LLMs in Medical Applications	A Survey of Large Language Models in Medicine: Progress, Application, and Challenge	158	2023	https://arxiv.org/abs/2311.05112	96,881
LLMs Safety	LLM Safety	Towards Safer Generative Language Models: A Survey on Safety Risks, Evaluations, and Improvements	10	2023	https://arxiv.org/abs/2302.09270	28,890
LLMs Safety	Hallucination in LLMs	A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions	1,557	2025	https://arxiv.org/abs/2311.05232	92,219
LLMs Safety	LLM Full Stack Safety	A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment	13	2025	https://arxiv.org/abs/2504.15585	161,502
Other	LLM-based Autonomous Agents	A Survey on Large Language Model based Autonomous Agents	1,446	2025	https://arxiv.org/abs/2308.11432	55,603
LLMs (General)	LLM Reasoning	Reasoning with Large Language Models, a Survey	82	2024	https://arxiv.org/abs/2407.11511	44,429
Multimodal	Vision-Language Models in Vision Tasks	Vision-Language Models for Vision Tasks: A Survey	696	2024	https://arxiv.org/abs/2304.00685	75,611
LLMs (General)	LLM Alignment Techniques	A Comprehensive Survey of LLM Alignment Techniques: RLHF, RLAIF, PPO, DPO and More	24	2024	https://arxiv.org/abs/2407.16216	73,556
Robotics	Deep Reinforcement Learning in Robotics	Deep Reinforcement Learning for Robotics: A Survey of Real-World Successes	67	2025	https://arxiv.org/abs/2408.03539	102,954
LLMs Safety	Hallucination in LVMs	A Survey on Hallucination in Large Vision-Language Models	216	2024	https://arxiv.org/abs/2402.00253	17,647
LLMs Safety	LLM Security and Privacy	A Survey on Large Language Model (LLM) Security and Privacy: The Good, the Bad, and the Ugly	870	2024	https://arxiv.org/abs/2312.02003	47,825
Medical / Biomedical	Medical LLMs, Trustworthiness in LLMs	A Survey on Medical Large Language Models: Technology, Application, Trustworthiness, and Future Directions	43	2024	https://arxiv.org/abs/2406.03712	61,934
Benchmarking / Evaluation	LLM Evaluation Methods	A Survey on LLM-as-a-Judge	163	2024	https://arxiv.org/abs/2411.15594	48,451
Finance / Domain-specific	LLMs in Finance Applications	Revolutionizing Finance with LLMs: An Overview of Applications and Insights	135	2024	https://arxiv.org/abs/2401.11641	29,116
LLMs (General)	Retrieval-Augmented Generation	Retrieval-Augmented Generation for Large Language Models: A Survey	2,184	2023	https://arxiv.org/abs/2312.10997	9,966
LLMs (General)	Mixture of Experts in LLMs	A Survey on Mixture of Experts in Large Language Models	138	2023	https://arxiv.org/abs/2407.06204	83,623
LLMs (General)	Multilingual LLMs	Multilingual Large Language Model: A Survey of Resources, Taxonomy and Frontiers	81	2024	https://arxiv.org/abs/2404.04925	81,148
Other	Continual Learning in AI	A Comprehensive Survey of Continual Learning: Theory, Method and Application	1,025	2024	https://arxiv.org/pdf/2302.00487	109,971
LLMs Efficiency	Parameter-Efficient Fine-Tuning	Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey	479	2024	https://arxiv.org/abs/2403.14608	61,858
Multimodal	Multimodal Reasoning in MLLMs	Exploring the Reasoning Abilities of Multimodal Large Language Models (MLLMs): A Comprehensive Survey on Emerging Trends in Multimodal Reasoning	44	2024	https://arxiv.org/abs/2401.06805	49,225
Robotics	LLMs in Robotics	Large Language Models for Robotics: A Survey	160	2024	https://arxiv.org/abs/2311.07226	37,682
Multimodal	Vision-Language-Action Models in Embodied AI	A Survey on Vision-Language-Action Models for Embodied AI	77	2024	https://arxiv.org/abs/2405.14093	93,748
LLMs Safety	Red Teaming for Generative Models	Against The Achilles' Heel: A Survey on Red Teaming for Generative Models	22	2025	https://arxiv.org/abs/2404.00629	97,190

📊 Dataset Statistics

SurveyScope emphasizes coverage, recency, and impact, setting it apart from prior benchmarks. Below is a high-level summary:

📌 Diverse Topics
11 active research areas, including NLP, LLMs, AI safety, robotics, and multimodal learning.

Topic distribution — Distribution of topics in SurveyScope.

🕒 Recent Publications
Focused on 2020–2025 publications to reflect the latest developments, especially in LLMs post-2022.

Publication years — Publication year distribution.

📈 High Citation Impact
Average: 322 citations/paper; 52% exceed 100 citations.

📐 Evaluation Results

We evaluated SciSage against strong baselines:

The evaluation covers content quality, structural coherence, and citation fidelity.

Automatic evaluation metrics across systems.

📎 Citation

If you find SurveyScope useful, please cite:

@misc{shi2025scisagemultiagentframeworkhighquality,
      title={SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation}, 
      author={Xiaofeng Shi and Qian Kou and Yuduo Li and Ning Tang and Jinxin Xie and Longbin Yu and Songjing Wang and Hua Zhou},
      year={2025},
      eprint={2506.12689},
      archivePrefix={arXiv},
      primaryClass={cs.AI},
      url={https://arxiv.org/abs/2506.12689}, 
}

Datasets:

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SurveyScope

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