Saved in:
| Main Authors: | Le, Chenqian, Gong, Ziheng, Wang, Chihang, Ni, Haowei, Li, Panfeng, Chen, Xupeng |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2506.12182 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Auditing Frontier Vision-Language Models for Trustworthy Medical VQA: Grounding Failures, Format Collapse, and Domain Adaptation
by: Chen, Xupeng, et al.
Published: (2026)
by: Chen, Xupeng, et al.
Published: (2026)
Few-Shot Prompting for Extractive Quranic QA with Instruction-Tuned LLMs
by: Basem, Mohamed, et al.
Published: (2025)
by: Basem, Mohamed, et al.
Published: (2025)
Iterative Multimodal Retrieval-Augmented Generation for Medical Question Answering
by: Chen, Xupeng, et al.
Published: (2026)
by: Chen, Xupeng, et al.
Published: (2026)
MM-PhyQA: Multimodal Physics Question-Answering With Multi-Image CoT Prompting
by: Anand, Avinash, et al.
Published: (2024)
by: Anand, Avinash, et al.
Published: (2024)
D-SCoRE: Document-Centric Segmentation and CoT Reasoning with Structured Export for QA-CoT Data Generation
by: Zhou, Weibo, et al.
Published: (2025)
by: Zhou, Weibo, et al.
Published: (2025)
Enhancing Exchange Rate Forecasting with Explainable Deep Learning Models
by: Meng, Shuchen, et al.
Published: (2024)
by: Meng, Shuchen, et al.
Published: (2024)
Harnessing Earnings Reports for Stock Predictions: A QLoRA-Enhanced LLM Approach
by: Ni, Haowei, et al.
Published: (2024)
by: Ni, Haowei, et al.
Published: (2024)
CoT Vectors: Transferring and Probing the Reasoning Mechanisms of LLMs
by: Li, Li, et al.
Published: (2025)
by: Li, Li, et al.
Published: (2025)
P-RAG: Prompt-Enhanced Parametric RAG with LoRA and Selective CoT for Biomedical and Multi-Hop QA
by: Lyu, Xingda, et al.
Published: (2026)
by: Lyu, Xingda, et al.
Published: (2026)
Select2Reason: Efficient Instruction-Tuning Data Selection for Long-CoT Reasoning
by: Yang, Cehao, et al.
Published: (2025)
by: Yang, Cehao, et al.
Published: (2025)
Fine-Tuning on Diverse Reasoning Chains Drives Within-Inference CoT Refinement in LLMs
by: Puerto, Haritz, et al.
Published: (2024)
by: Puerto, Haritz, et al.
Published: (2024)
Stealth Fine-Tuning: Efficiently Breaking Alignment in RVLMs Using Self-Generated CoT
by: Yu, Le, et al.
Published: (2025)
by: Yu, Le, et al.
Published: (2025)
$π$-CoT: Prolog-Initialized Chain-of-Thought Prompting for Multi-Hop Question-Answering
by: Wan, Chao, et al.
Published: (2025)
by: Wan, Chao, et al.
Published: (2025)
Effectiveness of Zero-shot-CoT in Japanese Prompts
by: Takayama, Shusuke, et al.
Published: (2025)
by: Takayama, Shusuke, et al.
Published: (2025)
CoT-Valve: Length-Compressible Chain-of-Thought Tuning
by: Ma, Xinyin, et al.
Published: (2025)
by: Ma, Xinyin, et al.
Published: (2025)
Comparison of sEMG Encoding Accuracy Across Speech Modes Using Articulatory and Phoneme Features
by: Le, Chenqian, et al.
Published: (2026)
by: Le, Chenqian, et al.
Published: (2026)
P-CoT: A Pedagogically-motivated Participatory Chain-of-Thought Prompting for Phonological Reasoning in LLMs
by: Jang, Dongjun, et al.
Published: (2025)
by: Jang, Dongjun, et al.
Published: (2025)
Boosting Process-Correct CoT Reasoning by Modeling Solvability of Multiple-Choice QA
by: Schumann, Raphael, et al.
Published: (2025)
by: Schumann, Raphael, et al.
Published: (2025)
IAPT: Instruction-Aware Prompt Tuning for Large Language Models
by: Zhu, Wei, et al.
Published: (2024)
by: Zhu, Wei, et al.
Published: (2024)
Revisiting Direct Speech-to-Text Translation with Speech LLMs: Better Scaling than CoT Prompting?
by: Pareras, Oriol, et al.
Published: (2025)
by: Pareras, Oriol, et al.
Published: (2025)
Investigating CoT Monitorability in Large Reasoning Models
by: Yang, Shu, et al.
Published: (2025)
by: Yang, Shu, et al.
Published: (2025)
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)
by: Tong, Zhao, et al.
Published: (2026)
GenQA: Generating Millions of Instructions from a Handful of Prompts
by: Chen, Jiuhai, et al.
Published: (2024)
by: Chen, Jiuhai, et al.
Published: (2024)
A Review of Electromagnetic Elimination Methods for low-field portable MRI scanner
by: Bian, Wanyu, et al.
Published: (2024)
by: Bian, Wanyu, et al.
Published: (2024)
From Explicit CoT to Implicit CoT: Learning to Internalize CoT Step by Step
by: Deng, Yuntian, et al.
Published: (2024)
by: Deng, Yuntian, et al.
Published: (2024)
When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs
by: Li, Xiaomin, et al.
Published: (2025)
by: Li, Xiaomin, et al.
Published: (2025)
Parrot: A Training Pipeline Enhances Both Program CoT and Natural Language CoT for Reasoning
by: Jin, Senjie, et al.
Published: (2025)
by: Jin, Senjie, et al.
Published: (2025)
Co-CoT: A Prompt-Based Framework for Collaborative Chain-of-Thought Reasoning
by: Yoo, Seunghyun
Published: (2025)
by: Yoo, Seunghyun
Published: (2025)
PM-KVQ: Progressive Mixed-precision KV Cache Quantization for Long-CoT LLMs
by: Liu, Tengxuan, et al.
Published: (2025)
by: Liu, Tengxuan, et al.
Published: (2025)
How Likely Do LLMs with CoT Mimic Human Reasoning?
by: Bao, Guangsheng, et al.
Published: (2024)
by: Bao, Guangsheng, et al.
Published: (2024)
RFKG-CoT: Relation-Driven Adaptive Hop-count Selection and Few-Shot Path Guidance for Knowledge-Aware QA
by: Zhang, Chao, et al.
Published: (2025)
by: Zhang, Chao, et al.
Published: (2025)
Data Repetition Beats Data Scaling in Long-CoT Supervised Fine-Tuning
by: Kopiczko, Dawid J., et al.
Published: (2026)
by: Kopiczko, Dawid J., et al.
Published: (2026)
Prompt-MII: Meta-Learning Instruction Induction for LLMs
by: Xiao, Emily, et al.
Published: (2025)
by: Xiao, Emily, et al.
Published: (2025)
S3-CoT: Self-Sampled Succinct Reasoning Enables Efficient Chain-of-Thought LLMs
by: Du, Yanrui, et al.
Published: (2026)
by: Du, Yanrui, et al.
Published: (2026)
The Curse of CoT: On the Limitations of Chain-of-Thought in In-Context Learning
by: Zheng, Tianshi, et al.
Published: (2025)
by: Zheng, Tianshi, et al.
Published: (2025)
CoMMIT: Coordinated Multimodal Instruction Tuning
by: Li, Xintong, et al.
Published: (2024)
by: Li, Xintong, et al.
Published: (2024)
TIBSTC-CoT: A Multi-Domain Instruction Dataset for Chain-of-Thought Reasoning in Language Models
by: Gao, Fan, et al.
Published: (2025)
by: Gao, Fan, et al.
Published: (2025)
From Parameters to Prompts: Understanding and Mitigating the Factuality Gap between Fine-Tuned LLMs
by: Gong, Xuan, et al.
Published: (2025)
by: Gong, Xuan, et al.
Published: (2025)
To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning
by: Sprague, Zayne, et al.
Published: (2024)
by: Sprague, Zayne, et al.
Published: (2024)
QA-LIGN: Aligning LLMs through Constitutionally Decomposed QA
by: Dineen, Jacob, et al.
Published: (2025)
by: Dineen, Jacob, et al.
Published: (2025)
Similar Items
-
Auditing Frontier Vision-Language Models for Trustworthy Medical VQA: Grounding Failures, Format Collapse, and Domain Adaptation
by: Chen, Xupeng, et al.
Published: (2026) -
Few-Shot Prompting for Extractive Quranic QA with Instruction-Tuned LLMs
by: Basem, Mohamed, et al.
Published: (2025) -
Iterative Multimodal Retrieval-Augmented Generation for Medical Question Answering
by: Chen, Xupeng, et al.
Published: (2026) -
MM-PhyQA: Multimodal Physics Question-Answering With Multi-Image CoT Prompting
by: Anand, Avinash, et al.
Published: (2024) -
D-SCoRE: Document-Centric Segmentation and CoT Reasoning with Structured Export for QA-CoT Data Generation
by: Zhou, Weibo, et al.
Published: (2025)