Evidential Learning

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Period ending 2026-09-14

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A weekly snapshot of new work published in Evidential Learning.

41 papers

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Record Grouping Controls Evidence Weight in Language Models
Sep 8, 2026Zhongxuan Liu, Sicheng Zhou, Hongzhi WangGroup Controlled Study
CatchBench: When Can an Agent Failure Be Caught?
Aug 24, 2026Yue Zhao, Mengyuan Li, Ruolin Li +5Algorithm Auditing Evidential Learning
Robust Dempster-Shafer Evidence Fusion with Chaos-Conflict Measurement and Historical-Experience Weighting
Aug 13, 2026Huiyu Li, Weibo Liu, Xinru Xu +3Evidential Learning Conflict
ELVAE: Evidential Learning-Based Variational Autoencoder for Uncertainty-Aware Generation
Aug 11, 2026Ge WangVariational Autoencoder Evidential Learning
Conformal Fusion Under Missing Modalities
Aug 7, 2026Alireza MoayedikiaMissing Modalities Multimodal Fusion
Evidential Rule Learning for Interpretable Classification with Abstention
Aug 6, 2026Javier Fumanal-Idocin, Javier Andreu-PerezEvidential Learning Abstention
The Ignition Is Real, and It Lives at the Readout: Latent composition, difficulty-clocked ignition, and the interface-constituted commit in a recurrent-depth reasoner
Aug 4, 2026Simon Lam-MuirEfficient Latent Reasoning Readout
What Language Does and What the Evidence Supports: A Functional Role Taxonomy and Evidence Audit of Language Grounding in Embodied Agents
Aug 4, 2026Yifan Guo, Chenghao Li, Zhu Wang +6Multilingual Agents Embodied
ELECTRIC: Evidential Learning-Enhanced CT Reconstruction via Iterative Correction
Jul 27, 2026Ge WangImage Reconstruction Evidential Learning
What AI Red-Team Evaluations Can and Cannot Prove
Jul 23, 2026Bandana KaurArtificial Intelligence Evaluation Red-Teaming
HierarchicalDAEW: Domain-Aware Edge-Weighted Graph Convolution with Evidential Uncertainty for Multi-Section Spatial Gene Expression Prediction from H&E Histology
Jul 23, 2026Kritanu Chattopadhyay, Soumya Chatterjee, Ondrej Krejcar +1Spatial Transcriptomics Computational Pathology
Should Missing Modalities Always Be Necessary to Repair for Multi-modal Sentiment Analysis?
Jul 19, 2026Yubo Gao, Haotian Wu, Xiaoyu Xu +9Missing Modalities Sentiment Analysis
Adapting Evidential Neural Networks to Test-Time Neighbor Fusion Improves Molecular Property Prediction
Jul 13, 2026Cameron Gruich, Weichi Yao, Yixin Wang +1Molecular Property Prediction Evidential Learning
EvidentialRAG: Quantifying and Mitigating Information Conflict in Multi-Source Retrieval-Augmented Generation via Evidential Deep Learning
Jul 11, 2026S M Asif Hossain, Ruksat Khan Shayoni, M. F. MridhaMulti-Source Retrieval-Augmented Generation Knowledge Conflicts
Validity of LLMs as data annotators: AMALIA on authority
Jul 9, 2026Manuel PitaHuman Annotators Validity
TMF-RSE: Tri-Modal Fusion with Regional Semantics and Evidential Uncertainty for Lung Severity Scoring
Jul 7, 2026Fadi Abdeladhim Zidi, Salah Eddine Bekhouche, Abdellah Zakaria Sellam +3Calibrated Severity Multimodal Clinical Data
CHARLIE: An On-Premise Multi-Agent Retrieval-Augmented Generation System for Evidential Reasoning in Forensic Science
Jul 1, 2026Leandro D. Carneiro, Andre L. S. Meirelles, Juliano de A. Gomes +1Digital Forensics Multimedia Forensics
Towards Generalizable and Evidential Nuclear Magnetic Resonance-Based Molecular Structure Elucidation via Large Language Model Agent
Jun 29, 2026Zheng Fang, Chen Yang, Yusen Tan +9Molecular Structure Elucidation Vast Chemical Space
Manufactured Confidence: How Memory Consolidation Turns Hearsay into Confident Facts
Jun 28, 2026Alex KwonLiar Facts
ELDiff: When Evidential Learning Meets Text-to-Image Diffusion
Jun 18, 2026Qingtao Pan, Kai Ye, Zhihao Dou +2Text-To-Image Diffusion Models Text-To-Image
Set-Preserving Calibration from Conformal P-Values to E-Values
Jun 2, 2026Nabil Alami, Jad Zakharia, Souhaib Ben TaiebConformal Inference Evidential Learning
Variational Inference for Evidential Deep Learning
May 26, 2026Jiawei Tang, Xinyan Du, Hui Liu +2Evidential Learning Variational Inference
Generalized Evidential Deep Learning: From a Bayesian Perspective
May 25, 2026Yuanye Liu, Yibo Gao, Yuanyang Chen +1Evidential Learning Bayesian
Plug-in Losses for Evidential Deep Learning: A Simplified Framework for Uncertainty Estimation that Includes the Softmax Classifier
May 21, 2026Berk Hayta, Hannah Laus, Simon Mittermaier +1Evidential Learning Cross-Entropy Losses
Trust It or Not: Evidential Uncertainty for Feed-Forward 3D Reconstruction with Trust3R
May 19, 2026Zihao Zhu, Wenyuan Zhao, Nuo Chen +2Feed-Forward 3D Reconstruction 3D Object Understanding
Concept-Guided Noisy Negative Suppression for Zero-Shot Classification and Grounding of Chest X-Ray Findings
May 19, 2026Chenyu Lian, Hong-Yu Zhou, Chun-Ka Wong +1Chest X-Ray Medical Vision-Language Models
BESplit: Bias-Compensated Split Federated Learning with Evidential Aggregation
May 17, 2026Yuhan Xie, Chen Lyu, Jingrong HuangFederated Learning Fairness-Aware Learning
Evidential Information Fusion on Possibilistic Structure
May 16, 2026Qianli Zhou, Ye Cui, Zhen Li +2Evidential Learning Bayesian
Belief Engine: Configurable and Inspectable Stance Dynamics in Multi-Agent LLM Deliberation
May 14, 2026Joshua C. Yang, Maurice Flechtner, Damian Dailisan +1Belief Opinion Dynamics
Evidential Reasoning Advances Interpretable Real-World Disease Screening
May 14, 2026Chenyu Lian, Hong-Yu Zhou, Jing QinScreening Evidential Learning
Position: Behavioural Assurance Cannot Verify the Safety Claims Governance Now Demands
May 14, 2026Pratinav Seth, Vinay Kumar SankarapuAssurance Artificial Intelligence Safety
Principle-Guided Supervision for Interpretable Uncertainty in Medical Image Segmentation
May 9, 2026An Sui, Yuzhu Li, Gunter Schumann +2Medical Image Segmentation Input Uncertainties
Change My View? The Dynamics of Persuasion and Polarization in Online Discourse
May 8, 2026David Freeborn, Malihe Alikani, Anthony SiciliaPersuasion Abstract Argumentation
Revisiting Uncertainty: On Evidential Learning for Partially Relevant Video Retrieval
May 7, 2026Jun Li, Peifeng Lai, Xuhang Lou +5Videos Multimodal Retrieval
GEM-FI: Gated Evidential Mixtures with Fisher Modulation
May 5, 2026Marco Mustafa Mohammed, Fatemeh Daneshfar, Pietro LiòEvidential Learning Epistemic Uncertainty
State Representation and Termination for Recursive Reasoning Systems
May 2, 2026Debashis Guha, Amritendu Mukherjee, Sanjay Kukreja +1Initial Human Belief Distributions Epistemic Stance
UAU-Net: Uncertainty-aware Representation Learning and Evidential Classification for Facial Action Unit Detection
Apr 23, 2026Yuze Li, Zhilei LiuUncertainty-Aware Fusion Facial Expression Recognition
EviDep: Uncertainty-Aware Multimodal Depression Estimation via Disentangled Evidential Learning
Apr 17, 2026Fangyuan Liu, Sirui Zhao, Yangsong Zhang +5Depression Detection Evidential Learning
Evidential Perfusion Physics-Informed Neural Networks with Residual Uncertainty Quantification
Mar 10, 2026Junhyeok Lee, Minseo Choi, Han Jang +5Conventional Physics-Informed Neural Networks Stroke
Toward Efficient Uncertainty in LLMs through Evidential Knowledge Distillation
Jul 24, 2025Lakshmana Sri Harsha Nemani, P. K. Srijith, Tomasz KuśmierczykLarge Language Model Uncertainty Knowledge Distillation
SCREP: Scene Coordinate Regression and Evidential Learning-based Perception-Aware Trajectory Generation
Jul 10, 2025Juyeop Han, Lukas Lao Beyer, Guilherme V. Cavalheiro +1Trajectory Prediction Autonomous Navigation

Sep 8, 2026 · cs.CLJ/K move · Enter open · S save

Record Grouping Controls Evidence Weight in Language Models

Zhongxuan Liu, Sicheng Zhou, Hongzhi Wang

Faculty of Computing, Harbin Institute of Technology

Retrieved records are presentation units; a supplied partition determines which records enter a language model as one evidential contribution. We characterize the invariant group-content state that removes within-group copies while retaining complementary canonical content, show that equal group counts can encode different evidence states, and derive a sharp content-aware partition-error bound. Given a supplied partition, our pre-generation representation deduplicates and aggregates content within groups and bounds each group's contribution. Across 104,402 trials and 6 public checkpoints, a central natural-text intervention finds that content-fixed false splits add 10.27-32.66 percentage points and false merges remove 9.13-31.79 points; a matched six-slot control retains the positive direction in all 16 cells. In a new 48-item controlled campaign panel, changing the supplied partition produces measurable, checkpoint-dependent decision shifts across all four models, and the balanced mirror design exposes substantial order interactions. Together, the theory and experiments establish the supplied partition as a controllable pre-generation representation variable and characterize its checkpoint-dependent behavioral effects.

Group Controlled Study Evidential Learning Semantic Deduplication

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