Copertina

Developing Safe and Responsible Large Language Model : Can We Balance Bias Reduction and Language Understanding in Large Language Models?

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Raza, Shaina, Bamgbose, Oluwanifemi, Ghuge, Shardul, Tavakol, Fatemeh, Reji, Deepak John, Bashir, Syed Raza
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Unlocking Bias Detection: Leveraging Transformer-Based Models for Content Analysis
di: Raza, Shaina, et al.
Pubblicazione: (2023)

FAIR Enough: How Can We Develop and Assess a FAIR-Compliant Dataset for Large Language Models' Training?
di: Raza, Shaina, et al.
Pubblicazione: (2024)

Analyzing the Impact of Fake News on the Anticipated Outcome of the 2024 Election Ahead of Time
di: Raza, Shaina, et al.
Pubblicazione: (2023)

MBIAS: Mitigating Bias in Large Language Models While Retaining Context
di: Raza, Shaina, et al.
Pubblicazione: (2024)

Practical Guide for Causal Pathways and Sub-group Disparity Analysis
di: Kohankhaki, Farnaz, et al.
Pubblicazione: (2024)

A Narrative Review of Identity, Data, and Location Privacy Techniques in Edge Computing and Mobile Crowdsourcing
di: Bashir, Syed Raza, et al.
Pubblicazione: (2024)

The Deepfakes We Missed: We Built Detectors for a Threat That Didn't Arrive
di: Raza, Shaina
Pubblicazione: (2026)

Evaluating Robustness of Large Language Models in Enterprise Applications: Benchmarks for Perturbation Consistency Across Formats and Languages
di: Bogavelli, Tara, et al.
Pubblicazione: (2026)

FakeWatch: A Framework for Detecting Fake News to Ensure Credible Elections
di: Raza, Shaina, et al.
Pubblicazione: (2024)

Comprehensive Analysis of Transparency and Accessibility of ChatGPT, DeepSeek, And other SoTA Large Language Models
di: Sapkota, Ranjan, et al.
Pubblicazione: (2025)

Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data
di: Raza, Shaina, et al.
Pubblicazione: (2024)

Optimizing Large Language Models: Metrics, Energy Efficiency, and Case Study Insights
di: Khan, Tahniat, et al.
Pubblicazione: (2025)

SONIC-O1: A Real-World Benchmark for Evaluating Multimodal Large Language Models on Audio-Video Understanding
di: Radwan, Ahmed Y., et al.
Pubblicazione: (2026)

Multimodal Large Language Models for Image, Text, and Speech Data Augmentation: A Survey
di: Sapkota, Ranjan, et al.
Pubblicazione: (2025)

Prompting Away Stereotypes? Evaluating Bias in Text-to-Image Models for Occupations
di: Raza, Shaina, et al.
Pubblicazione: (2025)

The Rise of Small Language Models in Healthcare: A Comprehensive Survey
di: Garg, Muskan, et al.
Pubblicazione: (2025)

BEADs: Bias Evaluation Across Domains
di: Raza, Shaina, et al.
Pubblicazione: (2024)

Fact or Fiction? Can LLMs be Reliable Annotators for Political Truths?
di: Chatrath, Veronica, et al.
Pubblicazione: (2024)

Bias in the Picture: Benchmarking VLMs with Social-Cue News Images and LLM-as-Judge Assessment
di: Narayanan, Aravind, et al.
Pubblicazione: (2025)

Towards Responsible Multimodal Medical Reasoning via Context-Aligned Vision-Language Models
di: Khan, Sumra, et al.
Pubblicazione: (2026)

Vision-Language Models on the Edge for Real-Time Robotic Perception
di: Ahmad, Sarat, et al.
Pubblicazione: (2026)

Can We Edit Multimodal Large Language Models?
di: Cheng, Siyuan, et al.
Pubblicazione: (2023)

Amnesia: Adversarial Semantic Layer Specific Activation Steering in Large Language Models
di: Raza, Ali, et al.
Pubblicazione: (2026)

Generalists vs. Specialists: Evaluating Large Language Models for Urdu
di: Arif, Samee, et al.
Pubblicazione: (2024)

Impact of English Language in Engineering
di: Khalid Raza
Pubblicazione: (2019)

How Can We Diagnose and Treat Bias in Large Language Models for Clinical Decision-Making?
di: Benkirane, Kenza, et al.
Pubblicazione: (2024)

Large Language Models Can Better Understand Knowledge Graphs Than We Thought
di: Dai, Xinbang, et al.
Pubblicazione: (2024)

Semantic Fusion with Fuzzy-Membership Features for Controllable Language Modelling
di: Huang, Yongchao, et al.
Pubblicazione: (2025)

Can Large Language Models Understand Context?
di: Zhu, Yilun, et al.
Pubblicazione: (2024)

Can Large Language Models Understand Molecules?
di: Sadeghi, Shaghayegh, et al.
Pubblicazione: (2024)

CosmoCLIP: Generalizing Large Vision-Language Models for Astronomical Imaging
di: Imam, Raza, et al.
Pubblicazione: (2024)

Understanding Counting Mechanisms in Large Language and Vision-Language Models
di: Hasani, Hosein, et al.
Pubblicazione: (2025)

Can Large Language Model Agents Balance Energy Systems?
di: Ren, Xinxing, et al.
Pubblicazione: (2025)

Can Large Language Models Understand Spatial Audio?
di: Tang, Changli, et al.
Pubblicazione: (2024)

On the Robustness of Medical Vision-Language Models: Are they Truly Generalizable?
di: Imam, Raza, et al.
Pubblicazione: (2025)

LLM-Agent-based Social Simulation for Attitude Diffusion
di: Reji, Deepak John
Pubblicazione: (2026)

Exploring Bias and Prediction Metrics to Characterise the Fairness of Machine Learning for Equity-Centered Public Health Decision-Making: A Narrative Review
di: Raza, Shaina, et al.
Pubblicazione: (2024)

Detecting Deception, Not Deepfakes: Why Media Forensics Needs Social Theories
di: Ho, Jessee, et al.
Pubblicazione: (2026)

Blacks is to Anger as Whites is to Joy? Understanding Latent Affective Bias in Large Pre-trained Neural Language Models
di: Kadan, Anoop, et al.
Pubblicazione: (2023)

Can Large Language Models Develop Gambling Addiction?
di: Lee, Seungpil, et al.
Pubblicazione: (2025)