Copertina

Towards More Accurate US Presidential Election via Multi-step Reasoning with Large Language Models

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Yu, Chenxiao, Weng, Zhaotian, Li, Yuangang, Li, Zheng, Hu, Xiyang, Zhao, Yue
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Artificial Intelligence Computation and Language Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

A Large-Scale Simulation on Large Language Models for Decision-Making in Political Science
di: Yu, Chenxiao, et al.
Pubblicazione: (2024)

Mitigating Hallucinations in Large Language Models via Causal Reasoning
di: Li, Yuangang, et al.
Pubblicazione: (2025)

Value-Action Alignment in Large Language Models under Privacy-Prosocial Conflict
di: Chen, Guanyu, et al.
Pubblicazione: (2026)

Multimodal Generative Engine Optimization: Rank Manipulation for Vision-Language Model Rankers
di: Du, Yixuan, et al.
Pubblicazione: (2026)

What's Missing in Vision-Language Models? Probing Their Struggles with Causal Order Reasoning
di: Weng, Zhaotian, et al.
Pubblicazione: (2025)

AD-LLM: Benchmarking Large Language Models for Anomaly Detection
di: Yang, Tiankai, et al.
Pubblicazione: (2024)

NLP-ADBench: NLP Anomaly Detection Benchmark
di: Li, Yuangang, et al.
Pubblicazione: (2024)

StealthRank: LLM Ranking Manipulation via Stealthy Prompt Optimization
di: Tang, Yiming, et al.
Pubblicazione: (2025)

Language Shapes Mental Health Evaluations in Large Language Models
di: Xu, Jiayi, et al.
Pubblicazione: (2026)

Dynamics of Adversarial Attacks on Large Language Model-Based Search Engines
di: Hu, Xiyang
Pubblicazione: (2025)

Images Speak Louder than Words: Understanding and Mitigating Bias in Vision-Language Model from a Causal Mediation Perspective
di: Weng, Zhaotian, et al.
Pubblicazione: (2024)

Recursive Models for Long-Horizon Reasoning
di: Yang, Chenxiao, et al.
Pubblicazione: (2026)

Towards Reasoning-Preserving Unlearning in Multimodal Large Language Models
di: Li, Hongji, et al.
Pubblicazione: (2025)

Medical Reasoning with Large Language Models: A Survey and MR-Bench
di: Ren, Xiaohan, et al.
Pubblicazione: (2026)

Tracing Moral Foundations in Large Language Models
di: Yu, Chenxiao, et al.
Pubblicazione: (2026)

Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
di: Xu, Fengli, et al.
Pubblicazione: (2025)

Chain-of-Reasoning: Towards Unified Mathematical Reasoning in Large Language Models via a Multi-Paradigm Perspective
di: Yu, Yiyao, et al.
Pubblicazione: (2025)

Towards Hierarchical Multi-Step Reward Models for Enhanced Reasoning in Large Language Models
di: Wang, Teng, et al.
Pubblicazione: (2025)

LLM-POTUS Score: A Framework of Analyzing Presidential Debates with Large Language Models
di: Liu, Zhengliang, et al.
Pubblicazione: (2024)

A Survey on Feedback-based Multi-step Reasoning for Large Language Models on Mathematics
di: Wei, Ting-Ruen, et al.
Pubblicazione: (2025)

SimLens for Early Exit in Large Language Models: Eliciting Accurate Latent Predictions with One More Token
di: Ma, Ming, et al.
Pubblicazione: (2025)

Towards Safe Reasoning in Large Reasoning Models via Corrective Intervention
di: Zhang, Yichi, et al.
Pubblicazione: (2025)

CARE: An Explainable Computational Framework for Assessing Client-Perceived Therapeutic Alliance Using Large Language Models
di: Li, Anqi, et al.
Pubblicazione: (2026)

Russia and the 2020 U.S. Presidential Election
di: Daniela Sandoval Careaga
Pubblicazione: (2020)

Bank Lending in U.S. Presidential Elections
di: Alexander Dentler, et al.
Pubblicazione: (2026)

Progressive-Hint Prompting Improves Reasoning in Large Language Models
di: Zheng, Chuanyang, et al.
Pubblicazione: (2023)

UniVer: A Unified Perspective for Multi-step and Multi-draft Speculative Decoding
di: Weng, Yepeng, et al.
Pubblicazione: (2026)

Anti-Self-Distillation for Reasoning RL via Pointwise Mutual Information
di: Shen, Guobin, et al.
Pubblicazione: (2026)

Let's Be Self-generated via Step by Step: A Curriculum Learning Approach to Automated Reasoning with Large Language Models
di: Luo, Kangyang, et al.
Pubblicazione: (2024)

Towards Understanding Multi-Round Large Language Model Reasoning: Approximability, Learnability and Generalizability
di: Xu, Chenhui, et al.
Pubblicazione: (2025)

ProgGen: Generating Named Entity Recognition Datasets Step-by-step with Self-Reflexive Large Language Models
di: Heng, Yuzhao, et al.
Pubblicazione: (2024)

Reasoning Models Hallucinate More: Factuality-Aware Reinforcement Learning for Large Reasoning Models
di: Li, Junyi, et al.
Pubblicazione: (2025)

Empowering Multi-step Reasoning across Languages via Tree-of-Thoughts
di: Ranaldi, Leonardo, et al.
Pubblicazione: (2023)

STEMVerse: A Dual-Axis Diagnostic Framework for STEM Reasoning in Large Language Models
di: Li, Xuzhao, et al.
Pubblicazione: (2026)

Personality Alignment of Large Language Models
di: Zhu, Minjun, et al.
Pubblicazione: (2024)

Lost in Execution: On the Multilingual Robustness of Tool Calling in Large Language Models
di: Luo, Zheng, et al.
Pubblicazione: (2026)

ElectionSim: Massive Population Election Simulation Powered by Large Language Model Driven Agents
di: Zhang, Xinnong, et al.
Pubblicazione: (2024)

Enhancing Large Language Model Performance To Answer Questions and Extract Information More Accurately
di: Zhang, Liang, et al.
Pubblicazione: (2024)

Analysing Personal Attacks in U.S. Presidential Debates
di: Goyal, Ruban, et al.
Pubblicazione: (2025)

Toward Adaptive Reasoning in Large Language Models with Thought Rollback
di: Chen, Sijia, et al.
Pubblicazione: (2024)