Saved in:
| Main Authors: | Lin, Xixun, Zhou, Zhiheng, Zhang, Zhengyin, Chen, Yancheng, Zhang, Shuai, Zhang, Ge, Zhu, Shichao, Zou, Lixin, Zhou, Chuan, Zhang, Peng, Pan, Shirui, Cao, Yanan |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2605.30786 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Equivariant Hypergraph Diffusion for Crystal Structure Prediction
by: Liu, Yang, et al.
Published: (2025)
by: Liu, Yang, et al.
Published: (2025)
Do not Abstain! Identify and Solve the Uncertainty
by: Liu, Jingyu, et al.
Published: (2025)
by: Liu, Jingyu, et al.
Published: (2025)
Decision-focused Graph Neural Networks for Combinatorial Optimization
by: Liu, Yang, et al.
Published: (2024)
by: Liu, Yang, et al.
Published: (2024)
Evidential Spectrum-Aware Contrastive Learning for OOD Detection in Dynamic Graphs
by: Sun, Nan, et al.
Published: (2025)
by: Sun, Nan, et al.
Published: (2025)
When In Doubt, Abstain: The Impact of Abstention on Strategic Classification
by: Alkarmi, Lina, et al.
Published: (2025)
by: Alkarmi, Lina, et al.
Published: (2025)
CIA: Inferring the Communication Topology from LLM-based Multi-Agent Systems
by: Wu, Yongxuan, et al.
Published: (2026)
by: Wu, Yongxuan, et al.
Published: (2026)
Enhancing Large Language Model for Knowledge Graph Completion via Structure-Aware Alignment-Tuning
by: Liu, Yu, et al.
Published: (2025)
by: Liu, Yu, et al.
Published: (2025)
Teaching LLMs to Abstain across Languages via Multilingual Feedback
by: Feng, Shangbin, et al.
Published: (2024)
by: Feng, Shangbin, et al.
Published: (2024)
Interpretable and Fair Mechanisms for Abstaining Classifiers
by: Lenders, Daphne, et al.
Published: (2025)
by: Lenders, Daphne, et al.
Published: (2025)
Interpretable and Fair Mechanisms for Abstaining Classifiers
by: Lenders, Daphne, et al.
Published: (2024)
by: Lenders, Daphne, et al.
Published: (2024)
Abstaining Machine Learning -- Philosophical Considerations
by: Schuster, Daniela
Published: (2024)
by: Schuster, Daniela
Published: (2024)
Hard Constraints Meet Soft Generation: Guaranteed Feasibility for LLM-based Combinatorial Optimization
by: Liu, Yang, et al.
Published: (2026)
by: Liu, Yang, et al.
Published: (2026)
Know When to Abstain: Optimal Selective Classification with Likelihood Ratios
by: Heng, Alvin, et al.
Published: (2025)
by: Heng, Alvin, et al.
Published: (2025)
Teaching LLMs to Abstain via Fine-Grained Semantic Confidence Reward
by: An, Hao, et al.
Published: (2025)
by: An, Hao, et al.
Published: (2025)
Uncertainty-Aware Graph Neural Networks: A Multi-Hop Evidence Fusion Approach
by: Chen, Qingfeng, et al.
Published: (2025)
by: Chen, Qingfeng, et al.
Published: (2025)
Unraveling Privacy Risks of Individual Fairness in Graph Neural Networks
by: Zhang, He, et al.
Published: (2023)
by: Zhang, He, et al.
Published: (2023)
Trust or Abstain? A Self-Aware RAG Approach
by: Zhu, Xi, et al.
Published: (2026)
by: Zhu, Xi, et al.
Published: (2026)
When to Speak, When to Abstain: Contrastive Decoding with Abstention
by: Kim, Hyuhng Joon, et al.
Published: (2024)
by: Kim, Hyuhng Joon, et al.
Published: (2024)
When Silence Is Golden: Can LLMs Learn to Abstain in Temporal QA and Beyond?
by: Zhou, Xinyu, et al.
Published: (2026)
by: Zhou, Xinyu, et al.
Published: (2026)
Clarify, Abstain or Answer? Strategising in Conversation with Belief-Augmented Generation
by: Baan, Joris, et al.
Published: (2026)
by: Baan, Joris, et al.
Published: (2026)
Knowing When to Abstain: Medical LLMs Under Clinical Uncertainty
by: Machcha, Sravanthi, et al.
Published: (2026)
by: Machcha, Sravanthi, et al.
Published: (2026)
Attribute or Abstain: Large Language Models as Long Document Assistants
by: Buchmann, Jan, et al.
Published: (2024)
by: Buchmann, Jan, et al.
Published: (2024)
PrivGNN: High-Performance Secure Inference for Cryptographic Graph Neural Networks
by: Wang, Fuyi, et al.
Published: (2025)
by: Wang, Fuyi, et al.
Published: (2025)
The Confidence Gate Theorem: When Should Ranked Decision Systems Abstain?
by: Doku, Ronald
Published: (2026)
by: Doku, Ronald
Published: (2026)
CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention
by: Sun, Yuxi, et al.
Published: (2025)
by: Sun, Yuxi, et al.
Published: (2025)
Fine-Tuning Large Language Models to Appropriately Abstain with Semantic Entropy
by: Tjandra, Benedict Aaron, et al.
Published: (2024)
by: Tjandra, Benedict Aaron, et al.
Published: (2024)
Detecting Multimodal Situations with Insufficient Context and Abstaining from Baseless Predictions
by: Liu, Junzhang, et al.
Published: (2024)
by: Liu, Junzhang, et al.
Published: (2024)
Abstain and Validate: A Dual-LLM Policy for Reducing Noise in Agentic Program Repair
by: Cambronero, José, et al.
Published: (2025)
by: Cambronero, José, et al.
Published: (2025)
CktGNN: Circuit Graph Neural Network for Electronic Design Automation
by: Dong, Zehao, et al.
Published: (2023)
by: Dong, Zehao, et al.
Published: (2023)
Hypergraph Neural Diffusion: A PDE-Inspired Framework for Hypergraph Message Passing
by: Zhou, Zhiheng, et al.
Published: (2026)
by: Zhou, Zhiheng, et al.
Published: (2026)
Do LLMs Know Tool Irrelevance? Demystifying Structural Alignment Bias in Tool Invocations
by: Liu, Yilong, et al.
Published: (2026)
by: Liu, Yilong, et al.
Published: (2026)
E2GNN: Efficient Graph Neural Network Ensembles for Semi-Supervised Classification
by: Zhang, Xin, et al.
Published: (2024)
by: Zhang, Xin, et al.
Published: (2024)
Combinatorial Optimization with Automated Graph Neural Networks
by: Liu, Yang, et al.
Published: (2024)
by: Liu, Yang, et al.
Published: (2024)
Graph Neural Networks for Graphs with Heterophily: A Survey
by: Zheng, Xin, et al.
Published: (2022)
by: Zheng, Xin, et al.
Published: (2022)
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
by: Zhang, He, et al.
Published: (2022)
by: Zhang, He, et al.
Published: (2022)
Test-time GNN Model Evaluation on Dynamic Graphs
by: Li, Bo, et al.
Published: (2025)
by: Li, Bo, et al.
Published: (2025)
SafeHarness: Lifecycle-Integrated Security Architecture for LLM-based Agent Deployment
by: Lin, Xixun, et al.
Published: (2026)
by: Lin, Xixun, et al.
Published: (2026)
Graph Stochastic Neural Process for Inductive Few-shot Knowledge Graph Completion
by: Zhao, Zicheng, et al.
Published: (2024)
by: Zhao, Zicheng, et al.
Published: (2024)
Act, Think or Abstain: Complexity-Aware Adaptive Inference for Vision-Language-Action Models
by: Izzo, Riccardo Andrea, et al.
Published: (2026)
by: Izzo, Riccardo Andrea, et al.
Published: (2026)
Don't Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM Collaboration
by: Feng, Shangbin, et al.
Published: (2024)
by: Feng, Shangbin, et al.
Published: (2024)
Similar Items
-
Equivariant Hypergraph Diffusion for Crystal Structure Prediction
by: Liu, Yang, et al.
Published: (2025) -
Do not Abstain! Identify and Solve the Uncertainty
by: Liu, Jingyu, et al.
Published: (2025) -
Decision-focused Graph Neural Networks for Combinatorial Optimization
by: Liu, Yang, et al.
Published: (2024) -
Evidential Spectrum-Aware Contrastive Learning for OOD Detection in Dynamic Graphs
by: Sun, Nan, et al.
Published: (2025) -
When In Doubt, Abstain: The Impact of Abstention on Strategic Classification
by: Alkarmi, Lina, et al.
Published: (2025)