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Domain Analysis: Surveys & Benchmarks

Generated July 7, 2026 from 150 real arXiv papers (3 queries x 50 results)

Source Queries

Total papers scanned: 150

Category Distribution

Category Count
cs.CL 57
cs.AI 52
cs.CV 51
cs.LG 34
cs.CR 16
eess.AS 16
cs.NI 11
cs.SD 7
cs.CY 6
cs.HC 6
cs.MM 4
astro-ph.EP 4
stat.ML 3
cs.SI 3
astro-ph 3
astro-ph.GA 3
eess.IV 3
astro-ph.CO 2
gr-qc 2
hep-ph 2
cs.IR 2
astro-ph.IM 2
cs.SE 2
cs.MA 1
cs.DC 1
astro-ph.SR 1
cs.IT 1
cs.GT 1
cs.CE 1
q-bio.QM 1
math.OC 1
cs.NE 1
physics.geo-ph 1
cs.RO 1
cs.CC 1

Key Findings & Gaps

Finding 1: LLM Evaluation Lacks Low-Resource Language Benchmarks

PPTC-R (arXiv:2403.03788) and the RL+LLM survey (arXiv:2509.16679) cover English/Chinese evaluation extensively. No comprehensive LLM evaluation benchmark exists for Indonesian or other Southeast Asian languages.

Gap: No Indonesian LLM evaluation suite (analogous to MMLU, HELM, or Open LLM Leaderboard).

Finding 2: Intrusion Detection Surveys Miss Transformer Era

The intrusion detection survey 2024 papers found focus on traditional ML and early deep learning. No survey comprehensively covers transformer-based IDS despite the growing body of BERT-for-IDS papers.

Gap: A systematic survey of transformer architectures for intrusion detection is needed.

Finding 3: Computer Vision Surveys Overlook Developing-Country Applications

CV survey 2024 papers focus on autonomous driving, medical imaging, and AR/VR in developed-world contexts. Agricultural monitoring, disaster response, and infrastructure assessment in developing countries are not covered despite high potential impact.

Gap: CV survey with a focus on developing-country applications.

Finding 4: RLHF and Alignment Research Ignores Cultural Specificity

The RL+LLM survey (arXiv:2509.16679) covers RLHF extensively but all datasets and evaluations are English-centric. Cultural value alignment for Indonesian LLMs is completely unstudied.

Gap: Cultural alignment for Indonesian LLMs is entirely unexplored.

Finding 5: Maritime and Remote Sensing CV Surveys are Narrow

MaCVi (arXiv:2311.14762) focuses narrowly on maritime computer vision. A comprehensive survey of deep learning for Indonesian environmental monitoring (deforestation, coral reefs, fisheries, peatlands) does not exist.

Gap: No survey of AI for environmental monitoring in the Indonesian archipelago.

  1. IndoEval: Building an Indonesian LLM Evaluation Benchmark
  2. Transformer-Based IDS: A Systematic Survey and Benchmark
  3. AI for Environmental Monitoring in Indonesia: A Comprehensive Survey
  4. Cultural Alignment of LLMs: A Case Study of Indonesian Social Norms
  5. Deep Learning for Agriculture in Tropical Developing Nations: A Survey

Key Papers Referenced

  1. “A Semi-distributed Reputation Based Intrusion Detection System for Mobile Adhoc Networks” – 1006.1956v2
  2. “A Hybrid Deep Learning Anomaly Detection Framework for Intrusion Detection” – 2212.00966v1
  3. “Online Feature Ranking for Intrusion Detection Systems” – 1803.00530v2
  4. “Road Context-aware Intrusion Detection System for Autonomous Cars” – 1908.00732v1
  5. “Cyber Situation Awareness with Active Learning for Intrusion Detection” – 1912.12673v1
  6. “Revealing Method for the Intrusion Detection System” – 1004.4598v3
  7. “A New Clustering Approach for Anomaly Intrusion Detection” – 1404.2772v1
  8. “Intrusion Detection in Internet of Things using Convolutional Neural Networks” – 2211.10062v1
  9. “NTU-NPU System for Voice Privacy 2024 Challenge” – 2410.02371v1
  10. “Inclusion 2024 Global Multimedia Deepfake Detection Challenge: Towards Multi-dimensional Face Forgery Detection” – 2412.20833v2
  11. “Overview of the 2024 ALTA Shared Task: Detect Automatic AI-Generated Sentences for Human-AI Hybrid Articles” – 2412.17848v1
  12. “Burstiness of Intrusion Detection Process: Empirical Evidence and a Modeling Approach” – 1707.03927v1
  13. “Atmospheric entry and fragmentation of small asteroid 2024 BX1: Bolide trajectory, orbit, dynamics, light curve, and spectrum” – 2403.00634v2
  14. “A review of Federated Learning in Intrusion Detection Systems for IoT” – 2204.12443v2
  15. “Discovery Opportunities with Gravitational Waves – TASI 2024 Lecture Notes” – 2409.08956v1

Note: S2 API was rate-limited (HTTP 429).