--- title: "Proceedings of the AAAI Conference on Artificial" description: "Proceedings of the AAAI Conference on Artificial Intelligence 2024 — accepted papers: 3 papers in the Elamur Research library, with our…" canonical: "https://research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/2024/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/2024/) [home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / [Proceedings of the AAAI Conference on…](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/) / 2024 # Proceedings of the AAAI Conference on Artificial Intelligence 2024 — accepted papers Proceedings of the AAAI Conference on Artificial Intelligence 2024 is the 2024 edition of the Proceedings of the AAAI Conference on Artificial Intelligence (publisher: Association for the Advancement of Artificial Intelligence). OpenAlex lists 2,867 papers of it; our library holds 3 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions. [**2,867** papers in the proceedings](#all) · [**3** works in our library](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/2024/#works) · [**212** citations of these works](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/2024/#works) ## Most cited papers By their OpenAlex citations; a paper with our summary links to its page here, the others to the original. 1. **[T2I-Adapter: Learning Adapters to Dig Out More Controllable Ability for Text-to-Image Diffusion Models](https://doi.org/10.1609/aaai.v38i5.28226)**Chong Mou, Xintao Wang, Liangbin Xie et al.*923 citations* 2. **[Graph of Thoughts: Solving Elaborate Problems with Large Language Models](https://doi.org/10.1609/aaai.v38i16.29720)**Maciej Besta, Nils Blach, Ales Kubicek et al.*530 citations* 3. **[Benchmarking Large Language Models in Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/chen-2023-benchmarking-large-language-models-retrieval/)**Jiawei Chen, Hongyu Lin, Xianpei Han et al.*433 citations · our summary* 4. **[AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models](https://doi.org/10.1609/aaai.v38i3.27963)**Zhaopeng Gu, Bingke Zhu, Guibo Zhu et al.*298 citations* 5. **[Omni-Kernel Network for Image Restoration](https://doi.org/10.1609/aaai.v38i2.27907)**Yuning Cui, Wenqi Ren, Alois Knoll*279 citations* 6. **[MedSegDiff-V2: Diffusion-Based Medical Image Segmentation with Transformer](https://doi.org/10.1609/aaai.v38i6.28418)**Junde Wu, Wei Ji, Huazhu Fu et al.*275 citations* 7. **[MSGNet: Learning Multi-Scale Inter-series Correlations for Multivariate Time Series Forecasting](https://doi.org/10.1609/aaai.v38i10.28991)**Wanlin Cai, Yuxuan Liang, Xianggen Liu et al.*239 citations* 8. **[MemoryBank: Enhancing Large Language Models with Long-Term Memory](https://doi.org/10.1609/aaai.v38i17.29946)**Wanjun Zhong, Lianghong Guo, Qiqi Gao et al.*229 citations* 9. **[VadCLIP: Adapting Vision-Language Models for Weakly Supervised Video Anomaly Detection](https://doi.org/10.1609/aaai.v38i6.28423)**Peng Wu, Xuerong Zhou, Guansong Pang et al.*226 citations* 10. **[Bad Actor, Good Advisor: Exploring the Role of Large Language Models in Fake News Detection](https://doi.org/10.1609/aaai.v38i20.30214)**Beizhe Hu, Qiang Sheng, Juan Cao et al.*224 citations* ## All accepted papers (2,867) The most cited first; 3 with our summary link to their page here, the others to the original. 1. **[T2I-Adapter: Learning Adapters to Dig Out More Controllable Ability for Text-to-Image Diffusion Models](https://doi.org/10.1609/aaai.v38i5.28226)**Chong Mou, Xintao Wang, Liangbin Xie et al.*923 citations* 2. **[Graph of Thoughts: Solving Elaborate Problems with Large Language Models](https://doi.org/10.1609/aaai.v38i16.29720)**Maciej Besta, Nils Blach, Ales Kubicek et al.*530 citations* 3. **[Benchmarking Large Language Models in Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/chen-2023-benchmarking-large-language-models-retrieval/)**Jiawei Chen, Hongyu Lin, Xianpei Han et al.*433 citations · our summary* 4. **[AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models](https://doi.org/10.1609/aaai.v38i3.27963)**Zhaopeng Gu, Bingke Zhu, Guibo Zhu et al.*298 citations* 5. **[Omni-Kernel Network for Image Restoration](https://doi.org/10.1609/aaai.v38i2.27907)**Yuning Cui, Wenqi Ren, Alois Knoll*279 citations* 6. **[MedSegDiff-V2: Diffusion-Based Medical Image Segmentation with Transformer](https://doi.org/10.1609/aaai.v38i6.28418)**Junde Wu, Wei Ji, Huazhu Fu et al.*275 citations* 7. **[MSGNet: Learning Multi-Scale Inter-series Correlations for Multivariate Time Series Forecasting](https://doi.org/10.1609/aaai.v38i10.28991)**Wanlin Cai, Yuxuan Liang, Xianggen Liu et al.*239 citations* 8. **[MemoryBank: Enhancing Large Language Models with Long-Term Memory](https://doi.org/10.1609/aaai.v38i17.29946)**Wanjun Zhong, Lianghong Guo, Qiqi Gao et al.*229 citations* 9. **[VadCLIP: Adapting Vision-Language Models for Weakly Supervised Video Anomaly Detection](https://doi.org/10.1609/aaai.v38i6.28423)**Peng Wu, Xuerong Zhou, Guansong Pang et al.*226 citations* 10. **[Bad Actor, Good Advisor: Exploring the Role of Large Language Models in Fake News Detection](https://doi.org/10.1609/aaai.v38i20.30214)**Beizhe Hu, Qiang Sheng, Juan Cao et al.*224 citations* 11. **[A Diffusion-Based Framework for Multi-Class Anomaly Detection](https://doi.org/10.1609/aaai.v38i8.28690)**Haoyang He, Jiangning Zhang, Hongxu Chen et al.*212 citations* 12. **[ODTrack: Online Dense Temporal Token Learning for Visual Tracking](https://doi.org/10.1609/aaai.v38i7.28591)**Yaozong Zheng, Bineng Zhong, Qihua Liang et al.*209 citations* 13. **[Frequency-Aware Deepfake Detection: Improving Generalizability through Frequency Space Domain Learning](https://doi.org/10.1609/aaai.v38i5.28310)**Chuangchuang Tan, Yao Zhao, Shikui Wei et al.*204 citations* 14. **[NavGPT: Explicit Reasoning in Vision-and-Language Navigation with Large Language Models](https://doi.org/10.1609/aaai.v38i7.28597)**Gengze Zhou, Yicong Hong, Qi Wu*203 citations* 15. **[Hybrid-SORT: Weak Cues Matter for Online Multi-Object Tracking](https://doi.org/10.1609/aaai.v38i7.28471)**Mingzhan Yang, Guangxin Han, Bin Yan et al.*187 citations* 16. **[SCTNet: Single-Branch CNN with Transformer Semantic Information for Real-Time Segmentation](https://doi.org/10.1609/aaai.v38i6.28457)**Zhengze Xu, Dongyue Wu, Changqian Yu et al.*186 citations* 17. **[NuScenes-QA: A Multi-Modal Visual Question Answering Benchmark for Autonomous Driving Scenario](https://doi.org/10.1609/aaai.v38i5.28253)**Tianwen Qian, Jingjing Chen, Linhai Zhuo et al.*168 citations* 18. **[Knowledge Graph Prompting for Multi-Document Question Answering](https://doi.org/10.1609/aaai.v38i17.29889)**Yu Wang, Nedim Lipka, Ryan A. Rossi et al.*164 citations* 19. **[IRPruneDet: Efficient Infrared Small Target Detection via Wavelet Structure-Regularized Soft Channel Pruning](https://doi.org/10.1609/aaai.v38i7.28551)**Mingjin Zhang, Handi Yang, Jie Guo et al.*157 citations* 20. **[Detecting and Preventing Hallucinations in Large Vision Language Models](https://doi.org/10.1609/aaai.v38i16.29771)**Anisha Gunjal, Jihan Yin, Erhan Bas*154 citations* 21. **[AnomalyDiffusion: Few-Shot Anomaly Image Generation with Diffusion Model](https://doi.org/10.1609/aaai.v38i8.28696)**Teng Hu, Jiangning Zhang, Ran Yi et al.*153 citations* 22. **[LGMRec: Local and Global Graph Learning for Multimodal Recommendation](https://doi.org/10.1609/aaai.v38i8.28688)**Zhiqiang Guo, Jianjun Li, Guohui Li et al.*152 citations* 23. **[ExpeL: LLM Agents Are Experiential Learners](https://doi.org/10.1609/aaai.v38i17.29936)**Andrew Zhao, Daniel T. Huang, Quentin Xu et al.*148 citations* 24. **[Visual Adversarial Examples Jailbreak Aligned Large Language Models](https://doi.org/10.1609/aaai.v38i19.30150)**Xiangyu Qi, Kaixuan Huang, Ashwinee Panda et al.*145 citations* 25. **[Rolling-Unet: Revitalizing MLP’s Ability to Efficiently Extract Long-Distance Dependencies for Medical Image Segmentation](https://doi.org/10.1609/aaai.v38i4.28173)**Yutong Liu, Haijiang Zhu, Mengting Liu et al.*141 citations* [See all 2,867 papers in Proceedings of the AAAI Conference on Artificial Intelligence 2024 — accepted papers →](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/2024/papers/) ## Papers with our summary in our library (3) The most cited first (OpenAlex citations plus our library's). 1. **[Language Ranker: A Metric for Quantifying LLM Performance Across High and Low-Resource Languages](https://md.research.elamur.ai/free/en/papers/li-2024-language-ranker-metric-quantifying-llm/) [Proceedings of the AAAI Conference on Artificial Intelligence](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/)**Zihao Li, Yucheng Shi, Zirui Liu, et al.*2024 · 95 citations* 2. **[Evaluating Mathematical Reasoning Beyond Accuracy](https://md.research.elamur.ai/free/en/papers/xia-2024-evaluating-mathematical-reasoning-accuracy/) [Proceedings of the AAAI Conference on Artificial Intelligence](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/)**Shijie Xia, Xuefeng Li, Yixin Liu, et al.*2024 · 84 citations* 3. **[Is Sarcasm Detection A Step-by-Step Reasoning Process in Large Language Models?](https://md.research.elamur.ai/free/en/papers/yao-2024-sarcasm-detection-step-step-reasoning/) [Proceedings of the AAAI Conference on Artificial Intelligence](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/)**Ben Yao, Yazhou Zhang, Qiuchi Li, et al.*2024 · 33 citations* ## Top topics Topics of its works in our library, with the number of works on each. [Reasoning (2)](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Language models & pretraining (1)](https://md.research.elamur.ai/free/en/topics/language-models/) · [Sentiment & emotion (1)](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) · [Low-resource languages (1)](https://md.research.elamur.ai/free/en/topics/low-resource-languages/) · [Evaluation & benchmarks (1)](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) ## Fields [Arts and Humanities (3)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science (3)](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Mathematics (1)](https://md.research.elamur.ai/free/en/shelves/mathematics/) ## Top authors Authors with a page who published here most often: their works here, and the citations of those works. [🧑‍🔬**Fan Yang**1 work here · 95 citations](https://md.research.elamur.ai/free/en/authors/fan-yang/) · [🧑‍🔬**Mengnan Du**1 work here · 95 citations](https://md.research.elamur.ai/free/en/authors/mengnan-du/) · [🧑‍🔬**Ninghao Liu**1 work here · 95 citations](https://md.research.elamur.ai/free/en/authors/ninghao-liu/) · [🧑‍🔬**Zirui Liu**1 work here · 95 citations](https://md.research.elamur.ai/free/en/authors/zirui-liu/) · [🧑‍🔬**Pengfei Liu**1 work here · 84 citations](https://md.research.elamur.ai/free/en/authors/pengfei-liu/) · [🧑‍🔬**Shijie Xia**1 work here · 84 citations](https://md.research.elamur.ai/free/en/authors/shijie-xia/) · [🧑‍🔬**Tongshuang Wu**1 work here · 84 citations](https://md.research.elamur.ai/free/en/authors/tongshuang-wu/) · [🧑‍🔬**Yixin Liu**1 work here · 84 citations](https://md.research.elamur.ai/free/en/authors/yixin-liu/) · [🧑‍🔬**Qiuchi Li**1 work here · 33 citations](https://md.research.elamur.ai/free/en/authors/qiuchi-li/) · [🧑‍🔬**Yazhou Zhang**1 work here · 33 citations](https://md.research.elamur.ai/free/en/authors/yazhou-zhang/) ## Top institutions Institutions on the bylines of its works here, by the number of works. [🎓**New Jersey Institute of Technology** Newark · United States 1 work here](https://md.research.elamur.ai/free/en/universities/new-jersey-institute-of-technology/) · [🎓**University of Copenhagen** Copenhagen · Denmark 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-copenhagen/) · [🎓**University of Minnesota** Minneapolis · United States 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-minnesota/) · [🎓**Hong Kong Polytechnic University** Hong Kong · China 1 work here](https://md.research.elamur.ai/free/en/universities/hong-kong-polytechnic-university/) · [🎓**Tianjin University** Tianjin · China 1 work here](https://md.research.elamur.ai/free/en/universities/tianjin-university/) · [🎓**University of Georgia** Athens · United States 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-georgia/) · [🎓**Shanghai Jiao Tong University** Shanghai · China 1 work here](https://md.research.elamur.ai/free/en/universities/shanghai-jiao-tong-university/) · [🎓**Yale University** New Haven · United States 1 work here](https://md.research.elamur.ai/free/en/universities/yale-university/) · [🔬**Shanghai Artificial Intelligence Laboratory** Shanghai · China 1 work here](https://md.research.elamur.ai/free/en/labs/shanghai-artificial-intelligence-laboratory/) · [🎓**Wake Forest University** Winston-Salem · United States 1 work here](https://md.research.elamur.ai/free/en/universities/wake-forest-university/) · [🎓**Carnegie Mellon University** Pittsburgh · United States 1 work here](https://md.research.elamur.ai/free/en/universities/carnegie-mellon-university/) works and citations from OpenAlex and our library. - [← previous Proceedings of the AAAI Conference on Artificial Intelligence 2023](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/2023/) - [↑ back to Proceedings of the AAAI Conference on Artificial Intelligence](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/)