Leveraging Implicit Sentiments: Enhancing Reliability and Validity in Psychological Trait Evaluation of LLMs
Fuente:
arXiv
Saved in:
| Main Authors: | Ma, Huanhuan, Gong, Haisong, Yi, Xiaoyuan, Xie, Xing, Xu, Dongkuan |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
ToolNet: Connecting Large Language Models with Massive Tools via Tool Graph
by: Liu, Xukun, et al.
Published: (2024)
by: Liu, Xukun, et al.
Published: (2024)
AdAEM: An Adaptively and Automated Extensible Measurement of LLMs' Value Difference
by: Yao, Jing, et al.
Published: (2025)
by: Yao, Jing, et al.
Published: (2025)
CLAVE: An Adaptive Framework for Evaluating Values of LLM Generated Responses
by: Yao, Jing, et al.
Published: (2024)
by: Yao, Jing, et al.
Published: (2024)
Unintended Harms of Value-Aligned LLMs: Psychological and Empirical Insights
by: Choi, Sooyung, et al.
Published: (2025)
by: Choi, Sooyung, et al.
Published: (2025)
The Incomplete Bridge: How AI Research (Mis)Engages with Psychology
by: Jiang, Han, et al.
Published: (2025)
by: Jiang, Han, et al.
Published: (2025)
RVISA: Reasoning and Verification for Implicit Sentiment Analysis
by: Lai, Wenna, et al.
Published: (2024)
by: Lai, Wenna, et al.
Published: (2024)
Multi-Task Learning with LLMs for Implicit Sentiment Analysis: Data-level and Task-level Automatic Weight Learning
by: Lai, Wenna, et al.
Published: (2024)
by: Lai, Wenna, et al.
Published: (2024)
On the Essence and Prospect: An Investigation of Alignment Approaches for Big Models
by: Wang, Xinpeng, et al.
Published: (2024)
by: Wang, Xinpeng, et al.
Published: (2024)
PICACO: Pluralistic In-Context Value Alignment of LLMs via Total Correlation Optimization
by: Jiang, Han, et al.
Published: (2025)
by: Jiang, Han, et al.
Published: (2025)
Comparative Analysis of Pooling Mechanisms in LLMs: A Sentiment Analysis Perspective
by: Xing, Jinming, et al.
Published: (2024)
by: Xing, Jinming, et al.
Published: (2024)
Heterogeneous Graph Reasoning for Fact Checking over Texts and Tables
by: Gong, Haisong, et al.
Published: (2024)
by: Gong, Haisong, et al.
Published: (2024)
IROTE: Human-like Traits Elicitation of Large Language Model via In-Context Self-Reflective Optimization
by: Bai, Yuzhuo, et al.
Published: (2025)
by: Bai, Yuzhuo, et al.
Published: (2025)
Mitigating Misalignment Contagion by Steering with Implicit Traits
by: Chang, Maria, et al.
Published: (2026)
by: Chang, Maria, et al.
Published: (2026)
Leveraging Professional Radiologists' Expertise to Enhance LLMs' Evaluation for Radiology Reports
by: Zhu, Qingqing, et al.
Published: (2024)
by: Zhu, Qingqing, et al.
Published: (2024)
Towards Robust Pruning: An Adaptive Knowledge-Retention Pruning Strategy for Language Models
by: Li, Jianwei, et al.
Published: (2023)
by: Li, Jianwei, et al.
Published: (2023)
Adaptive Draft-Verification for Efficient Large Language Model Decoding
by: Liu, Xukun, et al.
Published: (2024)
by: Liu, Xukun, et al.
Published: (2024)
MotiveBench: How Far Are We From Human-Like Motivational Reasoning in Large Language Models?
by: Yong, Xixian, et al.
Published: (2025)
by: Yong, Xixian, et al.
Published: (2025)
Beyond Human Norms: Unveiling Unique Values of Large Language Models through Interdisciplinary Approaches
by: Biedma, Pablo, et al.
Published: (2024)
by: Biedma, Pablo, et al.
Published: (2024)
Psychological Steering in LLMs: An Evaluation of Effectiveness and Trustworthiness
by: Banayeeanzade, Amin, et al.
Published: (2025)
by: Banayeeanzade, Amin, et al.
Published: (2025)
Implicit Sentiment Analysis Based on Chain of Thought Prompting
by: Duan, Zhihua, et al.
Published: (2024)
by: Duan, Zhihua, et al.
Published: (2024)
Rationale Behind Essay Scores: Enhancing S-LLM's Multi-Trait Essay Scoring with Rationale Generated by LLMs
by: Chu, SeongYeub, et al.
Published: (2024)
by: Chu, SeongYeub, et al.
Published: (2024)
On Robustness and Reliability of Benchmark-Based Evaluation of LLMs
by: Lunardi, Riccardo, et al.
Published: (2025)
by: Lunardi, Riccardo, et al.
Published: (2025)
CharacterBox: Evaluating the Role-Playing Capabilities of LLMs in Text-Based Virtual Worlds
by: Wang, Lei, et al.
Published: (2024)
by: Wang, Lei, et al.
Published: (2024)
NAG: A Unified Native Architecture for Encoder-free Text-Graph Modeling in Language Models
by: Gong, Haisong, et al.
Published: (2026)
by: Gong, Haisong, et al.
Published: (2026)
Beyond Natural Language: LLMs Leveraging Alternative Formats for Enhanced Reasoning and Communication
by: Chen, Weize, et al.
Published: (2024)
by: Chen, Weize, et al.
Published: (2024)
Characterizing and Evaluating the Reliability of LLMs against Jailbreak Attacks
by: Chen, Kexin, et al.
Published: (2024)
by: Chen, Kexin, et al.
Published: (2024)
Towards Reliable Evaluation of Behavior Steering Interventions in LLMs
by: Pres, Itamar, et al.
Published: (2024)
by: Pres, Itamar, et al.
Published: (2024)
Inference Scaled GraphRAG: Improving Multi Hop Question Answering on Knowledge Graphs
by: Thompson, Travis, et al.
Published: (2025)
by: Thompson, Travis, et al.
Published: (2025)
How Reliable Are Automatic Evaluation Methods for Instruction-Tuned LLMs?
by: Doostmohammadi, Ehsan, et al.
Published: (2024)
by: Doostmohammadi, Ehsan, et al.
Published: (2024)
Raising the Bar: Investigating the Values of Large Language Models via Generative Evolving Testing
by: Jiang, Han, et al.
Published: (2024)
by: Jiang, Han, et al.
Published: (2024)
Denevil: Towards Deciphering and Navigating the Ethical Values of Large Language Models via Instruction Learning
by: Duan, Shitong, et al.
Published: (2023)
by: Duan, Shitong, et al.
Published: (2023)
Can LLMs replace Neil deGrasse Tyson? Evaluating the Reliability of LLMs as Science Communicators
by: Bajpai, Prasoon, et al.
Published: (2024)
by: Bajpai, Prasoon, et al.
Published: (2024)
HyKGE: A Hypothesis Knowledge Graph Enhanced Framework for Accurate and Reliable Medical LLMs Responses
by: Jiang, Xinke, et al.
Published: (2023)
by: Jiang, Xinke, et al.
Published: (2023)
Pre-trained Large Language Models for Financial Sentiment Analysis
by: Luo, Wei, et al.
Published: (2024)
by: Luo, Wei, et al.
Published: (2024)
Scientific Knowledge-driven Decoding Constraints Improving the Reliability of LLMs
by: Ma, Maotian, et al.
Published: (2026)
by: Ma, Maotian, et al.
Published: (2026)
Implicit Bias in LLMs: A Survey
by: Lin, Xinru, et al.
Published: (2025)
by: Lin, Xinru, et al.
Published: (2025)
A Survey on Evaluation of Large Language Models
by: Chang, Yupeng, et al.
Published: (2023)
by: Chang, Yupeng, et al.
Published: (2023)
Psychometric Item Validation Using Virtual Respondents with Trait-Response Mediators
by: Lim, Sungjib, et al.
Published: (2025)
by: Lim, Sungjib, et al.
Published: (2025)
PaperAsk: A Benchmark for Reliability Evaluation of LLMs in Paper Search and Reading
by: Wu, Yutao, et al.
Published: (2025)
by: Wu, Yutao, et al.
Published: (2025)
Backtesting Sentiment Signals for Trading: Evaluating the Viability of Alpha Generation from Sentiment Analysis
by: Pontes, Elvys Linhares, et al.
Published: (2025)
by: Pontes, Elvys Linhares, et al.
Published: (2025)
Similar Items
-
ToolNet: Connecting Large Language Models with Massive Tools via Tool Graph
by: Liu, Xukun, et al.
Published: (2024) -
AdAEM: An Adaptively and Automated Extensible Measurement of LLMs' Value Difference
by: Yao, Jing, et al.
Published: (2025) -
CLAVE: An Adaptive Framework for Evaluating Values of LLM Generated Responses
by: Yao, Jing, et al.
Published: (2024) -
Unintended Harms of Value-Aligned LLMs: Psychological and Empirical Insights
by: Choi, Sooyung, et al.
Published: (2025) -
The Incomplete Bridge: How AI Research (Mis)Engages with Psychology
by: Jiang, Han, et al.
Published: (2025)