Copertina

Machine Mindset: An MBTI Exploration of Large Language Models

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Cui, Jiaxi, Lv, Liuzhenghao, Wen, Jing, Wang, Rongsheng, Tang, Jing, Tian, YongHong, Yuan, Li
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

AnyTaskTune: Advanced Domain-Specific Solutions through Task-Fine-Tuning
di: Cui, Jiaxi, et al.
Pubblicazione: (2024)

BioProBench: Comprehensive Dataset and Benchmark in Biological Protocol Understanding and Reasoning
di: Liu, Yuyang, et al.
Pubblicazione: (2025)

Can Large Language Models Understand You Better? An MBTI Personality Detection Dataset Aligned with Population Traits
di: Li, Bohan, et al.
Pubblicazione: (2024)

ProLLaMA: A Protein Large Language Model for Multi-Task Protein Language Processing
di: Lv, Liuzhenghao, et al.
Pubblicazione: (2024)

Fusian: Multi-LoRA Fusion for Fine-Grained Continuous MBTI Personality Control in Large Language Models
di: Chen, Zehao, et al.
Pubblicazione: (2026)

Chatlaw: A Multi-Agent Collaborative Legal Assistant with Knowledge Graph Enhanced Mixture-of-Experts Large Language Model
di: Cui, Jiaxi, et al.
Pubblicazione: (2023)

HoLLMwood: Unleashing the Creativity of Large Language Models in Screenwriting via Role Playing
di: Chen, Jing, et al.
Pubblicazione: (2024)

GCoder: Improving Large Language Model for Generalized Graph Problem Solving
di: Zhang, Qifan, et al.
Pubblicazione: (2024)

IndiVec: An Exploration of Leveraging Large Language Models for Media Bias Detection with Fine-Grained Bias Indicators
di: Lin, Luyang, et al.
Pubblicazione: (2024)

How to Detect and Defeat Molecular Mirage: A Metric-Driven Benchmark for Hallucination in LLM-based Molecular Comprehension
di: Li, Hao, et al.
Pubblicazione: (2025)

PocketLLM: Ultimate Compression of Large Language Models via Meta Networks
di: Tian, Ye, et al.
Pubblicazione: (2025)

From Post To Personality: Harnessing LLMs for MBTI Prediction in Social Media
di: Ma, Tian, et al.
Pubblicazione: (2025)

Cognitive Alignment in Personality Reasoning: Leveraging Prototype Theory for MBTI Inference
di: Li, Haoyuan, et al.
Pubblicazione: (2025)

CARPAS: Towards Content-Aware Refinement of Provided Aspects for Summarization in Large Language Models
di: Tian, Yong-En, et al.
Pubblicazione: (2025)

Do Androids Dream of Unseen Puppeteers? Probing for a Conspiracy Mindset in Large Language Models
di: Corso, Francesco, et al.
Pubblicazione: (2025)

CharacterBench: Benchmarking Character Customization of Large Language Models
di: Zhou, Jinfeng, et al.
Pubblicazione: (2024)

BeLLM: Backward Dependency Enhanced Large Language Model for Sentence Embeddings
di: Li, Xianming, et al.
Pubblicazione: (2023)

Thinking Before Speaking: A Role-playing Model with Mindset
di: Zhang, Baohua, et al.
Pubblicazione: (2024)

Explainable Fake News Detection With Large Language Model via Defense Among Competing Wisdom
di: Wang, Bo, et al.
Pubblicazione: (2024)

Leveraging Biases in Large Language Models: "bias-kNN'' for Effective Few-Shot Learning
di: Zhang, Yong, et al.
Pubblicazione: (2024)

Fast Thinking for Large Language Models
di: Zheng, Haoyu, et al.
Pubblicazione: (2025)

FourierMoE: Fourier Mixture-of-Experts Adaptation of Large Language Models
di: Jiang, Juyong, et al.
Pubblicazione: (2026)

Culture-Aware Machine Translation in Large Language Models: Benchmarking and Investigation
di: Yuan, Zekun, et al.
Pubblicazione: (2026)

CounterBench: Evaluating and Improving Counterfactual Reasoning in Large Language Models
di: Chen, Yuefei, et al.
Pubblicazione: (2025)

From Classification to Ranking: Enhancing LLM Reasoning Capabilities for MBTI Personality Detection
di: Cao, Yuan, et al.
Pubblicazione: (2026)

An Exploration of Higher Education Course Evaluation by Large Language Models
di: Yuan, Bo, et al.
Pubblicazione: (2024)

Optimal ANN-SNN Conversion with Group Neurons
di: Lv, Liuzhenghao, et al.
Pubblicazione: (2024)

Causal Inference with Large Language Model: A Survey
di: Ma, Jing
Pubblicazione: (2024)

Response Attack: Exploiting Contextual Priming to Jailbreak Large Language Models
di: Miao, Ziqi, et al.
Pubblicazione: (2025)

LLM4Decompile: Decompiling Binary Code with Large Language Models
di: Tan, Hanzhuo, et al.
Pubblicazione: (2024)

Towards Coarse-to-Fine Evaluation of Inference Efficiency for Large Language Models
di: Chen, Yushuo, et al.
Pubblicazione: (2024)

Pre-training Distillation for Large Language Models: A Design Space Exploration
di: Peng, Hao, et al.
Pubblicazione: (2024)

BlendFilter: Advancing Retrieval-Augmented Large Language Models via Query Generation Blending and Knowledge Filtering
di: Wang, Haoyu, et al.
Pubblicazione: (2024)

Assisting Research Proposal Writing with Large Language Models: Evaluation and Refinement
di: Ren, Jing, et al.
Pubblicazione: (2025)

How to Make Large Language Models Generate 100% Valid Molecules?
di: Tao, Wen, et al.
Pubblicazione: (2025)

Astra: Activation-Space Tail-Eigenvector Low-Rank Adaptation of Large Language Models
di: Liu, Kainan, et al.
Pubblicazione: (2026)

A Survey on Mixture of Experts in Large Language Models
di: Cai, Weilin, et al.
Pubblicazione: (2024)

Dynamic Attention-Guided Context Decoding for Mitigating Context Faithfulness Hallucinations in Large Language Models
di: Huang, Yanwen, et al.
Pubblicazione: (2025)

SGSH: Stimulate Large Language Models with Skeleton Heuristics for Knowledge Base Question Generation
di: Guo, Shasha, et al.
Pubblicazione: (2024)

Enhancing Metaphor Detection through Soft Labels and Target Word Prediction
di: Jia, Kaidi, et al.
Pubblicazione: (2024)