Imagen de Portada

Large Human Language Models: A Need and the Challenges

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Soni, Nikita, Schwartz, H. Andrew, Sedoc, João, Balasubramanian, Niranjan
Formato:	Preprint
Publicado:	2023
Materias:	Computation and Language Artificial Intelligence Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Comparing Pre-trained Human Language Models: Is it Better with Human Context as Groups, Individual Traits, or Both?
por: Soni, Nikita, et al.
Publicado: (2024)

Evaluation of LLMs-based Hidden States as Author Representations for Psychological Human-Centered NLP Tasks
por: Soni, Nikita, et al.
Publicado: (2025)

Addressing the Ecological Fallacy in Larger LMs with Human Context
por: Soni, Nikita, et al.
Publicado: (2026)

Who We Are, Where We Are: Mental Health at the Intersection of Person, Situation, and Large Language Models
por: Soni, Nikita, et al.
Publicado: (2026)

Prompt-Counterfactual Explanations for Generative AI System Behavior
por: Goethals, Sofie, et al.
Publicado: (2026)

Continual Learning with Global Alignment
por: Bai, Xueying, et al.
Publicado: (2022)

Reasoning and the Trusting Behavior of DeepSeek and GPT: An Experiment Revealing Hidden Fault Lines in Large Language Models
por: Li, Rubing, et al.
Publicado: (2025)

Factuality Challenges in the Era of Large Language Models
por: Augenstein, Isabelle, et al.
Publicado: (2023)

Code Simulation Challenges for Large Language Models
por: La Malfa, Emanuele, et al.
Publicado: (2024)

Guidance is All You Need: Temperature-Guided Reasoning in Large Language Models
por: Gomaa, Eyad, et al.
Publicado: (2024)

Are Human Conversations Special? A Large Language Model Perspective
por: Jawale, Toshish, et al.
Publicado: (2024)

A Moral Imperative: The Need for Continual Superalignment of Large Language Models
por: Puthumanaillam, Gokul, et al.
Publicado: (2024)

Are Retrials All You Need? Enhancing Large Language Model Reasoning Without Verbalized Feedback
por: Potamitis, Nearchos, et al.
Publicado: (2025)

Safeguarding Large Language Models in Real-time with Tunable Safety-Performance Trade-offs
por: Fonseca, Joao, et al.
Publicado: (2025)

A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and Recommendations
por: Laskar, Md Tahmid Rahman, et al.
Publicado: (2024)

Beyond Labels: Aligning Large Language Models with Human-like Reasoning
por: Kabir, Muhammad Rafsan, et al.
Publicado: (2024)

Foundational Challenges in Assuring Alignment and Safety of Large Language Models
por: Anwar, Usman, et al.
Publicado: (2024)

ADaPT: As-Needed Decomposition and Planning with Language Models
por: Prasad, Archiki, et al.
Publicado: (2023)

Recent Advances in Generative AI and Large Language Models: Current Status, Challenges, and Perspectives
por: Hagos, Desta Haileselassie, et al.
Publicado: (2024)

Aligning with Human Judgement: The Role of Pairwise Preference in Large Language Model Evaluators
por: Liu, Yinhong, et al.
Publicado: (2024)

A Human-Like Reasoning Framework for Multi-Phases Planning Task with Large Language Models
por: Xie, Chengxing, et al.
Publicado: (2024)

Position: Uncertainty Quantification Needs Reassessment for Large-language Model Agents
por: Kirchhof, Michael, et al.
Publicado: (2025)

LiveOIBench: Can Large Language Models Outperform Human Contestants in Informatics Olympiads?
por: Zou, Kaijian, et al.
Publicado: (2025)

EmbedLLM: Learning Compact Representations of Large Language Models
por: Zhuang, Richard, et al.
Publicado: (2024)

POSIX: A Prompt Sensitivity Index For Large Language Models
por: Chatterjee, Anwoy, et al.
Publicado: (2024)

Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts
por: Lee, Sang-Woo, et al.
Publicado: (2025)

Cancer Diagnosis Categorization in Electronic Health Records Using Large Language Models and BioBERT: Model Performance Evaluation Study
por: Hashtarkhani, Soheil, et al.
Publicado: (2025)

Semantic Token Clustering for Efficient Uncertainty Quantification in Large Language Models
por: Cao, Qi, et al.
Publicado: (2026)

Do Retrieval-Augmented Language Models Adapt to Varying User Needs?
por: Wu, Peilin, et al.
Publicado: (2025)

Large Language Models as Generalizable Policies for Embodied Tasks
por: Szot, Andrew, et al.
Publicado: (2023)

The Human Factor in Detecting Errors of Large Language Models: A Systematic Literature Review and Future Research Directions
por: Schiller, Christian A.
Publicado: (2024)

AraLingBench A Human-Annotated Benchmark for Evaluating Arabic Linguistic Capabilities of Large Language Models
por: Zbeeb, Mohammad, et al.
Publicado: (2025)

TharuChat: Bootstrapping Large Language Models for a Low-Resource Language via Synthetic Data and Human Validation
por: Panth, Prajwal, et al.
Publicado: (2026)

FCoReBench: Can Large Language Models Solve Challenging First-Order Combinatorial Reasoning Problems?
por: Mittal, Chinmay, et al.
Publicado: (2024)

A Women's Health Benchmark for Large Language Models
por: Gruber, Victoria-Elisabeth, et al.
Publicado: (2025)

From Literal to Liberal: A Meta-Prompting Framework for Eliciting Human-Aligned Exception Handling in Large Language Models
por: Khan, Imran
Publicado: (2025)

A Nurse is Blue and Elephant is Rugby: Cross Domain Alignment in Large Language Models Reveal Human-like Patterns
por: Yehudai, Asaf, et al.
Publicado: (2024)

Automating Customer Needs Analysis: A Comparative Study of Large Language Models in the Travel Industry
por: Barandoni, Simone, et al.
Publicado: (2024)

Large Language Models Struggle in Token-Level Clinical Named Entity Recognition
por: Lu, Qiuhao, et al.
Publicado: (2024)

Large Language Models Show Human-like Social Desirability Biases in Survey Responses
por: Salecha, Aadesh, et al.
Publicado: (2024)