Research

AI Research Papers

60 research papers behind the tracked models, most cited first.

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#	Title	Authors	Citations
1	Exploiting Generative AI to Scale up Intelligent Tutoring Systems	3	76645
2	Swin Transformer: Hierarchical Vision Transformer using Shifted Windows	3	35127
3	HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case	3	16499
4	Language Models are Few-Shot Learners	3	16451
5	Detecting Functionality-Specific Vulnerabilities via Retrieving Individual Functionality-Equivalent APIs in Open-Source Repositories	3	15249
6	Aion Framework: Dimensional Emergence of AI Consciousness, Observer-Induced Collapse, and Cosmological Portal Dynamics	3	13690
7	Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks	2	12587
8	Segment Anything	3	11712
9	Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer	3	10929
10	Enriching Word Vectors with Subword Information	3	9639
11	Transformers: State-of-the-Art Natural Language Processing	3	8696
12	Review of deep learning: concepts, CNN architectures, challenges, applications, future directions	3	7871
13	Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting	3	7655
14	ChatGPT for good? On opportunities and challenges of large language models for education	3	7322
15	On the Dangers of Stochastic Parrots	3	6838
16	Improved Training of Wasserstein GANs	3	6799
17	Dictionary learning for integrative, multimodal and scalable single-cell analysis	3	5489
18	Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation	3	5439
19	LLaMA: Open and Efficient Foundation Language Models	3	4523
20	Opinion Paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy	3	4514
21	Discernment and Social Learning as a Companion Training Layer	3	4201
22	Large language models encode clinical knowledge	3	3992
23	A Survey on Evaluation of Large Language Models	3	3089
24	PaLM: Scaling Language Modeling with Pathways	3	2555
25	GPT-3: Its Nature, Scope, Limits, and Consequences	2	2501
26	A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI	2	2486
27	A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions	3	2433
28	Students’ voices on generative AI: perceptions, benefits, and challenges in higher education	2	2426
29	GPT-4 Technical Report	3	2391
30	Generative Agents: Interactive Simulacra of Human Behavior	3	2103
31	A Survey of Large Language Models	3	2057
32	Foundation models for generalist medical artificial intelligence	3	1965
33	What if the devil is my guardian angel: ChatGPT as a case study of using chatbots in education	3	1952
34	A survey on large language model based autonomous agents	3	1852
35	Language Models as Knowledge Bases?	3	1828
36	ChatGPT: Bullshit spewer or the end of traditional assessments in higher education?	3	1796
37	Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena	3	1782
38	Scaling Laws for Neural Language Models	3	1743
39	Efficient Memory Management for Large Language Model Serving with PagedAttention	3	1742
40	QLoRA: Efficient Finetuning of Quantized LLMs	3	1739
41	Improved Baselines with Visual Instruction Tuning	3	1709
42	Mamba: Linear-Time Sequence Modeling with Selective State Spaces	2	1569
43	Flamingo: a Visual Language Model for Few-Shot Learning	3	1554
44	A Primer in BERTology: What We Know About How BERT Works	3	1544
45	A comprehensive AI policy education framework for university teaching and learning	1	1541
46	Lost in the Middle: How Language Models Use Long Contexts	3	1528
47	Sparks of Artificial General Intelligence: Early experiments with GPT-4	3	1522
48	ERNIE: Enhanced Language Representation with Informative Entities	3	1478
49	Generative AI	3	1453
50	Scaling Instruction-Finetuned Language Models	3	1440
51	A Direction-Aware Study of LLM-Based Code Translation Across Eight Programming Languages	3	1433
52	Recent Advances in Natural Language Processing via Large Pre-trained Language Models: A Survey	3	1375
53	Making Pre-trained Language Models Better Few-shot Learners	3	1359
54	Unifying Large Language Models and Knowledge Graphs: A Roadmap	3	1347
55	Exploiting Cloze-Questions for Few-Shot Text Classification and Natural Language Inference	2	1302
56	AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts	3	1277
57	Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data	3	1271
58	Emergent Abilities of Large Language Models	3	1263
59	A Comprehensive Overview of Large Language Models	3	1232
60	ChatGPT in medicine: an overview of its applications, advantages, limitations, future prospects, and ethical considerations	3	1199