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4 papers in the last four weeks, down 43% on the four weeks before. 0.0% of all new papers.

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Structured Claim-Level Discourse Representations for Dense Health Narratives
Sep 16, 2026Farnoushsadat Nilizadeh, Elham Pourabbas Vafa, Shirin Nilizadeh +1Discourse Coarse
Temple University · University of Texas at Arlington
Grasping by interconnection: robust closing motions from coarse object templates
Sep 16, 2026Julien Vanderheyden, Guillaume Drion, Fulvio Forni +1Robotic Grasping Robotic Hands
Department of Electrical Engineering and Computer Science, University of Liège, Belgium · Department of Engineering, University of Cambridge, United Kingdom
Two-Scale Localized PCA-Net: Coarse-Global and Local-Residual Representations for Artifact-Reduced PDE Operator Learning
Sep 7, 2026Mrigank Dhingra, Jordan Stout, Omer SanPartial Differential Equations Multi-Scale Convolution
Department of Mechanical & Aerospace Engineering University of Tennessee Knoxville, Tennessee 37917, USA · Department of Mathematics and Statistics Boston University Boston, Massachusetts 02215, USA
Coarse composition suffices: tabular in-context learning for multi-activity antimicrobial peptide profiling
Aug 31, 2026Raunak Kumar, Anuj Pal, Dhruvi Solanki +3Antimicrobial Peptide Multi-Label Classification
Department of Electronics and Communication Engineering, Indian Institute of Technology Roorkee, Roorkee 247667, Uttarakhand, India · Department of Bioengineering, Indian Institute of Science, Bengaluru 560012, Karnataka, India · Department of Electrical Engineering, Indian Institute of Technology Roorkee, Roorkee 247667,2026 Uttarakhand, India +1
CLAM: Causal Spatial Disaggregation to Infer Local Effects From Coarse Data
Aug 8, 2026Gerrit Großmann, Sumantrak Mukherjee, Sebastian J. VollmerCovariates Coarse
DFKI∗ · RPTU
A Multi-Agent Framework for Automated Coarse-Grained Molecular Dynamics of Polymers
Aug 7, 2026Joohee Choi, Junhyeong Lee, Seunghwa RyuPolymer Property Prediction Molecular Dynamics
Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea · KAIST InnoCORE PRISM-AI Center, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea · Department of AX, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea
GAUGE: Granularity-Adaptive Counterfactual Gating of Evidence for Incomplete Multimodal Classification
Aug 6, 2026Yunping Shi, En Yu, Kairui Guo +1Multimodal Classification Counterfactual Learning
Australian Artificial Intelligence Institute (AAII), University of Technology Sydney (UTS), Australia
Computationally Efficient Collaborative Communication Via Regularity-Based Coarsening
Aug 5, 2026Mark Bedaywi, Scott Emmons, Nika Haghtalab +1Multi-Agent Coordination Protocol
University of California, Berkeley
Learning and Clustering on Temporal Graphs: Principles, Primitives, and Pooling
Aug 4, 2026Nelson Aloysio Reis de Almeida Passos, Emanuele Carlini, Salvatore TraniTemporal Graph Neural Networks Community Detection
University of Pisa, Dept. of Computer Science, 56127 Pisa PI, Italy · National Research Council, 56124 Pisa PI, Italy
Data Driven Equation Discovery for Phase-Ordering Dynamics : From Allen Cahn to the Ising Model
Aug 4, 2026Partha Sarathi Mondal, Manav Kumar Jalan, Anish Kumar +1Spatial Photonic Ising Machines Coarse
Department of Physics, Indian Institute of Technology (BHU) Varanasi, India 221005
Detail Continuation over a Trustworthy Coarse Scale for Autoregressive Super-Resolution
Aug 3, 2026Hongyi Fang, Jiahui Wu, Yichen Yue +2Generative Super-Resolution Reconstruction Fidelity
Does Graph Compression Preserve Signal Propagation?
Jul 25, 2026Kawshik Banerjee, Khaled Mohammed SaifuddinGraph Edge Sparsification Data Compression Methods
School of Computing, Southern Illinois University, Carbondale, IL, USA
How Token Influence Decays with Distance: A Green-Function View of Trained Language Models
Jun 28, 2026Matthias Brändel, Stephan Köhler, Oliver RheinbachAutoregressive Transformers Next-Token Prediction
Faculty of Mathematics and Computer Science Technische Universität Bergakademie Freiberg, Freiberg, Germany
Neural Network Implementation of the Renormalization Group for Fault Diagnosis with Class Imbalance
Jun 16, 2026Evgeny Nikulchev, Dmitry IlinFault Diagnosis Renormalization Group
MIREA – Russian Technological University, Moscow, Russia
Rank Collapse, Fixed Points, and the Renormalization Group Structure of MLP Residual Networks
Jun 9, 2026Parviz Haggi-Mani, Irina RishResidual Networks Renormalization Group
Universit´e de Montr´eal · Mila - Quebec AI Institute
From Coarse to Fine: Managing Temporal Granularity in Spatio-Temporal Data for Fine-Grained Traffic Prediction
Jun 8, 2026Shuhao Li, Weidong Yang, Yue Cui +4Accurate Traffic Forecasting Spatiotemporal
College of Computer Science and Artificial Intelligence, Fudan University, Shanghai 200082, China · Tongyi Lab, Alibaba Group, Cloud Valley, NO.1008 Dengcai Street, Xihu District, Hangzhou 310020, China · The Hong Kong University of Science and Technology, Hong Kong SAR 999077, China +1
Everything at Every Scale: Scale-Invariant Diffusion with Continuous Super-Resolution
May 25, 2026Zixin Jessie Chen, Zhuo Chen, Archer Wang +4Diffusion Models Imagenet
Department of Physics, Massachusetts Institute of Technology · NSF AI Institute for Artificial Intelligence and Fundamental Interactions · Institute for Data, Systems and Society, Massachusetts Institute of Technology +1
CoarseSoundNet: Building a reliable model for ecological soundscape analysis
May 20, 2026Alexander Gebhard, Andreas Triantafyllopoulos, Dominik Arend +4Passive Acoustic Monitoring Coarse
TUM University Hospital, CHI – Chair of Health Informatics, Ismaninger Str.2026 22, Munich, 81675, Bavaria, Germany · MCML – Munich Center for Machine Learning, Munich, Bavaria, Germany · University of Freiburg, Faculty of Biology, Geobotany, Schaenzlestr. 1, Freiburg, 79104, Baden-Württemberg, Germany +1
H2G: Hierarchy-Aware Hyperbolic Grouping for 3D Scenes
May 12, 2026ByungHa Ko, Youngmin Lee, Dong Hwan KimHyperbolic Space Coarse
Department of Computer Science and Engineering, Korea University · Intelligence and Interaction Research Center, Korea Institute of Science and Technology
Equivalence of Coarse and Fine-Grained Models for Learning with Distribution Shift
May 7, 2026Adam R. Klivans, Shyamal Patel, Konstantinos Stavropoulos +1Learnability Distribution Shifts
UT Austin · Columbia University
Acceleration of horizontal numerical advection for atmospheric modeling through surrogate modeling with temporal coarse-graining
Apr 30, 2026Manho Park, Christopher V. Rackauckas, Christopher W. TessumOne-Dimensional Viscous Burgers Equation Surrogate Models
The Grainger College of Engineering, Department of Civil and Environmental Engineering, University of Illinois Urbana-Champaign · Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA
From Coarse to Fine: Benchmarking and Reward Modeling for Writing-Centric Generation Tasks
Apr 30, 2026Qingyu Ren, Tianjun Pan, Xingzhou Chen +1Ai-Assisted Writing Offline Reinforcement Learning
Shanghai Key Laboratory of Data Science, College of Computer Science and Artificial Intelligence, Fudan University · 2Shanghai Artificial Intelligence Laboratory
Learning Rate Engineering: From Coarse Single Parameter to Layered Evolution
Apr 30, 2026Ming-Hong Yao, Di Wang, Jian Cui +5Batch Stochastic Gradient Descent
School of AI, Jilin International Sciences University, Changchun, China.
From Coarse to Fine: Self-Adaptive Hierarchical Planning for LLM Agents
Apr 25, 2026Haoran Tan, Zeyu Zhang, Chen Ma +3Multi-Agent Planning Large Language Model Agents
Gaoling School of Artificial, Renmin University of China, Beijing, China · Huawei Noah’s Ark Lab
Coarsening Bias from Variable Discretization in Causal Functionals
Feb 25, 2026Xiaxian Ou, Razieh NabiDiscretization Coarse
Department of Biostatistics and Bioinformatics, Emory University, Atlanta, GA, U.S.A.
Modeling The Object Representations Underlying Human Physical Reasoning
Feb 12, 2026Andrey Gizdov, Andrea Procopio, Lorenzo Caputi +4Cognitive Science Objects
Harvard University · Weizmann Institute of Science · Bocconi University

Sep 16, 2026, cs.CLJ/K move · Enter open · S save

Structured Claim-Level Discourse Representations for Dense Health Narratives

Farnoushsadat Nilizadeh, Elham Pourabbas Vafa, Shirin Nilizadeh, Eduard Dragut

Temple University · University of Texas at Arlington

Discourse Coarse

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Health discourse in social media videos often contains densely entangled claims spanning multiple thematic aspects, stances, evidential frames, and rhetorical functions within short conversational spans. Existing approaches largely rely on coarse topic-level, sentiment-based, or stance-oriented representations that do not adequately capture this structure. Our analysis identifies an average of 13.22 atomic claims per minute, motivating richer claim-level discourse representations. We introduce a structured framework for claim-level discourse analysis in dense health narratives. Our framework models discourse through tuples linking atomic claims with thematic aspects, stance, and multidimensional pragmatic discourse attributes. To support this setting, we construct a benchmark spanning four health domains with 1,191 manually annotated claims from 60 videos. Using this framework, we evaluate automated structured discourse analysis under different discourse context settings. Results show that current LLMs achieve strong performance on thematic categorization and stance prediction, but struggle with high-dimensional pragmatic profiling. We also find that different discourse tasks benefit from different forms of contextual reasoning, suggesting that future systems may require task decomposition and specialized inference strategies.

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Latest papers 26