Cover Image

Why Do Multilingual Reasoning Gaps Emerge in Reasoning Language Models?

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kang, Deokhyung, Hwang, Seonjeong, Kim, Daehui, Kim, Hyounghun, Lee, Gary Geunbae
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Learning When to Translate for Multilingual Reasoning
by: Kang, Deokhyung, et al.
Published: (2026)

Cross-lingual Back-Parsing: Utterance Synthesis from Meaning Representation for Zero-Resource Semantic Parsing
by: Kang, Deokhyung, et al.
Published: (2024)

KoBLEX: Open Legal Question Answering with Multi-hop Reasoning
by: Lee, Jihyung, et al.
Published: (2025)

Can LLMs Estimate Cognitive Complexity of Reading Comprehension Items?
by: Hwang, Seonjeong, et al.
Published: (2025)

Ontology-Free General-Domain Knowledge Graph-to-Text Generation Dataset Synthesis using Large Language Model
by: Kim, Daehee, et al.
Published: (2024)

Self-Correcting Code Generation Using Small Language Models
by: Cho, Jeonghun, et al.
Published: (2025)

Mixture-of-Experts with Intermediate CTC Supervision for Accented Speech Recognition
by: Lee, Wonjun, et al.
Published: (2026)

Denoising Table-Text Retrieval for Open-Domain Question Answering
by: Kang, Deokhyung, et al.
Published: (2024)

A Multi-Agent Framework for Feature-Constrained Difficulty Control in Reading Comprehension Item Generation
by: Hwang, Seonjeong, et al.
Published: (2026)

Learn Globally, Speak Locally: Bridging the Gaps in Multilingual Reasoning
by: Hwang, Jaedong, et al.
Published: (2025)

Behavior-Aware Item Modeling via Dynamic Procedural Solution Representations for Knowledge Tracing
by: Seo, Jun, et al.
Published: (2026)

Universal Reasoner: A Single, Composable Plug-and-Play Reasoner for Frozen LLMs
by: Kim, Jaemin, et al.
Published: (2025)

Cross-lingual Transfer for Automatic Question Generation by Learning Interrogative Structures in Target Languages
by: Hwang, Seonjeong, et al.
Published: (2024)

Merging Triggers, Breaking Backdoors: Defensive Poisoning for Instruction-Tuned Language Models
by: Kim, San, et al.
Published: (2026)

Multimodal Cognitive Reframing Therapy via Multi-hop Psychotherapeutic Reasoning
by: Kim, Subin, et al.
Published: (2025)

Revisiting Early Detection of Sexual Predators via Turn-level Optimization
by: An, Jinmyeong, et al.
Published: (2025)

Assessing LLM Reasoning Steps via Principal Knowledge Grounding
by: Hwang, Hyeon, et al.
Published: (2025)

Evaluating the Limits of Large Language Models in Multilingual Legal Reasoning
by: Ioannou, Antreas, et al.
Published: (2025)

Evaluating Robustness of Reward Models for Mathematical Reasoning
by: Kim, Sunghwan, et al.
Published: (2024)

When Thoughts Meet Facts: Reusable Reasoning for Long-Context LMs
by: Jeong, Soyeong, et al.
Published: (2025)

MiLQ: Benchmarking IR Models for Bilingual Web Search with Mixed Language Queries
by: Kim, Jonghwi, et al.
Published: (2025)

Self-Training Elicits Concise Reasoning in Large Language Models
by: Munkhbat, Tergel, et al.
Published: (2025)

Explainable Multi-hop Question Generation: An End-to-End Approach without Intermediate Question Labeling
by: Hwang, Seonjeong, et al.
Published: (2024)

Graph Elicitation for Guiding Multi-Step Reasoning in Large Language Models
by: Park, Jinyoung, et al.
Published: (2023)

Bridging the Gap between Expert and Language Models: Concept-guided Chess Commentary Generation and Evaluation
by: Kim, Jaechang, et al.
Published: (2024)

Reasoning Circuits in Language Models: A Mechanistic Interpretation of Syllogistic Inference
by: Kim, Geonhee, et al.
Published: (2024)

Language over Content: Tracing Cultural Understanding in Multilingual Large Language Models
by: Cho, Seungho, et al.
Published: (2025)

Revealing the Inherent Instructability of Pre-Trained Language Models
by: An, Seokhyun, et al.
Published: (2024)

mR3: Multilingual Rubric-Agnostic Reward Reasoning Models
by: Anugraha, David, et al.
Published: (2025)

An Enigma of Artificial Reason: Investigating the Production-Evaluation Gap in Large Reasoning Models
by: Sun, Mingzhong, et al.
Published: (2026)

Where Do Reasoning Models Refuse?
by: Yamaguchi, Kureha, et al.
Published: (2025)

Reaching Beyond the Mode: RL for Distributional Reasoning in Language Models
by: Puri, Isha, et al.
Published: (2026)

The Flexibility Trap: Why Arbitrary Order Limits Reasoning Potential in Diffusion Language Models
by: Ni, Zanlin, et al.
Published: (2026)

The Role of Deductive and Inductive Reasoning in Large Language Models
by: Cai, Chengkun, et al.
Published: (2024)

mCSQA: Multilingual Commonsense Reasoning Dataset with Unified Creation Strategy by Language Models and Humans
by: Sakai, Yusuke, et al.
Published: (2024)

AdaSTaR: Adaptive Data Sampling for Training Self-Taught Reasoners
by: Koh, Woosung, et al.
Published: (2025)

Retrieval-Augmented Fine-Tuning With Preference Optimization For Visual Program Generation
by: Kang, Deokhyung, et al.
Published: (2025)

Mathematical Reasoning in Large Language Models: Assessing Logical and Arithmetic Errors across Wide Numerical Ranges
by: Shrestha, Safal, et al.
Published: (2025)

Learning to Correct for QA Reasoning with Black-box LLMs
by: Kim, Jaehyung, et al.
Published: (2024)

ECG-Reasoning-Benchmark: A Benchmark for Evaluating Clinical Reasoning Capabilities in ECG Interpretation
by: Oh, Jungwoo, et al.
Published: (2026)