Image de couverture de livre

Do LLMs Have Distinct and Consistent Personality? TRAIT: Personality Testset designed for LLMs with Psychometrics

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Lee, Seungbeen, Lim, Seungwon, Han, Seungju, Oh, Giyeong, Chae, Hyungjoo, Chung, Jiwan, Kim, Minju, Kwak, Beong-woo, Lee, Yeonsoo, Lee, Dongha, Yeo, Jinyoung, Yu, Youngjae
Format:	Preprint
Publié:	2024
Sujets:	Computation and Language Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

ToolHaystack: Stress-Testing Tool-Augmented Language Models in Realistic Long-Term Interactions
par: Kwak, Beong-woo, et autres
Publié: (2025)

One Missing Piece for Open-Source Reasoning Models: A Dataset to Mitigate Cold-Starting Short CoT LLMs in RL
par: Chae, Hyungjoo, et autres
Publié: (2025)

Persona Dynamics: Unveiling the Impact of Personality Traits on Agents in Text-Based Games
par: Lim, Seungwon, et autres
Publié: (2025)

Pearl: A Review-driven Persona-Knowledge Grounded Conversational Recommendation Dataset
par: Kim, Minjin, et autres
Publié: (2024)

VerifiNER: Verification-augmented NER via Knowledge-grounded Reasoning with Large Language Models
par: Kim, Seoyeon, et autres
Publié: (2024)

Evidence-Focused Fact Summarization for Knowledge-Augmented Zero-Shot Question Answering
par: Ko, Sungho, et autres
Publié: (2024)

Can visual language models resolve textual ambiguity with visual cues? Let visual puns tell you!
par: Chung, Jiwan, et autres
Publié: (2024)

Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models
par: Chae, Hyungjoo, et autres
Publié: (2024)

Rethinking Reward Model Evaluation Through the Lens of Reward Overoptimization
par: Kim, Sunghwan, et autres
Publié: (2025)

Can You Share Your Story? Modeling Clients' Metacognition and Openness for LLM Therapist Evaluation
par: Kim, Minju, et autres
Publié: (2025)

HIPPO-Video: Simulating Watch Histories with Large Language Models for Personalized Video Highlighting
par: Lee, Jeongeun, et autres
Publié: (2025)

Embodied Agents Meet Personalization: Investigating Challenges and Solutions Through the Lens of Memory Utilization
par: Kwon, Taeyoon, et autres
Publié: (2025)

Evaluating Robustness of Reward Models for Mathematical Reasoning
par: Kim, Sunghwan, et autres
Publié: (2024)

AgenticShop: Benchmarking Agentic Product Curation for Personalized Web Shopping
par: Kim, Sunghwan, et autres
Publié: (2026)

CONDESION-BENCH: Conditional Decision-Making of Large Language Models in Compositional Action Space
par: Hwang, Yeonjun, et autres
Publié: (2026)

Random Is Hard to Beat: Active Selection in online DPO with Modern LLMs
par: Oh, Giyeong, et autres
Publié: (2026)

Web Agents with World Models: Learning and Leveraging Environment Dynamics in Web Navigation
par: Chae, Hyungjoo, et autres
Publié: (2024)

Coffee-Gym: An Environment for Evaluating and Improving Natural Language Feedback on Erroneous Code
par: Chae, Hyungjoo, et autres
Publié: (2024)

MASS: Overcoming Language Bias in Image-Text Matching
par: Chung, Jiwan, et autres
Publié: (2025)

Train-Attention: Meta-Learning Where to Focus in Continual Knowledge Learning
par: Seo, Yeongbin, et autres
Publié: (2024)

Quantifying Genuine Awareness in Hallucination Prediction Beyond Question-Side Shortcuts
par: Seo, Yeongbin, et autres
Publié: (2025)

Unveiling Implicit Table Knowledge with Question-Then-Pinpoint Reasoner for Insightful Table Summarization
par: Seo, Kwangwook, et autres
Publié: (2024)

Towards Lifelong Dialogue Agents via Timeline-based Memory Management
par: Ong, Kai Tzu-iunn, et autres
Publié: (2024)

Can Code-Switched Texts Activate a Knowledge Switch in LLMs? A Case Study on English-Korean Code-Switching
par: Kim, Seoyeon, et autres
Publié: (2024)

Towards Visual Text Design Transfer Across Languages
par: Choi, Yejin, et autres
Publié: (2024)

Is Functional Correctness Enough to Evaluate Code Language Models? Exploring Diversity of Generated Codes
par: Chon, Heejae, et autres
Publié: (2024)

SEAL: Entangled White-box Watermarks on Low-Rank Adaptation
par: Oh, Giyeong, et autres
Publié: (2025)

YA-TA: Towards Personalized Question-Answering Teaching Assistants using Instructor-Student Dual Retrieval-augmented Knowledge Fusion
par: Yang, Dongil, et autres
Publié: (2024)

Investigating Counterfactual Unfairness in LLMs towards Identities through Humor
par: Kim, Shubin, et autres
Publié: (2026)

Verifying the Verifiers: Unveiling Pitfalls and Potentials in Fact Verifiers
par: Seo, Wooseok, et autres
Publié: (2025)

Cactus: Towards Psychological Counseling Conversations using Cognitive Behavioral Theory
par: Lee, Suyeon, et autres
Publié: (2024)

LLM Meets Scene Graph: Can Large Language Models Understand and Generate Scene Graphs? A Benchmark and Empirical Study
par: Yang, Dongil, et autres
Publié: (2025)

Review-driven Personalized Preference Reasoning with Large Language Models for Recommendation
par: Kim, Jieyong, et autres
Publié: (2024)

LEGO-Eval: Towards Fine-Grained Evaluation on Synthesizing 3D Embodied Environments with Tool Augmentation
par: Hwangbo, Gyeom, et autres
Publié: (2025)

Web-Shepherd: Advancing PRMs for Reinforcing Web Agents
par: Chae, Hyungjoo, et autres
Publié: (2025)

Fast and Fluent Diffusion Language Models via Convolutional Decoding and Rejective Fine-tuning
par: Seo, Yeongbin, et autres
Publié: (2025)

Personalized Reward Modeling for Text-to-Image Generation
par: Lee, Jeongeun, et autres
Publié: (2025)

On Training Large Language Models for Long-Horizon Tasks: An Empirical Study of Horizon Length
par: Kim, Sunghwan, et autres
Publié: (2026)

Coffee: Boost Your Code LLMs by Fixing Bugs with Feedback
par: Moon, Seungjun, et autres
Publié: (2023)

VisEscape: A Benchmark for Evaluating Exploration-driven Decision-making in Virtual Escape Rooms
par: Lim, Seungwon, et autres
Publié: (2025)