Copertina

Academically intelligent LLMs are not necessarily socially intelligent

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Xu, Ruoxi, Lin, Hongyu, Han, Xianpei, Sun, Le, Sun, Yingfei
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computation and Language Computers and Society
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

AI for social science and social science of AI: A Survey
di: Xu, Ruoxi, et al.
Pubblicazione: (2024)

Large Language Models Often Say One Thing and Do Another
di: Xu, Ruoxi, et al.
Pubblicazione: (2025)

Gender Biases in LLMs: Higher intelligence in LLM does not necessarily solve gender bias and stereotyping
di: Ranjan, Rajesh, et al.
Pubblicazione: (2024)

Memorizing is Not Enough: Deep Knowledge Injection Through Reasoning
di: Xu, Ruoxi, et al.
Pubblicazione: (2025)

The Life Cycle of Knowledge in Big Language Models: A Survey
di: Cao, Boxi, et al.
Pubblicazione: (2023)

Artificial intelligence is creating a new global linguistic hierarchy
di: Occhini, Giulia, et al.
Pubblicazione: (2026)

Machine-assisted quantitizing designs: augmenting humanities and social sciences with artificial intelligence
di: Karjus, Andres
Pubblicazione: (2023)

Expanding the Boundaries of Vision Prior Knowledge in Multi-modal Large Language Models
di: Liang, Qiao, et al.
Pubblicazione: (2025)

Not All Contexts Are Equal: Teaching LLMs Credibility-aware Generation
di: Pan, Ruotong, et al.
Pubblicazione: (2024)

Artificial intelligence language technologies in multilingual healthcare: Grand challenges ahead
di: Briva-Iglesias, Vicent
Pubblicazione: (2026)

Benchmarking LLMs' Swarm intelligence
di: Ruan, Kai, et al.
Pubblicazione: (2025)

Rule or Story, Which is a Better Commonsense Expression for Talking with Large Language Models?
di: Bian, Ning, et al.
Pubblicazione: (2024)

REInstruct: Building Instruction Data from Unlabeled Corpus
di: Chen, Shu, et al.
Pubblicazione: (2024)

Open Grounded Planning: Challenges and Benchmark Construction
di: Guo, Shiguang, et al.
Pubblicazione: (2024)

Vision-OPD: Learning to See Fine Details for Multimodal LLMs via On-Policy Self-Distillation
di: Yuan, Qianhao, et al.
Pubblicazione: (2026)

A perishable ability? The future of writing in the face of generative artificial intelligence
di: Cunha, Evandro L. T. P.
Pubblicazione: (2025)

Cultural Value Differences of LLMs: Prompt, Language, and Model Size
di: Zhong, Qishuai, et al.
Pubblicazione: (2024)

Executing Natural Language-Described Algorithms with Large Language Models: An Investigation
di: Zheng, Xin, et al.
Pubblicazione: (2024)

Meta-Cognitive Analysis: Evaluating Declarative and Procedural Knowledge in Datasets and Large Language Models
di: Li, Zhuoqun, et al.
Pubblicazione: (2024)

Towards Real-world Human Behavior Simulation: Benchmarking Large Language Models on Long-horizon, Cross-scenario, Heterogeneous Behavior Traces
di: Chen, Jiawei, et al.
Pubblicazione: (2026)

Few-shot Named Entity Recognition via Superposition Concept Discrimination
di: Chen, Jiawei, et al.
Pubblicazione: (2024)

Multi-Facet Counterfactual Learning for Content Quality Evaluation
di: Zheng, Jiasheng, et al.
Pubblicazione: (2024)

Towards Universal Dense Blocking for Entity Resolution
di: Wang, Tianshu, et al.
Pubblicazione: (2024)

SAISA: Towards Multimodal Large Language Models with Both Training and Inference Efficiency
di: Yuan, Qianhao, et al.
Pubblicazione: (2025)

RefCritic: Training Long Chain-of-Thought Critic Models with Refinement Feedback
di: Tang, Qiaoyu, et al.
Pubblicazione: (2025)

MemSearcher: Training LLMs to Reason, Search and Manage Memory via End-to-End Reinforcement Learning
di: Yuan, Qianhao, et al.
Pubblicazione: (2025)

SoFA: Shielded On-the-fly Alignment via Priority Rule Following
di: Lu, Xinyu, et al.
Pubblicazione: (2024)

ChatGPT is a Knowledgeable but Inexperienced Solver: An Investigation of Commonsense Problem in Large Language Models
di: Bian, Ning, et al.
Pubblicazione: (2023)

LiteCoder-Terminal: Scaling Long-Horizon Terminal Environments for Learning Language Agents
di: Peng, Xiaoxuan, et al.
Pubblicazione: (2026)

The Rise and Down of Babel Tower: Investigating the Evolution Process of Multilingual Code Large Language Model
di: Chen, Jiawei, et al.
Pubblicazione: (2024)

A Unified View of Delta Parameter Editing in Post-Trained Large-Scale Models
di: Tang, Qiaoyu, et al.
Pubblicazione: (2024)

RMTBench: Benchmarking LLMs Through Multi-Turn User-Centric Role-Playing
di: Xiang, Hao, et al.
Pubblicazione: (2025)

Artificial intelligence to improve clinical coding practice in Scandinavia: a crossover randomized controlled trial
di: Chomutare, Taridzo, et al.
Pubblicazione: (2024)

READoc: A Unified Benchmark for Realistic Document Structured Extraction
di: Li, Zichao, et al.
Pubblicazione: (2024)

Your Students Don't Use LLMs Like You Wish They Did
di: Kobler, Sebastian, et al.
Pubblicazione: (2026)

StructRAG: Boosting Knowledge Intensive Reasoning of LLMs via Inference-time Hybrid Information Structurization
di: Li, Zhuoqun, et al.
Pubblicazione: (2024)

DBCopilot: Natural Language Querying over Massive Databases via Schema Routing
di: Wang, Tianshu, et al.
Pubblicazione: (2023)

Match, Compare, or Select? An Investigation of Large Language Models for Entity Matching
di: Wang, Tianshu, et al.
Pubblicazione: (2024)

Artificial Intelligence and Civil Discourse: How LLMs Moderate Climate Change Conversations
di: Fan, Wenlu, et al.
Pubblicazione: (2025)

Bringing order into the realm of Transformer-based language models for artificial intelligence and law
di: Greco, Candida M., et al.
Pubblicazione: (2023)