:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Jang, Dongjun, Ahn, Youngchae, Shin, Hyopil
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2507.16656
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

RCScore: Quantifying Response Consistency in Large Language Models
by: Jang, Dongjun, et al.
Published: (2025)

A Study on How Attention Scores in the BERT Model are Aware of Lexical Categories in Syntactic and Semantic Tasks on the GLUE Benchmark
by: Jang, Dongjun, et al.
Published: (2024)

KIT-19: A Comprehensive Korean Instruction Toolkit on 19 Tasks for Fine-Tuning Korean Large Language Models
by: Jang, Dongjun, et al.
Published: (2024)

DAHL: Domain-specific Automated Hallucination Evaluation of Long-Form Text through a Benchmark Dataset in Biomedicine
by: Seo, Jean, et al.
Published: (2024)

Co-CoT: A Prompt-Based Framework for Collaborative Chain-of-Thought Reasoning
by: Yoo, Seunghyun
Published: (2025)

KoBALT: Korean Benchmark For Advanced Linguistic Tasks
by: Shin, Hyopil, et al.
Published: (2025)

CARBD-Ko: A Contextually Annotated Review Benchmark Dataset for Aspect-Level Sentiment Classification in Korean
by: Jang, Dongjun, et al.
Published: (2024)

S3-CoT: Self-Sampled Succinct Reasoning Enables Efficient Chain-of-Thought LLMs
by: Du, Yanrui, et al.
Published: (2026)

CoT-Evo: Evolutionary Distillation of Chain-of-Thought for Scientific Reasoning
by: Feng, Kehua, et al.
Published: (2025)

KAM-CoT: Knowledge Augmented Multimodal Chain-of-Thoughts Reasoning
by: Mondal, Debjyoti, et al.
Published: (2024)

$π$-CoT: Prolog-Initialized Chain-of-Thought Prompting for Multi-Hop Question-Answering
by: Wan, Chao, et al.
Published: (2025)

SIM-CoT: Supervised Implicit Chain-of-Thought
by: Wei, Xilin, et al.
Published: (2025)

The Curse of CoT: On the Limitations of Chain-of-Thought in In-Context Learning
by: Zheng, Tianshi, et al.
Published: (2025)

LLMs can Find Mathematical Reasoning Mistakes by Pedagogical Chain-of-Thought
by: Jiang, Zhuoxuan, et al.
Published: (2024)

CoT-UQ: Improving Response-wise Uncertainty Quantification in LLMs with Chain-of-Thought
by: Zhang, Boxuan, et al.
Published: (2025)

CoT-Valve: Length-Compressible Chain-of-Thought Tuning
by: Ma, Xinyin, et al.
Published: (2025)

Korean Bio-Medical Corpus (KBMC) for Medical Named Entity Recognition
by: Byun, Sungjoo, et al.
Published: (2024)

Audio-CoT: Exploring Chain-of-Thought Reasoning in Large Audio Language Model
by: Ma, Ziyang, et al.
Published: (2025)

TIBSTC-CoT: A Multi-Domain Instruction Dataset for Chain-of-Thought Reasoning in Language Models
by: Gao, Fan, et al.
Published: (2025)

Video-Skill-CoT: Skill-based Chain-of-Thoughts for Domain-Adaptive Video Reasoning
by: Lee, Daeun, et al.
Published: (2025)

ERA-CoT: Improving Chain-of-Thought through Entity Relationship Analysis
by: Liu, Yanming, et al.
Published: (2024)

L2V-CoT: Cross-Modal Transfer of Chain-of-Thought Reasoning via Latent Intervention
by: Zhan, Yuliang, et al.
Published: (2025)

Fine-Tuning on Diverse Reasoning Chains Drives Within-Inference CoT Refinement in LLMs
by: Puerto, Haritz, et al.
Published: (2024)

CoT is Not the Chain of Truth: An Empirical Internal Analysis of Reasoning LLMs for Fake News Generation
by: Tong, Zhao, et al.
Published: (2026)

MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency
by: Jiang, Dongzhi, et al.
Published: (2025)

CoT-TL: Low-Resource Temporal Knowledge Representation of Planning Instructions Using Chain-of-Thought Reasoning
by: Manas, Kumar, et al.
Published: (2024)

CoT-BERT: Enhancing Unsupervised Sentence Representation through Chain-of-Thought
by: Zhang, Bowen, et al.
Published: (2023)

CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models
by: Li, Feiyang, et al.
Published: (2025)

EFT-CoT: A Multi-Agent Chain-of-Thought Framework for Emotion-Focused Therapy
by: Du, Lanqing, et al.
Published: (2026)

How does a Language-Specific Tokenizer affect LLMs?
by: Seo, Jean, et al.
Published: (2025)

SoftCoT: Soft Chain-of-Thought for Efficient Reasoning with LLMs
by: Xu, Yige, et al.
Published: (2025)

DiffCoT: Diffusion-styled Chain-of-Thought Reasoning in LLMs
by: Cao, Shidong, et al.
Published: (2026)

Chain-of-Thought Reasoning Without Prompting
by: Wang, Xuezhi, et al.
Published: (2024)

Instruction Tuning and CoT Prompting for Contextual Medical QA with LLMs
by: Le, Chenqian, et al.
Published: (2025)

CoT Vectors: Transferring and Probing the Reasoning Mechanisms of LLMs
by: Li, Li, et al.
Published: (2025)

ESTR-CoT: Towards Explainable and Accurate Event Stream based Scene Text Recognition with Chain-of-Thought Reasoning
by: Wang, Xiao, et al.
Published: (2025)

MoFE: Mixture of Frozen Experts Architecture
by: Seo, Jean, et al.
Published: (2025)

Reasoning with OmniThought: A Large CoT Dataset with Verbosity and Cognitive Difficulty Annotations
by: Cai, Wenrui, et al.
Published: (2025)

Recursive Chain-of-Feedback Prevents Performance Degradation from Redundant Prompting
by: Ahn, Jinwoo, et al.
Published: (2024)

M3Hop-CoT: Misogynous Meme Identification with Multimodal Multi-hop Chain-of-Thought
by: Kumari, Gitanjali, et al.
Published: (2024)