Structured Reasoning

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7 papers in the last four weeks, up 40% on the four weeks before. 0.1% of all new papers.

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Spatial Reasoning via Modality Switching Between Language and Symbolic Representations
Jun 30, 2026Shreya Rajpal, Tanawan Premsri, Parisa KordjamshidiMultimodal Grounding Multimodal Reasoning
Department of Computer Science and Engineering Michigan State University Michigan, USA
The Complexity Ceiling Benchmark: A Multi-Domain Evaluation of Sequential Reasoning Under Depth Scaling
Jun 28, 2026Shubh Chapra, Dhruv Kumar, Murari Mandal +1LLM Evaluation Structured Reasoning
BITS Pilani, Pilani Campus · KIIT Bhubaneswar
Travel-Oriented Reasoning Large Language Model via Domain-Specific Knowledge Graphs
Jun 28, 2026Vignesh Ram Nithin Kappagantula, Shayan Hassantabar, Samuel Simpson +1LLM Grounding LLM Reasoning with Graphs
Expedia Group Seattle, Washington, USA
Flow Reasoning Models: Turning Flows Into Efficient Recurrent Reasoners
Jun 28, 2026Alec Helbling, Andrey Bryutkin, Mauro Martino +3Structured Reasoning Flow-Based Generative Modeling
1Georgia Tech · 3MIT-IBM Computing Research Lab · 4IBM Research +1
ThinkProbe: Beyond Accuracy -- Structural Profiling of Open-Ended LLM Reasoning Traces via Non-Generative Thought Graphs
Jun 27, 2026Mohamed Amine Kerkouri, Simon D. Hernandez, Marouane Tliba +3LLM Reasoning with Graphs Structured Reasoning
F-Initiatives, Paris, France · Université sorbonne Paris Nord, Villetaneuse , France
What Survives When You Compress a Recursive Reasoner for the Edge?
Jun 25, 2026Pearse Jim, Steven Kolawole, Opegbemi Matthias Busoye +2Model Compression Efficient Neural Network Inference
ML Collective · Carnegie Mellon University
Retrieval-Warmed Energy-Based Reasoning: A Five-Arm Ablation Methodology for Diffusion-as-Inference on Structured Reasoning Tasks
Jun 25, 2026Libo Sun, Po-Wei Harn, Zewei Zhang +2Diffusion Sampling Energy-Based Models
Department of Computer Science and Software Engineering, Auburn University, Auburn, AL 36830, USA · Department of Information Management, National Central University, Taoyuan 320317, Taiwan
VeryTrace: Verifying Reasoning Traces through Compilable Formalism and Structured Verification
Jun 23, 2026Ninghan Zhong, Ahmet Ege Tanriverdi, Kaan Kale +1Formal Verification Structured Reasoning
School of Electrical and Computer Engineering, Georgia Institute of Technology, USA · Department of Electrical and Computer Engineering, Bogazici University, Turkey
Structured Inference with Large Language Gibbs
Jun 17, 2026Sanghyeok Choi, Henry Gouk, Esmeralda S. WhitammerMarkov Chain Monte Carlo LLM Inference
University of Edinburgh, School of Informatics · 2CIFAR Fellow, Learning in Machines and Brains
DeFAb: A Verifiable Benchmark for Defeasible Abduction in Foundation Models
Jun 17, 2026Patrick Cooper, Alvaro VelasquezLLM Evaluation Abductive Reasoning
University of Colorado Boulder
Operads for compositional reasoning in LLMs
Jun 11, 2026Nathaniel Bottman, Kyle RichardsonMulti-Hop QA Compositional Reasoning
Incubilate, Seattle, USA · Allen Institute for Artificial Intelligence, Seattle, USA
SciR: A Controllable Benchmark for Scientific Reasoning in LLMs
Jun 11, 2026Pierre Beckmann, Marco Valentino, Andre FreitasLLM Evaluation Scientific Reasoning
Idiap Research Institute, Switzerland · EPFL, Switzerland · School of Computer Science, University of Sheffield, UK +2
Capacity, Not Format: Rethinking Structured Reasoning Failures
Jun 8, 2026Hengxin FanLLM Evaluation Structured Prompting
Tianjin Normal University
A Comprehensive Anatomy of Human and DeepSeek-R1 LLM Mathematical Reasoning
Jun 5, 2026Yuxiang Chen, Jun WangCoT Reasoning Structured Reasoning
UCL Centre for Artificial Intelligence
Beyond Vector Similarity: A Structural Analysis of Graph-Augmented Retrieval for Industrial Knowledge Graphs
Jun 4, 2026Grama ChethanLLM Reasoning with Graphs LLM Planning
Siemens Digital Industries Software
Imbuing Large Language Models with Bidirectional Logic for Robust Chain Repair
Jun 3, 2026Zehua Cheng, Wei Dai, Jiahao Sun +1LLM Self-Correction Symbolic Reasoning
Department of Computer Science, University of Oxford, UK · Institute of Logic and Computation, TU Wien, Austria
Reasoning Structure of Large Language Models
Jun 2, 2026Frédéric Berdoz, Luca A. Lanzendörfer, Fabian Farestam +1Logical Reasoning LLM Evaluation
1ETH Zurich, Switzerland.
Temporal Evidence Routing with Structured Visual Evidence for TimeLogicQA
May 31, 2026Yuyang Sun, Yongliang Wu, Xingyu Zhu +8Video QA Structured Reasoning
Southeast University · National University of Singapore · Independent Researcher +2
LinTree: Improving LLM Reasoning with Explicitly Structured Search Histories
May 29, 2026Liwei Kang, Yee Whye Teh, Wee Sun LeeInference-Time Search Tree of Thoughts
National University of Singapore · University of Oxford
Knowing What to Solve Before How: Preplan Empowered LLM Mathematical Reasoning
May 28, 2026Shaojie Wang, Liang ZhangLLM Planning Structured Reasoning
Hong Kong University of Science and Technology (Guangzhou)
TRACE: Toulmin-based Reasoning Assessment through Constructive Elements for LLM CoT Evaluation
May 28, 2026Yundong Kim, Heyoung YangLLM Evaluation Language Model Generation Evaluation
Applied Agent Research Center, Korea Institute of Science and Technology Information (KISTI), Republic of Korea · Department of Computer Science and Engineering, University of Seoul, Republic of Korea.
ReasonOps: Operator Segmentation for LLM Reasoning Traces
May 28, 2026Daniel Lee, Owen Queen, James ZouCoT Evaluation CoT Reasoning
Stanford University
ProvMind: Provenance-grounded reasoning for materials synthesis
May 27, 2026Yiming Zhang, Ryo Tamura, Koji TsudaReasoning Evaluation Materials Science
Graduate School of Frontier Sciences, The University of Tokyo, Chiba, Japan. · Center for Basic Research on Materials, National Institute for Materials Science, Tsukuba, Ibaraki, Japan. · RIKEN Center for Advanced Intelligence Project, Tokyo, Japan.
Boosting Inference with Guided Reasoning: Stochastic Exploration for Recursive Models
May 24, 2026Andrew Corbett, Archit Sood, Anna Tzatzopoulou +2Inference-Time Search Structured Reasoning
digiLab, UK · University of Bristol, UK
HyperGuide: Hyperbolic Guidance for Efficient Multi-Step Reasoning in Large Language Models
May 22, 2026Yuyu Liu, Haotian Xu, Yanan He +3LLM Fine-Tuning Efficient Language Model Reasoning
Department of Computer Science Stony Brook University · Department of Applied Mathematics and Statistics Stony Brook University · Department of Computer Science Yale University +2
MindLoom: Composing Thought Modes for Frontier-Level Reasoning Data Synthesis
May 20, 2026Haiyang Shen, Taian Guo, Xuanzhong Chen +11Synthetic Data Generation Structured Reasoning
1Peking University · 2Tsinghua University
Reasoning-Trace Collapse: Evaluating the Loss of Explicit Reasoning During Fine-Tuning
May 20, 2026Lukas Twist, Helen Yannakoudakis, Jie M. ZhangSupervised Fine-Tuning Reasoning Evaluation
King’s College London London, UK
What Really Improves Mathematical Reasoning: Structured Reasoning Signals Beyond Pure Code
May 19, 2026Yuze Zhao, Junpeng Fang, Lu Yu +6Structured Reasoning LLM Code Generation
State Key Laboratory of Cognitive Intelligence, University of Science and Technology of China, Hefei, China · Individual Researcher · Institute of Artificial Intelligence, Hefei Comprehensive National Science Center +1
Step-wise Rubric Rewards for LLM Reasoning
May 17, 2026Weichu Xie, Haozhe Zhao, Wenpu Liu +15Reward Modeling Credit Assignment in RL
Peking University · JD Explore Academy · Shanghai Jiao Tong University +2
From Table to Cell: Attention for Better Reasoning with TABALIGN
May 14, 2026Tung Sum Thomas Kwok, Zeyong Zhang, Xinyu Wang +6Table QA Structured Reasoning
University of California, Los Angeles · SimpleWay · New Jersey Institute of Technology +4

Jun 30, 2026, cs.AIJ/K move · Enter open · S save

Spatial Reasoning via Modality Switching Between Language and Symbolic Representations

Shreya Rajpal, Tanawan Premsri, Parisa Kordjamshidi

Department of Computer Science and Engineering Michigan State University Michigan, USA

Multimodal Grounding Multimodal Reasoning Structured Reasoning Spatial Reasoning LLM Reasoning

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Human reasoning is inherently multimodal: when problems become difficult, we rarely think in words alone. We often externalize our reasoning by sketching diagrams or drawing grids to understand the underlying conceptual structure and avoid mistakes. Building on this premise, our research investigates: (a) whether grounding multi-hop textual-spatial stories into geometry-aware modalities, such as layouts or grids, improves reasoning compared to natural language-based inference; and (b) whether a model can decide when to rely on natural language reasoning and when to switch to a structured modality. We address these questions by introducing a switching metric based on trustworthiness and complexity signals, which estimates when grounding a spatial story into structure is likely to improve performance. This takes a first step toward principled modality selection in Large Language Model (LLM) reasoning. Across our settings, switching from natural language-based reasoning to a grid-based representation improves LLM performance by up to 42%, highlighting the importance of modality choice in shaping reasoning outcomes.

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