Cover Image

Hire Me or Not? Examining Language Model's Behavior with Occupation Attributes

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Damin, Zhang, Yi, Bihani, Geetanjali, Rayz, Julia
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The Reliability Paradox: Exploring How Shortcut Learning Undermines Language Model Calibration
by: Bihani, Geetanjali, et al.
Published: (2024)

Learning Shortcuts: On the Misleading Promise of NLU in Language Models
by: Bihani, Geetanjali, et al.
Published: (2024)

A Fuzzy Evaluation of Sentence Encoders on Grooming Risk Classification
by: Bihani, Geetanjali, et al.
Published: (2025)

Evaluating Language Models on Grooming Risk Estimation Using Fuzzy Theory
by: Bihani, Geetanjali, et al.
Published: (2025)

Structured yet Bounded Temporal Understanding in Large Language Models
by: Zhang, Damin, et al.
Published: (2025)

Calibration Error Estimation Using Fuzzy Binning
by: Bihani, Geetanjali, et al.
Published: (2023)

Taxonomy-based CheckList for Large Language Model Evaluation
by: Zhang, Damin
Published: (2023)

Auditing the Use of Language Models to Guide Hiring Decisions
by: Gaebler, Johann D., et al.
Published: (2024)

Hire a Linguist!: Learning Endangered Languages with In-Context Linguistic Descriptions
by: Zhang, Kexun, et al.
Published: (2024)

Examining the Robustness of Large Language Models across Language Complexity
by: Zhang, Jiayi
Published: (2025)

"You Are Rejected!": An Empirical Study of Large Language Models Taking Hiring Evaluations
by: Fu, Dingjie, et al.
Published: (2025)

Do Large Language Models Discriminate in Hiring Decisions on the Basis of Race, Ethnicity, and Gender?
by: An, Haozhe, et al.
Published: (2024)

Invisible Filters: Cultural Bias in Hiring Evaluations Using Large Language Models
by: Rao, Pooja S. B., et al.
Published: (2025)

Examining Forgetting in Continual Pre-training of Aligned Large Language Models
by: Li, Chen-An, et al.
Published: (2024)

JobFair: A Framework for Benchmarking Gender Hiring Bias in Large Language Models
by: Wang, Ze, et al.
Published: (2024)

Distilling Large Language Models for Text-Attributed Graph Learning
by: Pan, Bo, et al.
Published: (2024)

Less Is More? Examining Fairness in Pruned Large Language Models for Summarising Opinions
by: Huang, Nannan, et al.
Published: (2025)

Decomposition-Enhanced Training for Post-Hoc Attributions In Language Models
by: Balasubramanian, Sriram, et al.
Published: (2025)

Global-Recent Semantic Reasoning on Dynamic Text-Attributed Graphs with Large Language Models
by: Wang, Yunan, et al.
Published: (2025)

IgnitionInnovators at "Discharge Me!": Chain-of-Thought Instruction Finetuning Large Language Models for Discharge Summaries
by: Tang, An Quang, et al.
Published: (2024)

SeMe: Training-Free Language Model Merging via Semantic Alignment
by: Gu, Jian, et al.
Published: (2025)

MeTA-LoRA: Data-Efficient Multi-Task Fine-Tuning for Large Language Models
by: Cheng, Bo, et al.
Published: (2025)

Does Localization Inform Unlearning? A Rigorous Examination of Local Parameter Attribution for Knowledge Unlearning in Language Models
by: Lee, Hwiyeong, et al.
Published: (2025)

I Think, Therefore I Am Under-Qualified? A Benchmark for Evaluating Linguistic Shibboleth Detection in LLM Hiring Evaluations
by: Kharchenko, Julia, et al.
Published: (2025)

ALMs: Authorial Language Models for Authorship Attribution
by: Huang, Weihang, et al.
Published: (2024)

Multi-Attribute Multi-Grained Adaptation of Pre-Trained Language Models for Text Understanding from Bayesian Perspective
by: Zhang, You, et al.
Published: (2025)

Learning Multiplex Representations on Text-Attributed Graphs with One Language Model Encoder
by: Jin, Bowen, et al.
Published: (2023)

Verbosity $\neq$ Veracity: Demystify Verbosity Compensation Behavior of Large Language Models
by: Zhang, Yusen, et al.
Published: (2024)

Disentangled Representation Learning with Large Language Models for Text-Attributed Graphs
by: Qin, Yijian, et al.
Published: (2023)

Don't Listen To Me: Understanding and Exploring Jailbreak Prompts of Large Language Models
by: Yu, Zhiyuan, et al.
Published: (2024)

Evaluating the Promise and Pitfalls of LLMs in Hiring Decisions
by: Anzenberg, Eitan, et al.
Published: (2025)

Evaluating LLM Behavior in Hiring: Implicit Weights, Fairness Across Groups, and Alignment with Human Preferences
by: Hoffmann, Morgane, et al.
Published: (2026)

SoMeLVLM: A Large Vision Language Model for Social Media Processing
by: Zhang, Xinnong, et al.
Published: (2024)

Let Me Speak Freely? A Study on the Impact of Format Restrictions on Performance of Large Language Models
by: Tam, Zhi Rui, et al.
Published: (2024)

The Silicon Ceiling: Auditing GPT's Race and Gender Biases in Hiring
by: Armstrong, Lena, et al.
Published: (2024)

Examining the Role of Relationship Alignment in Large Language Models
by: Altenburger, Kristen M., et al.
Published: (2024)

Neurosymbolic AI approach to Attribution in Large Language Models
by: Tilwani, Deepa, et al.
Published: (2024)

On the Limitations of Large Language Models (LLMs): False Attribution
by: Adewumi, Tosin, et al.
Published: (2024)

LABOR-LLM: Language-Based Occupational Representations with Large Language Models
by: Athey, Susan, et al.
Published: (2024)

What Really Counts? Examining Step and Token Level Attribution in Multilingual CoT Reasoning
by: Ferrao, Jeremias, et al.
Published: (2025)