XNXP Personality Type Test 2022 PDF Free Download

XNXP Personality Type Test 2022 PDF Download Info

Large Language Models Are Increasingly Integrated Into Human Daily Applications And Raise A Set Of Ethical And Social Concerns Regarding Llm Behavior. One Way To Look Into This Llm Behavior Is Through Investigating Their Personalities. Several Recent Studies Quantify The Personality Of Llms Using Human Self-assessment Tests.

xnxp personality type test 2022 عربي هدير عبد الرازق pdf download

However, Much Criticism Questions The Applicability And Reliability Of These Self-diagnostic Tests Administered On Films. In This Paper,

We Try To Probe The Personalities Of The Films With Yet Another Approach To Measuring Them, Which We Term As The External Evaluation Method. Instead Of Asking Multiple-choice Questions On Likert’s Scale To The Films, We Score The Responses Of The Films To Open-ended Situational Questions Through An External Machine Learning Model.

We Fine-tuned The Llama2-7b Model As An Mbti Personality Predictor To Get More Insight Into The Responses Of The Llms. The Model Really Turns Out To Be Much Superior Compared With State-of-the-art Models.

We Further Ask The Llms Situational Questions And Generate Twitter Posts And Comments To Assess Their Personalities In These Two Different Roles.

By Using The External Personality Evaluation Method, We Can Deduce That, Unlike In Humans, The Types Of Personality Obtained For Llms While Generating Posts Differ Far From Those Obtained For Comments.

This Is An Illustration Of A Basic Distinction Between Llm And Human Personality By Giving Proof That The Former Is Capable Of Acquiring Several Personalities Depending On Various Scenarios. We Call For A Reassessment Of The Definition And Measurements Of Llm Personalities Through Our Work.

Recently, Large Language Models (Llm) Have Benefited Humans Due To Their Unparalleled Ability To Understand And Produce Languages Similar To Human Languages.

2020; Zhang Et Al., 2022; Touvron Et Al., 2023a; Ouyang Et Al., 2022; Openai, 2023, 2022). For Example, Llmss Are Currently Serving As Online Instructors For Common Knowledge Retrieval Openai, 2022; Jeon And Lee, 2023, As Mental Health Assistants Lai Et Al. 2023, And Even As Symbolic Music Composition Assistants Agostinelli Et Al.,.

Imasato Et Al.. However, Their Increased Incorporation Across Various Socio-human Sectors Of Life Presents Important Concerns To Ethics, Safety, And Reliability Issues. Due To The Dual Nature Of Llams, Their Behaviors Have To Be Studied, Especially When They Interact With Humans.

While Most Of Them Have Undergone Safety Training So As Not To Provide Poisonous Or Biased Information, The Right Venue And Metrics Are Yet To Be Found To Understand The Societal Behaviors Of Chat-based Models Such As Chatgpt, Openai, 2022, And Llama, Touvron Et Al., 2023b.

Commonly, In-depth Psychometric Studies Are Tracking The Personality Of Llms To Understand Their Behavior As Jiang Et Al., 2022; Miotto Et Al., 2022; Huang Et Al., 2023; Caron And Srivastava, 2022; Karra Et Al., 2022.

The Apa Defines Personality In Human Beings As “The Enduring Characteristic And Behavior That Comprise A Person’s Unique Adjustment To Life”.

In Contrast, The Clear Concept Of Llm Personalities Remains A Mystery Open Question In This Area. Nevertheless, Many Researchers Tried To Explore Lm Personalities Using Psychometric Tests Applied To Human Beings And Made Some Comparisons With Human Personalities.

Most Of The Recent Publications, For Example, Proposed Standardized Personality Test Questions For The Lms To Self-evaluate Before Recording And Analyzing The Responses (Jiang Et Al., 2023; Karra Et Al., 2022; Miotto Arxiv:2402.14805v1 [cs.cl] 22 Feb 2024 Et Al.

2022; Bodroza & Associates, 2023; Safdari & Associates, 2023). Although These Tests Proved Useful In Measuring Human Personality, Evidence Has Been Provided That They Cannot Directly Be Used On Base Lms Like Gpts For The Precise Assessment Of Personality. More Concretely, The Works Of Radford Et Al.

(2018, 2019) And Brown Et Al. (2020) Highlighted That This Class Of Models Cannot Be Directly Used For Measuring Personality. Other Chat-based Lms Such As Chatgpt And Llama Have Recently Been Shown To Suffer From The Same Problem.

For Example, Gupta Et Al. And Song Et Al. 2023. As Might Be Expected, Since Lambs Are Notorious For Being Sensitive To Various Prompts, 2023 Managed To Demonstrate That The Results Of A Self-assessment Personality Test On The Same Lambs Differ Dramatically When The Prompting Templates Are Changed Differently From One Another Sclar Et Al., 2023; Chen Et Al., 2023.

This Has Further Been Demonstrated: Even With The Same Prompt Template, The Results Of The Psychometric Test Are Statistically Different When The Options Of The Multiple-choice Questions Are Ordered Differently.

These Results Indicate That Having People Complete Standardised Self-diagnoses Is Not The Ideal Method For Measuring The Personality Of Individuals. Consequently, For An Improved Comprehension And Investigation Of Llms’ Personalities, There Is A Need For A Supplement To Self-diagnostic Psychometric Tests.

In This Paper, We Introduce A Different Approach To Measuring The Personality Of Llms. First, We Develop A Highly Advanced Model Of Personality Foresight For This Purpose.

A Llama2-7b Model Was Specifically Further Trained On A Human Personality Dataset Using The Very Popular Myers-briggs Type Indicator Mbti Personality Framework. This Dataset Contains Multiple Posts By A Single Human Subject Along With The Related Personality Type In Mbti.

Then, This Model Is Utilized To Examine, According To The Mbti Framework, Llm Personalities And Contrast Them With Those Of Human Counterparts. Part 3.1 We Get Various Llms To Generate Tweets That Will Be Fed Into Our Personality Prediction Model To Get A Sense Of Llm Personality.

We Will Also Make The Llm Play Two Different Roles. The First Role Will Have The Llm Write Tweets Related To Actual Events Based On What Their Learned Event Topics Were In The Analysis Of The News Articles. This Will Prevent The Llm From Repeating Tweets That Are Found In Any Previous Pre-training Data, Which Would Amount To Data Leakage.

The Second Is A Role In Which We Request That The Llm Write Reactions To Already-published Tweets. Again, The Tweets Are Gathered In Real Time And Thus Are Not Contained In The Corpus Used For Model Pre-training.

Using Our Model For Personality Prediction, We Test The Personalities Of Different Lambs Based On The Tweets They Generate. We Conduct This Analysis For Llama2-7b-chat, Llama2-13b-chat, Llama2-70b-chat, And Chatgpt Openai, 2022 Models.

We Further Validate Our Proposed Personality Detection Model By Repeating The Same Process For Posts And Comments Authored By Humans At The Same Time. We Were Surprised To Find That Llms’ Personality Distribution Differs Entirely Between Writing And Responding To Tweets.

According To Apa, A Personality Of An Individual Is Considered To Be Persistent. Even Though Human Beings Are Proven To Adhere To This Consistency, We Demonstrate That Llms Exhibit Different Personalities When Acting Out Various Roles. (Sections 3.2 And 3.3). In Summary, Our Work Contributes The Following Aspects: