Annotation-Efficient Universal Honesty Alignment
Fuente:
arXiv
Saved in:
| Main Authors: | Ni, Shiyu, Bi, Keping, Guo, Jiafeng, Tang, Minghao, Wu, Jingtong, Han, Zengxin, Cheng, Xueqi |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Understanding Parametric Knowledge Injection in Retrieval-Augmented Generation
by: Tang, Minghao, et al.
Published: (2025)
by: Tang, Minghao, et al.
Published: (2025)
How Knowledge Popularity Influences and Enhances LLM Knowledge Boundary Perception
by: Ni, Shiyu, et al.
Published: (2025)
by: Ni, Shiyu, et al.
Published: (2025)
When Do LLMs Need Retrieval Augmentation? Mitigating LLMs' Overconfidence Helps Retrieval Augmentation
by: Ni, Shiyu, et al.
Published: (2024)
by: Ni, Shiyu, et al.
Published: (2024)
Injecting External Knowledge into the Reasoning Process Enhances Retrieval-Augmented Generation
by: Tang, Minghao, et al.
Published: (2025)
by: Tang, Minghao, et al.
Published: (2025)
Towards Fully Exploiting LLM Internal States to Enhance Knowledge Boundary Perception
by: Ni, Shiyu, et al.
Published: (2025)
by: Ni, Shiyu, et al.
Published: (2025)
Are Large Language Models More Honest in Their Probabilistic or Verbalized Confidence?
by: Ni, Shiyu, et al.
Published: (2024)
by: Ni, Shiyu, et al.
Published: (2024)
MORE: Multi-mOdal REtrieval Augmented Generative Commonsense Reasoning
by: Cui, Wanqing, et al.
Published: (2024)
by: Cui, Wanqing, et al.
Published: (2024)
Utility-Focused LLM Annotation for Retrieval and Retrieval-Augmented Generation
by: Zhang, Hengran, et al.
Published: (2025)
by: Zhang, Hengran, et al.
Published: (2025)
An Iterative Utility Judgment Framework Inspired by Philosophical Relevance via LLMs
by: Zhang, Hengran, et al.
Published: (2024)
by: Zhang, Hengran, et al.
Published: (2024)
LINKAGE: Listwise Ranking among Varied-Quality References for Non-Factoid QA Evaluation via LLMs
by: Yang, Sihui, et al.
Published: (2024)
by: Yang, Sihui, et al.
Published: (2024)
Beyond Relevance: Utility-Centric Retrieval in the LLM Era
by: Zhang, Hengran, et al.
Published: (2026)
by: Zhang, Hengran, et al.
Published: (2026)
Estimating Commonsense Plausibility through Semantic Shifts
by: Cui, Wanqing, et al.
Published: (2025)
by: Cui, Wanqing, et al.
Published: (2025)
Evaluating Implicit Bias in Large Language Models by Attacking From a Psychometric Perspective
by: Wen, Yuchen, et al.
Published: (2024)
by: Wen, Yuchen, et al.
Published: (2024)
Do LVLMs Know What They Know? A Systematic Study of Knowledge Boundary Perception in LVLMs
by: Ding, Zhikai, et al.
Published: (2025)
by: Ding, Zhikai, et al.
Published: (2025)
How Long Reasoning Chains Influence LLMs' Judgment of Answer Factuality
by: Tu, Minzhu, et al.
Published: (2026)
by: Tu, Minzhu, et al.
Published: (2026)
How Do LLM-Generated Texts Impact Term-Based Retrieval Models?
by: Huang, Wei, et al.
Published: (2025)
by: Huang, Wei, et al.
Published: (2025)
A Comparative Study of Specialized LLMs as Dense Retrievers
by: Zhang, Hengran, et al.
Published: (2025)
by: Zhang, Hengran, et al.
Published: (2025)
LLM-Specific Utility: A New Perspective for Retrieval-Augmented Generation
by: Zhang, Hengran, et al.
Published: (2025)
by: Zhang, Hengran, et al.
Published: (2025)
Bagging-Based Model Merging for Robust General Text Embeddings
by: Zhang, Hengran, et al.
Published: (2026)
by: Zhang, Hengran, et al.
Published: (2026)
Alignment for Honesty
by: Yang, Yuqing, et al.
Published: (2023)
by: Yang, Yuqing, et al.
Published: (2023)
Distilling a Small Utility-Based Passage Selector to Enhance Retrieval-Augmented Generation
by: Zhang, Hengran, et al.
Published: (2025)
by: Zhang, Hengran, et al.
Published: (2025)
Unleashing the Power of LLMs in Dense Retrieval with Query Likelihood Modeling
by: Zhang, Hengran, et al.
Published: (2025)
by: Zhang, Hengran, et al.
Published: (2025)
MVAM: Multi-View Attention Method for Fine-grained Image-Text Matching
by: Cui, Wanqing, et al.
Published: (2024)
by: Cui, Wanqing, et al.
Published: (2024)
CLIPure: Purification in Latent Space via CLIP for Adversarially Robust Zero-Shot Classification
by: Zhang, Mingkun, et al.
Published: (2025)
by: Zhang, Mingkun, et al.
Published: (2025)
Evaluating and Calibrating LLM Confidence on Questions with Multiple Correct Answers
by: Wang, Yuhan, et al.
Published: (2026)
by: Wang, Yuhan, et al.
Published: (2026)
Iterative Structured Pruning for Large Language Models with Multi-Domain Calibration
by: Wu, Guangxin, et al.
Published: (2026)
by: Wu, Guangxin, et al.
Published: (2026)
Contextual Dual Learning Algorithm with Listwise Distillation for Unbiased Learning to Rank
by: Yu, Lulu, et al.
Published: (2024)
by: Yu, Lulu, et al.
Published: (2024)
Bridging Queries and Tables through Entities in Table Retrieval
by: Li, Da, et al.
Published: (2025)
by: Li, Da, et al.
Published: (2025)
Tailoring Table Retrieval from a Field-aware Hybrid Matching Perspective
by: Li, Da, et al.
Published: (2025)
by: Li, Da, et al.
Published: (2025)
Reproducibility Analysis and Enhancements for Multi-Aspect Dense Retriever with Aspect Learning
by: Bi, Keping, et al.
Published: (2024)
by: Bi, Keping, et al.
Published: (2024)
CIR at the NTCIR-17 ULTRE-2 Task
by: Yu, Lulu, et al.
Published: (2023)
by: Yu, Lulu, et al.
Published: (2023)
Controlling Risk of Retrieval-augmented Generation: A Counterfactual Prompting Framework
by: Chen, Lu, et al.
Published: (2024)
by: Chen, Lu, et al.
Published: (2024)
Class-Incremental Few-Shot Event Detection
by: Zhao, Kailin, et al.
Published: (2024)
by: Zhao, Kailin, et al.
Published: (2024)
Towards Event Extraction with Massive Types: LLM-based Collaborative Annotation and Partitioning Extraction
by: Liu, Wenxuan, et al.
Published: (2025)
by: Liu, Wenxuan, et al.
Published: (2025)
EGAD: Entropy-Guided Adaptive Distillation for Token-Level Knowledge Transfer
by: Zhang, Hao, et al.
Published: (2026)
by: Zhang, Hao, et al.
Published: (2026)
MI-PRUN: Optimize Large Language Model Pruning via Mutual Information
by: Zhang, Hao, et al.
Published: (2026)
by: Zhang, Hao, et al.
Published: (2026)
CausalDiff: Causality-Inspired Disentanglement via Diffusion Model for Adversarial Defense
by: Zhang, Mingkun, et al.
Published: (2024)
by: Zhang, Mingkun, et al.
Published: (2024)
Towards Robust Universal Information Extraction: Benchmark, Evaluation, and Solution
by: Zhu, Jizhao, et al.
Published: (2025)
by: Zhu, Jizhao, et al.
Published: (2025)
A Survey on the Honesty of Large Language Models
by: Li, Siheng, et al.
Published: (2024)
by: Li, Siheng, et al.
Published: (2024)
A Unified Causal View of Instruction Tuning
by: Chen, Lu, et al.
Published: (2024)
by: Chen, Lu, et al.
Published: (2024)
Similar Items
-
Understanding Parametric Knowledge Injection in Retrieval-Augmented Generation
by: Tang, Minghao, et al.
Published: (2025) -
How Knowledge Popularity Influences and Enhances LLM Knowledge Boundary Perception
by: Ni, Shiyu, et al.
Published: (2025) -
When Do LLMs Need Retrieval Augmentation? Mitigating LLMs' Overconfidence Helps Retrieval Augmentation
by: Ni, Shiyu, et al.
Published: (2024) -
Injecting External Knowledge into the Reasoning Process Enhances Retrieval-Augmented Generation
by: Tang, Minghao, et al.
Published: (2025) -
Towards Fully Exploiting LLM Internal States to Enhance Knowledge Boundary Perception
by: Ni, Shiyu, et al.
Published: (2025)