:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Hopp, Daniel
Format:	Preprint
Published:	2024
Subjects:	Computers and Society Artificial Intelligence Computation and Language Machine Learning I.2
Online Access:	https://arxiv.org/abs/2407.16896
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Leveraging Large Language Models for Accurate Sign Language Translation in Low-Resource Scenarios
by: Bulla, Luana, et al.
Published: (2025)

Conceptual Engineering Using Large Language Models
by: Allen, Bradley P.
Published: (2023)

OG-RAG: Ontology-Grounded Retrieval-Augmented Generation For Large Language Models
by: Sharma, Kartik, et al.
Published: (2024)

Large Language Model (LLM) Bias Index -- LLMBI
by: Oketunji, Abiodun Finbarrs, et al.
Published: (2023)

Assessment of Evolving Large Language Models in Upper Secondary Mathematics
by: Setälä, Mika, et al.
Published: (2025)

The Qualitative Laboratory: Theory Prototyping and Hypothesis Generation with Large Language Models
by: Draelants, Hugues
Published: (2025)

The Democratic Paradox in Large Language Models' Underestimation of Press Freedom
by: Loaiza, I., et al.
Published: (2025)

Personality Traits in Large Language Models
by: Serapio-García, Greg, et al.
Published: (2023)

Accurate and Energy Efficient: Local Retrieval-Augmented Generation Models Outperform Commercial Large Language Models in Medical Tasks
by: Vrettos, Konstantinos, et al.
Published: (2025)

How AI Systems Think About Education: Analyzing Latent Preference Patterns in Large Language Models
by: Autenrieth, Daniel
Published: (2026)

Critical Foreign Policy Decisions (CFPD)-Benchmark: Measuring Diplomatic Preferences in Large Language Models
by: Jensen, Benjamin, et al.
Published: (2025)

SomaliBench Eval: Measuring English-to-Somali Refusal Gaps in Open-Weight Language Models
by: Dahir, Khalid Yusuf
Published: (2026)

The Need for Guardrails with Large Language Models in Medical Safety-Critical Settings: An Artificial Intelligence Application in the Pharmacovigilance Ecosystem
by: Hakim, Joe B, et al.
Published: (2024)

Value Lens: Using Large Language Models to Understand Human Values
by: Fernández, Eduardo de la Cruz, et al.
Published: (2025)

Ethics Whitepaper: Whitepaper on Ethical Research into Large Language Models
by: Ungless, Eddie L., et al.
Published: (2024)

Fairness Certification for Natural Language Processing and Large Language Models
by: Freiberger, Vincent, et al.
Published: (2024)

PlanRAG: A Plan-then-Retrieval Augmented Generation for Generative Large Language Models as Decision Makers
by: Lee, Myeonghwa, et al.
Published: (2024)

AI-Powered Detection of Inappropriate Language in Medical School Curricula
by: Salavati, Chiman, et al.
Published: (2025)

TALE: A Tool-Augmented Framework for Reference-Free Evaluation of Large Language Models
by: Badshah, Sher, et al.
Published: (2025)

Rejected Dialects: Biases Against African American Language in Reward Models
by: Mire, Joel, et al.
Published: (2025)

Pro-AI Bias in Large Language Models
by: Trabelsi, Benaya, et al.
Published: (2026)

AustroTox: A Dataset for Target-Based Austrian German Offensive Language Detection
by: Pachinger, Pia, et al.
Published: (2024)

Labels or Input? Rethinking Augmentation in Multimodal Hate Detection
by: Singh, Sahajpreet, et al.
Published: (2025)

Self-Emotion Blended Dialogue Generation in Social Simulation Agents
by: Zhang, Qiang, et al.
Published: (2024)

After Retrieval, Before Generation: Enhancing the Trustworthiness of Large Language Models in Retrieval-Augmented Generation
by: Dai, Xinbang, et al.
Published: (2025)

Graph Your Way to Inspiration: Integrating Co-Author Graphs with Retrieval-Augmented Generation for Large Language Model Based Scientific Idea Generation
by: Xie, Pengzhen, et al.
Published: (2025)

MemeCraft: Contextual and Stance-Driven Multimodal Meme Generation
by: Wang, Han, et al.
Published: (2024)

Simulating Misinformation Propagation in Social Networks using Large Language Models
by: Maurya, Raj Gaurav, et al.
Published: (2025)

Identifying Features that Shape Perceived Consciousness in Large Language Model-based AI: A Quantitative Study of Human Responses
by: Kang, Bongsu, et al.
Published: (2025)

Hybrid Fact-Checking that Integrates Knowledge Graphs, Large Language Models, and Search-Based Retrieval Agents Improves Interpretable Claim Verification
by: Kolli, Shaghayegh, et al.
Published: (2025)

ToxiFrench: Benchmarking and Enhancing Language Models via CoT Fine-Tuning for French Toxicity Detection
by: Delaval, Axel, et al.
Published: (2025)

Fane at SemEval-2025 Task 10: Zero-Shot Entity Framing with Large Language Models
by: Fane, Enfa, et al.
Published: (2025)

Large Language Models for History, Philosophy, and Sociology of Science: Interpretive Uses, Methodological Challenges, and Critical Perspectives
by: Simons, Arno, et al.
Published: (2025)

Do Small Language Models Know When They're Wrong? Confidence-Based Cascade Scoring for Educational Assessment
by: Burleigh, Tyler
Published: (2026)

Large Language Models (LLMs) as Agents for Augmented Democracy
by: Gudiño-Rosero, Jairo, et al.
Published: (2024)

Berta: an open-source, modular tool for AI-enabled clinical documentation
by: Vaid, Samridhi, et al.
Published: (2026)

ValueDCG: Measuring Comprehensive Human Value Understanding Ability of Language Models
by: Zhang, Zhaowei, et al.
Published: (2023)

Evaluating open-source Large Language Models for automated fact-checking
by: Fontana, Nicolo', et al.
Published: (2025)

Many LLMs Are More Utilitarian Than One
by: Keshmirian, Anita, et al.
Published: (2025)

Uplifting Lower-Income Data: Strategies for Socioeconomic Perspective Shifts in Large Multi-modal Models
by: Nwatu, Joan, et al.
Published: (2024)