:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Shidara, Kie, Prem, Preethi, Kim, Jonathan, Podlasek, Anna, Liu, Feng, Alaa, Ahmed, Bernardo, Danilo
Formato:	Preprint
Publicado:	2026
Materias:	Computation and Language
Acceso en línea:	https://arxiv.org/abs/2601.11866
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Limitations of Large Language Models in Clinical Problem-Solving Arising from Inflexible Reasoning
por: Kim, Jonathan, et al.
Publicado: (2025)

When To Solve, When To Verify: Compute-Optimal Problem Solving and Generative Verification for LLM Reasoning
por: Singhi, Nishad, et al.
Publicado: (2025)

ER-Reason: A Benchmark Dataset for LLM Clinical Reasoning in the Emergency Room
por: Mehandru, Nikita, et al.
Publicado: (2025)

Enhancing LLM Problem Solving with REAP: Reflection, Explicit Problem Deconstruction, and Advanced Prompting
por: Lingo, Ryan, et al.
Publicado: (2024)

Demystifying Scientific Problem-Solving in LLMs by Probing Knowledge and Reasoning
por: Li, Alan, et al.
Publicado: (2025)

Advancing Mathematical Reasoning in Language Models: The Impact of Problem-Solving Data, Data Synthesis Methods, and Training Stages
por: Chen, Zui, et al.
Publicado: (2025)

Does Learning Mathematical Problem-Solving Generalize to Broader Reasoning?
por: Zhou, Ruochen, et al.
Publicado: (2025)

Inference Scaling vs Reasoning: An Empirical Analysis of Compute-Optimal LLM Problem-Solving
por: AbdElhameed, Marwan, et al.
Publicado: (2024)

Extending Token Computation for LLM Reasoning
por: Liao, Bingli, et al.
Publicado: (2024)

Self-consistent Reasoning For Solving Math Word Problems
por: Xiong, Jing, et al.
Publicado: (2022)

LLM for Complex Reasoning Task: An Exploratory Study in Fermi Problems
por: Liu, Zishuo, et al.
Publicado: (2025)

EEG-GPT: Exploring Capabilities of Large Language Models for EEG Classification and Interpretation
por: Kim, Jonathan W., et al.
Publicado: (2024)

Symbolic or Numerical? Understanding Physics Problem Solving in Reasoning LLMs
por: Dan, Nifu, et al.
Publicado: (2025)

General-Reasoner: Advancing LLM Reasoning Across All Domains
por: Ma, Xueguang, et al.
Publicado: (2025)

LASER: An LLM-based ASR Scoring and Evaluation Rubric
por: Parulekar, Amruta, et al.
Publicado: (2025)

Idea First, Code Later: Disentangling Problem Solving from Code Generation in Evaluating LLMs for Competitive Programming
por: Hadhoud, Sama, et al.
Publicado: (2026)

Teaching LLMs According to Their Aptitude: Adaptive Reasoning for Mathematical Problem Solving
por: Xu, Xin, et al.
Publicado: (2025)

Physics Reasoner: Knowledge-Augmented Reasoning for Solving Physics Problems with Large Language Models
por: Pang, Xinyu, et al.
Publicado: (2024)

Breaking Quadratic Barriers: A Non-Attention LLM for Ultra-Long Context Horizons
por: Kiruluta, Andrew, et al.
Publicado: (2025)

Problem-Solving Guide: Predicting the Algorithm Tags and Difficulty for Competitive Programming Problems
por: Kim, Juntae, et al.
Publicado: (2023)

Multi-LLM Collaborative Search for Complex Problem Solving
por: Yang, Sen, et al.
Publicado: (2025)

Enabling Flexible Multi-LLM Integration for Scalable Knowledge Aggregation
por: Kong, Zhenglun, et al.
Publicado: (2025)

Large Language Models Are Self-Taught Reasoners: Enhancing LLM Applications via Tailored Problem-Solving Demonstrations
por: Ong, Kai Tzu-iunn, et al.
Publicado: (2024)

Long-horizon Reasoning Agent for Olympiad-Level Mathematical Problem Solving
por: Gao, Songyang, et al.
Publicado: (2025)

Boosting Zero-Shot Crosslingual Performance using LLM-Based Augmentations with Effective Data Selection
por: Fazili, Barah, et al.
Publicado: (2024)

Veracity Bias and Beyond: Uncovering LLMs' Hidden Beliefs in Problem-Solving Reasoning
por: Zhou, Yue, et al.
Publicado: (2025)

Solving Math Word Problems via Cooperative Reasoning induced Language Models
por: Zhu, Xinyu, et al.
Publicado: (2022)

XITE: Cross-lingual Interpolation for Transfer using Embeddings
por: Fazili, Barah, et al.
Publicado: (2026)

Response Generation for Cognitive Behavioral Therapy with Large Language Models: Comparative Study with Socratic Questioning
por: Izumi, Kenta, et al.
Publicado: (2024)

BPP-Search: Enhancing Tree of Thought Reasoning for Mathematical Modeling Problem Solving
por: Wang, Teng, et al.
Publicado: (2024)

Self-Reflection in LLM Agents: Effects on Problem-Solving Performance
por: Renze, Matthew, et al.
Publicado: (2024)

Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code
por: Bao, Keqin, et al.
Publicado: (2025)

Max It or Miss It: Benchmarking LLM On Solving Extremal Problems
por: Gao, Binxin, et al.
Publicado: (2025)

XFinBench: Benchmarking LLMs in Complex Financial Problem Solving and Reasoning
por: Zhang, Zhihan, et al.
Publicado: (2025)

GeoMathCode: Understanding Interleaved Math-Code Reasoning for Geometry Problem Solving
por: Zhang, Yingji, et al.
Publicado: (2026)

MathMist: A Parallel Multilingual Benchmark Dataset for Mathematical Problem Solving and Reasoning
por: Sobhani, Mahbub E, et al.
Publicado: (2025)

CreDes: Causal Reasoning Enhancement and Dual-End Searching for Solving Long-Range Reasoning Problems using LLMs
por: Wang, Kangsheng, et al.
Publicado: (2024)

LEME: Open Large Language Models for Ophthalmology with Advanced Reasoning and Clinical Validation
por: Kim, Hyunjae, et al.
Publicado: (2024)

RLAD: Training LLMs to Discover Abstractions for Solving Reasoning Problems
por: Qu, Yuxiao, et al.
Publicado: (2025)

Critique-GRPO: Advancing LLM Reasoning with Natural Language and Numerical Feedback
por: Zhang, Xiaoying, et al.
Publicado: (2025)