Image de couverture de livre

Can Large Language Models Transform Computational Social Science?

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Ziems, Caleb, Held, William, Shaikh, Omar, Chen, Jiaao, Zhang, Zhehao, Yang, Diyi
Format:	Preprint
Publié:	2023
Sujets:	Computation and Language Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Social Skill Training with Large Language Models
par: Yang, Diyi, et autres
Publié: (2024)

DARG: Dynamic Evaluation of Large Language Models via Adaptive Reasoning Graph
par: Zhang, Zhehao, et autres
Publié: (2024)

Dynamic Skill Adaptation for Large Language Models
par: Chen, Jiaao, et autres
Publié: (2024)

Measuring and Addressing Indexical Bias in Information Retrieval
par: Ziems, Caleb, et autres
Publié: (2024)

DyVal: Dynamic Evaluation of Large Language Models for Reasoning Tasks
par: Zhu, Kaijie, et autres
Publié: (2023)

Unintended Impacts of LLM Alignment on Global Representation
par: Ryan, Michael J., et autres
Publié: (2024)

Demystifying Verbatim Memorization in Large Language Models
par: Huang, Jing, et autres
Publié: (2024)

Culture Cartography: Mapping the Landscape of Cultural Knowledge
par: Ziems, Caleb, et autres
Publié: (2025)

Social Intelligence Data Infrastructure: Structuring the Present and Navigating the Future
par: Li, Minzhi, et autres
Publié: (2024)

Silent Signals, Loud Impact: LLMs for Word-Sense Disambiguation of Coded Dog Whistles
par: Kruk, Julia, et autres
Publié: (2024)

A Comprehensive Study on Quantization Techniques for Large Language Models
par: Lang, Jiedong, et autres
Publié: (2024)

CoAnnotating: Uncertainty-Guided Work Allocation between Human and Large Language Models for Data Annotation
par: Li, Minzhi, et autres
Publié: (2023)

Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers
par: Si, Chenglei, et autres
Publié: (2024)

Multi-Level Feedback Generation with Large Language Models for Empowering Novice Peer Counselors
par: Chaszczewicz, Alicja, et autres
Publié: (2024)

Routoo: Learning to Route to Large Language Models Effectively
par: Mohammadshahi, Alireza, et autres
Publié: (2024)

SynthesizeMe! Inducing Persona-Guided Prompts for Personalized Reward Models in LLMs
par: Ryan, Michael J, et autres
Publié: (2025)

Internal Causal Mechanisms Robustly Predict Language Model Out-of-Distribution Behaviors
par: Huang, Jing, et autres
Publié: (2025)

Can Large Language Models Generalize Procedures Across Representations?
par: Lin, Fangru, et autres
Publié: (2026)

Robust and Scalable Model Editing for Large Language Models
par: Chen, Yingfa, et autres
Publié: (2024)

How Can Large Language Models Understand Spatial-Temporal Data?
par: Liu, Lei, et autres
Publié: (2024)

Are We There Yet? Revealing the Risks of Utilizing Large Language Models in Scholarly Peer Review
par: Ye, Rui, et autres
Publié: (2024)

Unveiling and Harnessing Hidden Attention Sinks: Enhancing Large Language Models without Training through Attention Calibration
par: Yu, Zhongzhi, et autres
Publié: (2024)

What Formal Languages Can Transformers Express? A Survey
par: Strobl, Lena, et autres
Publié: (2023)

EgoNormia: Benchmarking Physical Social Norm Understanding
par: Rezaei, MohammadHossein, et autres
Publié: (2025)

Can Large Language Models Reason and Plan?
par: Kambhampati, Subbarao
Publié: (2024)

Blackbox Model Provenance via Palimpsestic Membership Inference
par: Kuditipudi, Rohith, et autres
Publié: (2025)

CS-Bench: A Comprehensive Benchmark for Large Language Models towards Computer Science Mastery
par: Song, Xiaoshuai, et autres
Publié: (2024)

On the Thinking-Language Modeling Gap in Large Language Models
par: Liu, Chenxi, et autres
Publié: (2025)

Investigating Layer Importance in Large Language Models
par: Zhang, Yang, et autres
Publié: (2024)

LiveOIBench: Can Large Language Models Outperform Human Contestants in Informatics Olympiads?
par: Zou, Kaijian, et autres
Publié: (2025)

Can Large Language Models Understand Intermediate Representations in Compilers?
par: Jiang, Hailong, et autres
Publié: (2025)

Expert-Choice Routing Enables Adaptive Computation in Diffusion Language Models
par: Zhang, Shuibai, et autres
Publié: (2026)

How Can Quantum Deep Learning Improve Large Language Models?
par: Roh, Emily Jimin, et autres
Publié: (2025)

PrivacyMind: Large Language Models Can Be Contextual Privacy Protection Learners
par: Xiao, Yijia, et autres
Publié: (2023)

Social Learning: Towards Collaborative Learning with Large Language Models
par: Mohtashami, Amirkeivan, et autres
Publié: (2023)

Measuring Social Norms of Large Language Models
par: Yuan, Ye, et autres
Publié: (2024)

Using Imperfect Surrogates for Downstream Inference: Design-based Supervised Learning for Social Science Applications of Large Language Models
par: Egami, Naoki, et autres
Publié: (2023)

EquiBench: Benchmarking Large Language Models' Reasoning about Program Semantics via Equivalence Checking
par: Wei, Anjiang, et autres
Publié: (2025)

Off-Policy Value-Based Reinforcement Learning for Large Language Models
par: Wang, Peng-Yuan, et autres
Publié: (2026)

Transformers Can Represent $n$-gram Language Models
par: Svete, Anej, et autres
Publié: (2024)