Generative Monoculture in Large Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Wu, Fan, Black, Emily, Chandrasekaran, Varun |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Attention Speaks Volumes: Localizing and Mitigating Bias in Language Models
by: Adiga, Rishabh, et al.
Published: (2024)
by: Adiga, Rishabh, et al.
Published: (2024)
Do Large Language Models Know What They Are Capable Of?
by: Barkan, Casey O., et al.
Published: (2025)
by: Barkan, Casey O., et al.
Published: (2025)
Diversity of Thought Improves Reasoning Abilities of LLMs
by: Naik, Ranjita, et al.
Published: (2023)
by: Naik, Ranjita, et al.
Published: (2023)
Fine-tuning Large Language Models for Multigenerator, Multidomain, and Multilingual Machine-Generated Text Detection
by: Xiong, Feng, et al.
Published: (2024)
by: Xiong, Feng, et al.
Published: (2024)
Continual-learning for Modelling Low-Resource Languages from Large Language Models
by: K, Santosh Srinath, et al.
Published: (2026)
by: K, Santosh Srinath, et al.
Published: (2026)
Still Not Quite There! Evaluating Large Language Models for Comorbid Mental Health Diagnosis
by: Hengle, Amey, et al.
Published: (2024)
by: Hengle, Amey, et al.
Published: (2024)
Large Legal Fictions: Profiling Legal Hallucinations in Large Language Models
by: Dahl, Matthew, et al.
Published: (2024)
by: Dahl, Matthew, et al.
Published: (2024)
Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of Language Models
by: Yuksekgonul, Mert, et al.
Published: (2023)
by: Yuksekgonul, Mert, et al.
Published: (2023)
Characterising Toxicity in Generative Large Language Models
by: Zhang, Zhiyao, et al.
Published: (2026)
by: Zhang, Zhiyao, et al.
Published: (2026)
Interpretable Steering of Large Language Models with Feature Guided Activation Additions
by: Soo, Samuel, et al.
Published: (2025)
by: Soo, Samuel, et al.
Published: (2025)
Assessing the Creativity of Large Language Models: Testing, Limits, and New Frontiers
by: Schapiro, Samuel, et al.
Published: (2026)
by: Schapiro, Samuel, et al.
Published: (2026)
Dynamic Generation of Personalities with Large Language Models
by: Liu, Jianzhi, et al.
Published: (2024)
by: Liu, Jianzhi, et al.
Published: (2024)
The Silent Curriculum: How Does LLM Monoculture Shape Educational Content and Its Accessibility?
by: Priyanshu, Aman, et al.
Published: (2024)
by: Priyanshu, Aman, et al.
Published: (2024)
BenchAgents: Multi-Agent Systems for Structured Benchmark Creation
by: Butt, Natasha, et al.
Published: (2024)
by: Butt, Natasha, et al.
Published: (2024)
The Cost of Thinking: Increased Jailbreak Risk in Large Language Models
by: Yang, Fan
Published: (2025)
by: Yang, Fan
Published: (2025)
On the Capacity of Citation Generation by Large Language Models
by: Qian, Haosheng, et al.
Published: (2024)
by: Qian, Haosheng, et al.
Published: (2024)
A Multi-Stage Workflow for the Review of Marketing Content with Reasoning Large Language Models
by: Purpura, Alberto, et al.
Published: (2025)
by: Purpura, Alberto, et al.
Published: (2025)
Enhancing Large Language Models through Structured Reasoning
by: Dong, Yubo, et al.
Published: (2025)
by: Dong, Yubo, et al.
Published: (2025)
APCD: Adaptive Path-Contrastive Decoding for Reliable Large Language Model Generation
by: Zheng, Tianyu, et al.
Published: (2026)
by: Zheng, Tianyu, et al.
Published: (2026)
MapIQ: Evaluating Multimodal Large Language Models for Map Question Answering
by: Srivastava, Varun, et al.
Published: (2025)
by: Srivastava, Varun, et al.
Published: (2025)
MegaFake: A Theory-Driven Dataset of Fake News Generated by Large Language Models
by: Wang, Lionel Z., et al.
Published: (2024)
by: Wang, Lionel Z., et al.
Published: (2024)
Knowledge-Augmented Large Language Models for Personalized Contextual Query Suggestion
by: Baek, Jinheon, et al.
Published: (2023)
by: Baek, Jinheon, et al.
Published: (2023)
Fine-tuned Large Language Models (LLMs): Improved Prompt Injection Attacks Detection
by: Rahman, Md Abdur, et al.
Published: (2024)
by: Rahman, Md Abdur, et al.
Published: (2024)
Who Reasons in the Large Language Models?
by: Shao, Jie, et al.
Published: (2025)
by: Shao, Jie, et al.
Published: (2025)
Large Language Model for Patent Concept Generation
by: Ren, Runtao, et al.
Published: (2024)
by: Ren, Runtao, et al.
Published: (2024)
Large Language Models as Planning Domain Generators
by: Oswald, James, et al.
Published: (2024)
by: Oswald, James, et al.
Published: (2024)
A Survey on Large Language Models for Code Generation
by: Jiang, Juyong, et al.
Published: (2024)
by: Jiang, Juyong, et al.
Published: (2024)
Federated Co-tuning Framework for Large and Small Language Models
by: Fan, Tao, et al.
Published: (2024)
by: Fan, Tao, et al.
Published: (2024)
HalluSAE: Detecting Hallucinations in Large Language Models via Sparse Auto-Encoders
by: Chen, Boshui, et al.
Published: (2026)
by: Chen, Boshui, et al.
Published: (2026)
AdEval: Alignment-based Dynamic Evaluation to Mitigate Data Contamination in Large Language Models
by: Fan, Yang
Published: (2025)
by: Fan, Yang
Published: (2025)
MAPO: Boosting Large Language Model Performance with Model-Adaptive Prompt Optimization
by: Chen, Yuyan, et al.
Published: (2024)
by: Chen, Yuyan, et al.
Published: (2024)
Self-Explained Keywords Empower Large Language Models for Code Generation
by: Fan, Lishui, et al.
Published: (2024)
by: Fan, Lishui, et al.
Published: (2024)
Ask Good Questions for Large Language Models
by: Wu, Qi, et al.
Published: (2025)
by: Wu, Qi, et al.
Published: (2025)
Consistency of Responses and Continuations Generated by Large Language Models on Social Media
by: Xu, Wentao, et al.
Published: (2025)
by: Xu, Wentao, et al.
Published: (2025)
Large Language Models are In-Context Molecule Learners
by: Li, Jiatong, et al.
Published: (2024)
by: Li, Jiatong, et al.
Published: (2024)
Understanding the Dataset Practitioners Behind Large Language Model Development
by: Qian, Crystal, et al.
Published: (2024)
by: Qian, Crystal, et al.
Published: (2024)
Pruning General Large Language Models into Customized Expert Models
by: Zhao, Yirao, et al.
Published: (2025)
by: Zhao, Yirao, et al.
Published: (2025)
Improving Phishing Email Detection Performance of Small Large Language Models
by: Lin, Zijie, et al.
Published: (2025)
by: Lin, Zijie, et al.
Published: (2025)
Small Language Model as Data Prospector for Large Language Model
by: Ni, Shiwen, et al.
Published: (2024)
by: Ni, Shiwen, et al.
Published: (2024)
Genshin: General Shield for Natural Language Processing with Large Language Models
by: Peng, Xiao, et al.
Published: (2024)
by: Peng, Xiao, et al.
Published: (2024)
Similar Items
-
Attention Speaks Volumes: Localizing and Mitigating Bias in Language Models
by: Adiga, Rishabh, et al.
Published: (2024) -
Do Large Language Models Know What They Are Capable Of?
by: Barkan, Casey O., et al.
Published: (2025) -
Diversity of Thought Improves Reasoning Abilities of LLMs
by: Naik, Ranjita, et al.
Published: (2023) -
Fine-tuning Large Language Models for Multigenerator, Multidomain, and Multilingual Machine-Generated Text Detection
by: Xiong, Feng, et al.
Published: (2024) -
Continual-learning for Modelling Low-Resource Languages from Large Language Models
by: K, Santosh Srinath, et al.
Published: (2026)