Case-Based Reasoning

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14 papers1 paper in the last four weeks, against 1 the four weeks before. 0.0% of all new papers.

Enhancing Academic Advisement with Case-Based Reasoning
Nov 5, 2026Tanat TonguthaisriRecommender Systems Educational Technology
RMIT University School of Electrical and Computer Engineering
Precedent Labels and Facts Shift LLM Approval Decisions in Opposite Directions
Oct 31, 2026Junwei Yao, Zike Yang, Yongxi Zhou +4LLM Decision-Making Case-Based Reasoning
Independent Researcher
RAFT: A Stateful Retrieval-Augmented Framework for Troubleshooting Agents
Sep 17, 2026Mingxuan Zhang, Xiaowen Wang, Anupma Sharan +4Case-Based Reasoning Retrieval-Augmented Generation
Microsoft, Redmond, WA, USA
Case-Aware Medical Image Classification with Multimodal Knowledge Graphs and Reliability-Guided Refinement
May 21, 2026Yiming Xu, Yixuan Liu, Yuhang Zhang +3Case-Based Reasoning Medical Image Classification
University of Science and Technology of China · Hefei, China
Evidential Reasoning Advances Interpretable Real-World Disease Screening
May 14, 2026Chenyu Lian, Hong-Yu Zhou, Jing QinCase-Based Reasoning Medical Image Analysis
The Center for Smart Health, School of Nursing, the Hong Kong Polytechnic University, Hong Kong, China · Research Institute for Smart Ageing, the Hong Kong Polytechnic University, Hong Kong, China · School of Biomedical Engineering, Tsinghua Medicine, Tsinghua University, Beijing, China
Case-Based Calibration of Adaptive Reasoning and Execution for LLM Tool Use
May 14, 2026Renning Pang, Tian Lan, Leyuan Liu +3Case-Based Reasoning Language Model Calibration
University of Electronic Science and Technology of China, Chengdu 611731, China
Deep Arguing
May 11, 2026Adam Gould, Francesca ToniCase-Based Reasoning Neural Network Interpretability
Department of Computing Imperial College London
Alignment as Jurisprudence
May 8, 2026Nicholas CaputoCase-Based Reasoning LLM Alignment
Researcher – Legal Alignment on Frontier AI at the Oxford Martin AI Governance Initiative
Transferable Expertise for Autonomous Agents via Real-World Case-Based Learning
Apr 14, 2026Zhenyu Ma, Yuyang Song, Chunyi Yang +3Case-Based Reasoning LLM Agents
National Glycoengineering Research Center, Shandong University, Qingdao 266237, China. · State Key Laboratory of Microbial Technology, Shandong University, Qingdao 266237, China.
Event-Centric World Modeling with Memory-Augmented Retrieval for Embodied Decision-Making
Apr 8, 2026Zhaowen Fan, Rongchao Zhang, Yunxiang HanCase-Based Reasoning Embodied Navigation
School of Computer Science, Sichuan University, Chengdu 610065, China
GraphWalker: Patient Analogy Meets Information Gain for Clinical Reasoning with Large Language Models
Apr 8, 2026Yue Fang, Weibin Liao, Yuxin Guo +8Case-Based Reasoning Clinical Reasoning
School of Computer Science, Peking University, Beijing, China · National Engineering Research Center for Software Engineering, Peking University, Beijing, China
DomAgent: Leveraging Knowledge Graphs and Case-Based Reasoning for Domain-Specific Code Generation
Mar 22, 2026Shuai Wang, Dhasarathy Parthasarathy, Robert Feldt +1Case-Based Reasoning Code Generation
Chalmers University of Technology, Gothenburg, Sweden · Volvo Group, Gothenburg, Sweden
CBR-to-SQL: Rethinking Retrieval-based Text-to-SQL using Case-based Reasoning in the Healthcare Domain
Mar 5, 2026Hung Nguyen, Hans Moen, Pekka MarttinenCase-Based Reasoning Text-to-SQL
Department of Computer Science Aalto University · Department of Clinical Medicine Aalborg University
MED-COPILOT: A Medical Assistant Powered by GraphRAG and Similar Patient Case Retrieval
Feb 28, 2026Shuheng Chen, Namratha Patil, Haonan Pan +4Case-Based Reasoning Clinical Decision Support
University of Southern California

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Enhancing Academic Advisement with Case-Based Reasoning

Tanat Tonguthaisri

RMIT University School of Electrical and Computer Engineering

Recommender Systems Educational Technology Case-Based Reasoning

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This research involved the study of an application of Case-Based Reasoning (CBR) in the field of academic advising. Academic advisement has been recognised as an important function of higher education. However, there is a widespread desire to improve the advisement services provided by many educational institutions (e.g., colleges and universities) around the world. In the last ten years, CBR expert systems have made important contributions in many domains by applying CBR methodology to a variety of areas of human problem solving. However, to date, expert advisement systems have not been successfully applied to academic advisement, which seems to be a very appropriate domain for this technology. Academic advising is an important and time consuming task, and different tools and techniques must be used to make it an effective and efficient process. This thesis describes the design, development, and validation of a prototype case-based academic advisement recommender system that supplements the conventional advising process, and could eventually evolve to replace human academic advisors when its full potential is realised.