Cover Image

AutoPR: Let's Automate Your Academic Promotion!

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Qiguang, Yan, Zheng, Yang, Mingda, Qin, Libo, Yuan, Yixin, Li, Hanjing, Liu, Jinhao, Ji, Yiyan, Peng, Dengyun, Guan, Jiannan, Hu, Mengkang, Du, Yantao, Che, Wanxiang
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Aware First, Think Less: Dynamic Boundary Self-Awareness Drives Extreme Reasoning Efficiency in Large Language Models
by: Chen, Qiguang, et al.
Published: (2025)

AI4Research: A Survey of Artificial Intelligence for Scientific Research
by: Chen, Qiguang, et al.
Published: (2025)

Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models
by: Chen, Qiguang, et al.
Published: (2025)

Beware of Reasoning Overconfidence: Pitfalls in the Reasoning Process for Multi-solution Tasks
by: Guan, Jiannan, et al.
Published: (2025)

Beyond Surface Reasoning: Unveiling the True Long Chain-of-Thought Capacity of Diffusion Large Language Models
by: Chen, Qiguang, et al.
Published: (2025)

Learning the Boundary of Solvability: Aligning LLMs to Detect Unsolvable Problems
by: Peng, Dengyun, et al.
Published: (2025)

Electronic Circuit Principles of Large Language Models
by: Chen, Qiguang, et al.
Published: (2025)

The Universal Landscape of Human Reasoning
by: Chen, Qiguang, et al.
Published: (2025)

MPCC: A Novel Benchmark for Multimodal Planning with Complex Constraints in Multimodal Large Language Models
by: Ji, Yiyan, et al.
Published: (2025)

AutoCAP: Towards Automatic Cross-lingual Alignment Planning for Zero-shot Chain-of-Thought
by: Zhang, Yongheng, et al.
Published: (2024)

DLPO: Towards a Robust, Efficient, and Generalizable Prompt Optimization Framework from a Deep-Learning Perspective
by: Peng, Dengyun, et al.
Published: (2025)

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning
by: Chen, Qiguang, et al.
Published: (2025)

Unlocking the Capabilities of Thought: A Reasoning Boundary Framework to Quantify and Optimize Chain-of-Thought
by: Chen, Qiguang, et al.
Published: (2024)

Do Coding Agents Understand Least-Privilege Authorization?
by: Yan, Zheng, et al.
Published: (2026)

X-WebAgentBench: A Multilingual Interactive Web Benchmark for Evaluating Global Agentic System
by: Wang, Peng, et al.
Published: (2025)

What Factors Affect Multi-Modal In-Context Learning? An In-Depth Exploration
by: Qin, Libo, et al.
Published: (2024)

M$^3$CoT: A Novel Benchmark for Multi-Domain Multi-step Multi-modal Chain-of-Thought
by: Chen, Qiguang, et al.
Published: (2024)

The Molecular Structure of Thought: Mapping the Topology of Long Chain-of-Thought Reasoning
by: Chen, Qiguang, et al.
Published: (2026)

ViTCoT: Video-Text Interleaved Chain-of-Thought for Boosting Video Understanding in Large Language Models
by: Zhang, Yongheng, et al.
Published: (2025)

ESAinsTOD: A Unified End-to-End Schema-Aware Instruction-Tuning Framework for Task-Oriented Dialog Modeling
by: Teng, Dechuan, et al.
Published: (2026)

CroPrompt: Cross-task Interactive Prompting for Zero-shot Spoken Language Understanding
by: Qin, Libo, et al.
Published: (2024)

CoMT: A Novel Benchmark for Chain of Multi-modal Thought on Large Vision-Language Models
by: Cheng, Zihui, et al.
Published: (2024)

Let's Think with Images Efficiently! An Interleaved-Modal Chain-of-Thought Reasoning Framework with Dynamic and Precise Visual Thoughts
by: Liu, Xu, et al.
Published: (2026)

Manager: Aggregating Insights from Unimodal Experts in Two-Tower VLMs and MLLMs
by: Xu, Xiao, et al.
Published: (2025)

The Scaling Laws of Skills in LLM Agent Systems
by: Chen, Charles, et al.
Published: (2026)

Large Language Models Meet NLP: A Survey
by: Qin, Libo, et al.
Published: (2024)

Multilingual Large Language Model: A Survey of Resources, Taxonomy and Frontiers
by: Qin, Libo, et al.
Published: (2024)

Improving Language Model Reasoning with Self-motivated Learning
by: Feng, Yunlong, et al.
Published: (2024)

Pro-HAN: A Heterogeneous Graph Attention Network for Profile-Based Spoken Language Understanding
by: Teng, Dechuan, et al.
Published: (2024)

A Two-Stage Framework with Self-Supervised Distillation For Cross-Domain Text Classification
by: Feng, Yunlong, et al.
Published: (2023)

Can Large Language Models Understand You Better? An MBTI Personality Detection Dataset Aligned with Population Traits
by: Li, Bohan, et al.
Published: (2024)

Agentic AutoSurvey: Let LLMs Survey LLMs
by: Liu, Yixin, et al.
Published: (2025)

What are the Essential Factors in Crafting Effective Long Context Multi-Hop Instruction Datasets? Insights and Best Practices
by: Chen, Zhi, et al.
Published: (2024)

OMIBench: Benchmarking Olympiad-Level Multi-Image Reasoning in Large Vision-Language Model
by: Chen, Qiguang, et al.
Published: (2026)

Exploring Multi-Grained Concept Annotations for Multimodal Large Language Models
by: Xu, Xiao, et al.
Published: (2024)

Visual Thoughts: A Unified Perspective of Understanding Multimodal Chain-of-Thought
by: Cheng, Zihui, et al.
Published: (2025)

Auto-FP: An Experimental Study of Automated Feature Preprocessing for Tabular Data
by: Qi, Danrui, et al.
Published: (2023)

Don't Let AI Agents YOLO Your Files: Shifting Information and Control to Filesystems for Agent Safety and Autonomy
by: Zhong, Shawn Wanxiang, et al.
Published: (2026)

DAC: Decomposed Automation Correction for Text-to-SQL
by: Wang, Dingzirui, et al.
Published: (2024)

Let Your Video Listen to Your Music!
by: Zhang, Xinyu, et al.
Published: (2025)