Recursive Reasoner

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4 papers in the last four weeks, up 33% on the four weeks before. 0.0% of all new papers.

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Latest papers 22

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Training-Free Clinical Reasoning through Medical Ontologies and Cognitive Mapping: A Symbolic-Probabilistic Knowledge Graph Framework
Sep 28, 2026Surajit DasClinical Prediction Biomedical Knowledge Graph
Reasoning on the Simplex: Geometric Fixed-Point Models
Sep 27, 2026Talgat Daulbaev, Ilya Glazkov, Maxim Rakhuba +1Recursive Reasoner Simplex
Applied AI Institute · LigandPro · HSE University +1
Learning Better Reasoning for Generative Recommendation with Semantic IDs
Sep 24, 2026Mengdan Zhu, Yufan Zhao, Sophie Di +5Sequential Recommendation Cross-Encoder Reranking
Emory University Atlanta, GA, USA · Microsoft Redmond, WA, USA · Cornell University Ithaca, NY, USA
From Collaboration to Capability: Internalizing Routed LLM Experts into Compact Reasoners
Sep 14, 2026Frank Nie, Shuyao Wang, Ethan B. LiuRecursive Reasoner Experts
Shandong University · Zhejiang University
PerfReasoning: How Well Do LLMs Reason on Hardware Performance?
Sep 3, 2026Dan Zhao, Karthikeyan Sankaralingam, Christos Kozyrakis +1LLM Reasoning Strategies Large Language Model Benchmarks
NVIDIA
Diffusion as a Training Curriculum for Timestep-Free Iterative Reasoning
Sep 1, 2026Mariia Drozdova, Aidan Sirbu, Pietro Miotti +4Functional Code Solvers Denoising Diffusion Probabilistic Model
1Google, Paradigms of Intelligence Team · School of Computer Science, McGill University · 4Mila - Quebec AI Institute +3
From Reasoning Depth to Reasoning Breadth: Evaluating Multi-Point Associative Reasoning in Large Language Models
Aug 11, 2026Si'an Xie, Jiaxun Liu, Biao Yang +4Large Language Model Benchmarks Reasoning Skills
Beijing University of Posts and Telecommunications · Peking University · Kuaishou Technology
EffectLearner: World-Aware Object-Effect Reasoning for Real-World Video Object Removal
Aug 6, 2026Feier Wu, Wanke Xia, Xu He +8Video Object Removal Object-Centric Representations
Tsinghua University · China Agricultural University · Jiangnan University +1
Recovering Explanations from Transformed Rule-Based Ontologies
Jul 31, 2026Alex Ivliev, Markus Krötzsch, Maximilian MarxOntology Recursive Reasoner
Knowledge-Based Systems Group, TU Dresden, Dresden, Germany
Beyond the Best Teacher: Expanding and Compressing the Reasoning Solution Manifold
Jul 30, 2026Songshuo Lu, Zhi Chen, Yaohua TangTeacher Recursive Reasoner
Moore Threads AI
SEER: Supervised Learning to Control Energetic Reasoning
Jul 17, 2026Sascha Van Cauwelaert, Michele Lombardi, Pierre SchausConstraint Satisfaction Recursive Reasoner
Universit´e Catholique de Louvain · Universit`a di Bologna
What Survives When You Compress a Recursive Reasoner for the Edge?
Jun 25, 2026Pearse Jim, Steven Kolawole, Opegbemi Matthias Busoye +2Compressed Model Recursive Reasoner
ML Collective · Carnegie Mellon University
Tractable Reasoning and Conjunctive Query Answering for Defeasible DL-Lite under Rational Closure
Jun 23, 2026Giovanni Casini, Umberto StracciaRecursive Reasoner Rationality
CNR - ISTI · University of Cape Town · Istituto di Scienza e Tecnologie dell’Informazione, CNR - ISTI, Pisa, Italy +1
Depth-Entropy Guided Sampling for Training-Free LLM Reasoning
Jun 19, 2026Zibin Meng, Peng Xie, Kani ChenLLM Reasoning Strategies Recursive Reasoner
1The Hong Kong University of Science and Technology
From Reasoning Traces to Reusable Modules: Understanding Compositional Generalization in Language Model Reasoning
Jun 16, 2026Lingjing Kong, Xin Liu, Guangyi Chen +9LLM Reasoning Strategies Compositional Generalization
Carnegie Mellon University · Mohamed bin Zayed University of Artificial Intelligence · Institute of Foundation Models +1
High Quality Embeddings for Horn Logic Reasoning
May 19, 2026Yifan Zhang, Yasir White, Dean Clark +4Recursive Reasoner Text Embeddings
Lehigh University, Computer Science and Engineering, 113 Research Dr., Bethlehem, PA, 18015 · Los Angeles Pierce College, Computer Science, 6201 Winnetka Ave, Woodland Hills, CA 91367 · Colorado College, Computer Science, 14 E Cache La Poudre St, Colorado Springs, CO 80903
Seirênes: Adversarial Self-Play with Evolving Distractions for LLM Reasoning
May 12, 2026Chi Zhang, Haibo Qiu, Qiming Zhang +3LLM Reasoning Strategies Recursive Reasoner
School of Computer Science, Wuhan University · Meituan Inc · Independent Researchers +1
AgentPSO: Evolving Agent Reasoning Skill via Multi-agent Particle Swarm Optimization
May 9, 2026Hyunmin Hwang, Jaemin Kim, Choonghan Kim +2Multi-Agent Reasoning Reasoning Benchmark
Graduate School of Artificial Intelligence, Korea Advanced Institute of Science and Technology, Seoul, South Korea.
Hint Tuning: Less Data Makes Better Reasoners
May 9, 2026Siqi Fan, Minghao Li, Xiaoqian Ma +6Large Reasoning Models Recursive Reasoner
University of Electronic Science and Technology of China · Xiaohongshu Inc. · National University of Singapore
Goal-Driven Reasoning in DatalogMTL with Magic Sets
Dec 10, 2024Shaoyu Wang, Kaiyue Zhao, Dongliang Wei +4Recursive Reasoner Temporal Reasoning
School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, China · Department of Computer Science, University of Oxford, UK · School of Electronic Engineering and Computer Science, Queen Mary University of London, UK
Querying and Repairing Inconsistent Prioritized Knowledge Bases: Complexity Analysis and Links with Abstract Argumentation
Mar 12, 2020Meghyn Bienvenu, Camille BourgauxArgumentation Frameworks Entailment
CNRS & University of Bordeaux, France · DI ENS, ENS, CNRS, PSL University & Inria, Paris, France
Scaling Online Complex Event Detection with Synthetic Supervision and Mamba-Based Neural Algorithmic Reasoning
Date pendingLiying Han, Gaofeng Dong, Xiaomin Ouyang +4Streaming Inference Unsupervised Detection
Department of Electrical and Computer Engineering University of California, Los Angeles · Department of Computer Science and Engineering Hong Kong University of Science and Technology · U.S. Army DEVCOM Army Research Laboratory +1

Sep 28, 2026, cs.AIJ/K move · Enter open · S save

Training-Free Clinical Reasoning through Medical Ontologies and Cognitive Mapping: A Symbolic-Probabilistic Knowledge Graph Framework

Surajit Das

Clinical Prediction Biomedical Knowledge Graph Medical Ontology Knowledge Graphs Recursive Reasoner Fuzzy Cognitive Map+1

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Most clinical prediction systems learn patient-variable-outcome associations; we investigate a training-free diagnostic paradigm mapping patient observations to explicit medical knowledge. CKG Reasoner integrates candidate-specific Evidence Feature Nodes, patient-reference matching, a bounded Information Gate, knowledge-weighted evidence accumulation, disease similarity, and decisive clinical rules. Missing-aware normalization and coverage auditing distinguish absent from unavailable evidence. Candidate ranking is separate from outcome-label-independent K-means clustering, which uses four derived evidence coordinates (evidence strength, relative magnitude, directional similarity, and evidence completeness), not raw predictors or targets, to derive cohort-level assignments. Across six retrospective cohorts - four dengue (N = 1000, 1523, 989, 1018), malaria (N = 2190), and influenza (N = 4569) - a uniform, label-free, cohort-fitted K = 2 protocol yielded positive-class F1 scores of 0.996, 0.634, 0.936, 0.917, 0.695, and 0.842, and all-record accuracies of 0.996, 0.558, 0.914, 0.893, 0.707, and 0.906, respectively, with full partition-decision coverage using the frozen package and disease-specific knowledge representations. Neither scoring nor clustering uses outcome labels. Logistic regression provides a supervised baseline. Influenza incorporates confirmatory molecular PCR and is not independent pre-test prediction. Results characterize knowledge-grounded evidence separation, auditability, and sensitivity, not prospective clinical validity or comparative superiority. FOL/LLM-based clinical explanation remains unevaluated.

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