:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zou, Jinzi, Wang, Bolin, Li, Liang, Zhang, Shuo, Xu, Nuo, Zhao, Junzhou
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence
Online Access:	https://arxiv.org/abs/2602.14035
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Theoretical Analysis of Detecting Large Model-Generated Time Series
by: Hou, Junji, et al.
Published: (2025)

Towards Generalizable and Faithful Logic Reasoning over Natural Language via Resolution Refutation
by: Sun, Zhouhao, et al.
Published: (2024)

The Knowledge Alignment Problem: Bridging Human and External Knowledge for Large Language Models
by: Zhang, Shuo, et al.
Published: (2023)

FaithCoT-Bench: Benchmarking Instance-Level Faithfulness of Chain-of-Thought Reasoning
by: Shen, Xu, et al.
Published: (2025)

Towards CausalGPT: A Multi-Agent Approach for Faithful Knowledge Reasoning via Promoting Causal Consistency in LLMs
by: Tang, Ziyi, et al.
Published: (2023)

IFDNS: An Iterative Feedback-Driven Neuro-Symbolic Method for Faithful Logical Reasoning
by: Wang, Xiaoheng, et al.
Published: (2026)

Distinguish Confusion in Legal Judgment Prediction via Revised Relation Knowledge
by: Xu, Nuo, et al.
Published: (2024)

Flowchart2Mermaid: A Vision-Language Model Powered System for Converting Flowcharts into Editable Diagram Code
by: Deka, Pritam, et al.
Published: (2025)

Faithful-First Reasoning, Planning, and Acting for Multimodal LLMs
by: Li, Junxian, et al.
Published: (2025)

Extracting Training Dialogue Data from Large Language Model based Task Bots
by: Zhang, Shuo, et al.
Published: (2026)

FLARE: Faithful Logic-Aided Reasoning and Exploration
by: Arakelyan, Erik, et al.
Published: (2024)

Towards Making Flowchart Images Machine Interpretable
by: Shukla, Shreya, et al.
Published: (2025)

PaLMR: Towards Faithful Visual Reasoning via Multimodal Process Alignment
by: Li, Yantao, et al.
Published: (2026)

A Sensitivity-Driven Expert Allocation Method in LoRA-MoE for Efficient Fine-Tuning
by: Xu, Junzhou, et al.
Published: (2025)

Multi-agent Self-triage System with Medical Flowcharts
by: Liu, Yujia, et al.
Published: (2025)

Bridging Legal Interpretation and Formal Logic: Faithfulness, Assumption, and the Future of AI Legal Reasoning
by: Wang, Olivia Peiyu, et al.
Published: (2026)

Towards Unifying Perceptual Reasoning and Logical Reasoning
by: Kido, Hiroyuki
Published: (2022)

Towards Faithful Reasoning in Comics for Small MLLMs
by: Feng, Chengcheng, et al.
Published: (2026)

Towards Better Chain-of-Thought: A Reflection on Effectiveness and Faithfulness
by: Li, Jiachun, et al.
Published: (2024)

Verify Before You Commit: Towards Faithful Reasoning in LLM Agents via Self-Auditing
by: Yuan, Wenhao, et al.
Published: (2026)

PFDial: A Structured Dialogue Instruction Fine-tuning Method Based on UML Flowcharts
by: Zhang, Ming, et al.
Published: (2025)

Does Inference Scaling Improve Reasoning Faithfulness? A Multi-Model Analysis of Self-Consistency Tradeoffs
by: Mehta, Deep
Published: (2026)

Orchestration-Free Customer Service Automation: A Privacy-Preserving and Flowchart-Guided Framework
by: Hong, Mengze, et al.
Published: (2026)

First Multi-Dimensional Evaluation of Flowchart Comprehension for Multimodal Large Language Models
by: Zhang, Enming, et al.
Published: (2024)

Improving Faithfulness of Large Language Models in Summarization via Sliding Generation and Self-Consistency
by: Li, Taiji, et al.
Published: (2024)

Towards Annotation-Free Validation of MLLMs: A Vision-Language Logical Consistency Metric
by: Gu, Ying, et al.
Published: (2026)

From Implicit to Explicit: Token-Efficient Logical Supervision for Mathematical Reasoning in LLMs
by: Wang, Shaojie, et al.
Published: (2026)

DeFacto: Counterfactual Thinking with Images for Enforcing Evidence-Grounded and Faithful Reasoning
by: Xu, Tianrun, et al.
Published: (2025)

Reason from Fallacy: Enhancing Large Language Models' Logical Reasoning through Logical Fallacy Understanding
by: Li, Yanda, et al.
Published: (2024)

HardcoreLogic: Challenging Large Reasoning Models with Long-tail Logic Puzzle Games
by: Liang, Jingcong, et al.
Published: (2025)

Exploring Knowledge Conflicts for Faithful LLM Reasoning: Benchmark and Method
by: Zhao, Tianzhe, et al.
Published: (2026)

VinaBench: Benchmark for Faithful and Consistent Visual Narratives
by: Gao, Silin, et al.
Published: (2025)

Dissociation of Faithful and Unfaithful Reasoning in LLMs
by: Yee, Evelyn, et al.
Published: (2024)

Agentified Assessment of Logical Reasoning Agents
by: Ni, Zhiyu, et al.
Published: (2026)

Faithful or Just Plausible? Evaluating the Faithfulness of Closed-Source LLMs in Medical Reasoning
by: Afolabi, Halimat, et al.
Published: (2026)

FlowLearn: Evaluating Large Vision-Language Models on Flowchart Understanding
by: Pan, Huitong, et al.
Published: (2024)

From Good to Great: Improving Math Reasoning with Tool-Augmented Interleaf Prompting
by: Chen, Nuo, et al.
Published: (2023)

Self-Evolving Spatial Reasoning in Vision Language Models via Geometric Logic Consistency
by: Liu, Junming, et al.
Published: (2026)

RPTS: Tree-Structured Reasoning Process Scoring for Faithful Multimodal Evaluation
by: Wang, Haofeng, et al.
Published: (2025)

A Necessary Step toward Faithfulness: Measuring and Improving Consistency in Free-Text Explanations
by: Zhao, Lingjun, et al.
Published: (2025)