Complex Reasoning
Complex reasoning in artificial intelligence focuses on developing models capable of multi-step, logical inference and problem-solving, mirroring human cognitive abilities. Current research emphasizes improving large language models (LLMs) through techniques like chain-of-thought prompting, retrieval-augmented generation (RAG), and the integration of symbolic reasoning with neural networks, often incorporating multi-modal data (e.g., visual and textual information). These advancements are significant for enhancing the reliability and applicability of AI systems across diverse fields, including autonomous driving, robotics, and scientific discovery, by enabling more robust and accurate decision-making in complex scenarios.
552papers
Papers - Page 7
March 3, 2025
Graph-Augmented Reasoning: Evolving Step-by-Step Knowledge Graph Retrieval for LLM Reasoning
Wenjie Wu, Yongcheng Jing, Yingjie Wang, Wenbin Hu, Dacheng TaoWuhan University●Nanyang Technological UniversityPragmatic Inference Chain (PIC) Improving LLMs' Reasoning of Authentic Implicit Toxic Language
Xi Chen, Shuo WangNanyang Technological University●University of MacauTowards Widening The Distillation Bottleneck for Reasoning Models
Huifeng Yin, Yu Zhao, Minghao Wu, Xuanfan Ni, Bo Zeng, Hao Wang, Tianqi Shi, Liangying Shao, Chenyang Lyu, Longyue Wang, Weihua Luo, Kaifu ZhangAlibaba International Digital Commerce●Tsinghua University●Monash UniversityCognitiveDrone: A VLA Model and Evaluation Benchmark for Real-Time Cognitive Task Solving and Reasoning in UAVs
Artem Lykov, Valerii Serpiva, Muhammad Haris Khan, Oleg Sautenkov, Artyom Myshlyaev, Grik Tadevosyan, Yasheerah Yaqoot, Dzmitry TsetserukouSkolkovo Institute of Science and Technology
March 1, 2025
Interacting with AI Reasoning Models: Harnessing "Thoughts" for AI-Driven Software Engineering
Christoph Treude, Raula Gaikovina KulaSingapore Management University●Osaka UniversitySmoothing Grounding and Reasoning for MLLM-Powered GUI Agents with Query-Oriented Pivot Tasks
Zongru Wu, Pengzhou Cheng, Zheng Wu, Tianjie Ju, Zhuosheng Zhang, Gongshen LiuShanghai Jiao Tong University
February 28, 2025
UDora: A Unified Red Teaming Framework against LLM Agents by Dynamically Hijacking Their Own Reasoning
Jiawei Zhang, Shuang Yang, Bo LiUniversity of Chicago●Meta●University of Illinois Urbana-Champaign●Virtue AITowards Developing Ethical Reasoners: Integrating Probabilistic Reasoning and Decision-Making for Complex AI Systems
Nijesh Upreti, Jessica Ciupa, Vaishak BelleThe University of EdinburghSpatial Reasoning with Denoising Models
Christopher Wewer, Bart Pogodzinski, Bernt Schiele, Jan Eric LenssenMax Planck Institute for InformaticsBeyond Words: A Latent Memory Approach to Internal Reasoning in LLMs
José I. OrlickiIndependent ResearcherRectifying Belief Space via Unlearning to Harness LLMs' Reasoning
Ayana Niwa, Masahiro Kaneko, Kentaro InuiMBZUAI●Tohoku University●RIKEN
February 27, 2025
PhantomWiki: On-Demand Datasets for Reasoning and Retrieval Evaluation
Albert Gong, Kamilė Stankevičiūtė, Chao Wan, Anmol Kabra, Raphael Thesmar, Johann Lee, Julius Klenke, Carla P. Gomes, Kilian Q. WeinbergerCornell University●University of CambridgeEAIRA: Establishing a Methodology for Evaluating AI Models as Scientific Research Assistants
Franck Cappello, Sandeep Madireddy, Robert Underwood, Neil Getty, Nicholas Lee-Ping Chia, Nesar Ramachandra, Josh Nguyen, Murat Keceli+18Argonne National Laboratory●University of Pennsylvania●Massachusetts Institute of Technology●Lawrence Livermore National Laboratory●The...+3FINEREASON: Evaluating and Improving LLMs' Deliberate Reasoning through Reflective Puzzle Solving
Guizhen Chen, Weiwen Xu, Hao Zhang, Hou Pong Chan, Chaoqun Liu, Lidong Bing, Deli Zhao, Anh Tuan Luu, Yu RongNanyang Technological University●Alibaba GroupOrder Doesn't Matter, But Reasoning Does: Training LLMs with Order-Centric Augmentation
Qianxi He, Qianyu He, Jiaqing Liang, Yanghua Xiao, Weikang Zhou, Zeye Sun, Fei YuFudan University●Ant GroupR1-T1: Fully Incentivizing Translation Capability in LLMs via Reasoning Learning
Minggui He, Yilun Liu, Shimin Tao, Yuanchang Luo, Hongyong Zeng, Chang Su, Li Zhang, Hongxia Ma, Daimeng Wei, Weibin Meng, Hao Yang+2Huawei●Huawei Canada●Waseda University
February 26, 2025
MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning
Jiazhen Pan, Che Liu, Junde Wu, Fenglin Liu, Jiayuan Zhu, Hongwei Bran Li, Chen Chen, Cheng Ouyang, Daniel RueckertTechnical University of Munich (TUM)●University of Oxford●Imperial College London●Massachusetts General Hospital●University of SheffieldCode to Think, Think to Code: A Survey on Code-Enhanced Reasoning and Reasoning-Driven Code Intelligence in LLMs
Dayu Yang, Tianyang Liu, Daoan Zhang, Antoine Simoulin, Xiaoyi Liu, Yuwei Cao, Zhaopu Teng, Xin Qian, Grey Yang, Jiebo Luo, Julian McAuleyMeta AI●San Diego●University of RochesterCan Large Language Models Detect Errors in Long Chain-of-Thought Reasoning?
Yancheng He, Shilong Li, Jiaheng Liu, Weixun Wang, Xingyuan Bu, Ge Zhang, Zhongyuan Peng, Zhaoxiang Zhang, Zhicheng Zheng, Wenbo Su, Bo ZhengAlibaba Group●M-A-P●CASIA