Cover Image

Automatic Paper Reviewing with Heterogeneous Graph Reasoning over LLM-Simulated Reviewer-Author Debates

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Shuaimin, Fan, Liyang, Lin, Yufang, Li, Zeyang, Wei, Xian, Ni, Shiwen, Alinejad-Rokny, Hamid, Yang, Min
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

xJailbreak: Representation Space Guided Reinforcement Learning for Interpretable LLM Jailbreaking
by: Lee, Sunbowen, et al.
Published: (2025)

CoTJudger: A Graph-Driven Framework for Automatic Evaluation of Chain-of-Thought Efficiency and Redundancy in LRMs
by: Li, Siyi, et al.
Published: (2026)

AgentCourt: Simulating Court with Adversarial Evolvable Lawyer Agents
by: Chen, Guhong, et al.
Published: (2024)

Small Language Model as Data Prospector for Large Language Model
by: Ni, Shiwen, et al.
Published: (2024)

AutoPatent: A Multi-Agent Framework for Automatic Patent Generation
by: Wang, Qiyao, et al.
Published: (2024)

Lower Layers Matter: Alleviating Hallucination via Multi-Layer Fusion Contrastive Decoding with Truthfulness Refocused
by: Chen, Dingwei, et al.
Published: (2024)

CollectiveSFT: Scaling Large Language Models for Chinese Medical Benchmark with Collective Instructions in Healthcare
by: Zhu, Jingwei, et al.
Published: (2024)

Expanding before Inferring: Enhancing Factuality in Large Language Models through Premature Layers Interpolation
by: Chen, Dingwei, et al.
Published: (2025)

How chromatin interactions shed light on interpreting non-coding genomic variants: opportunities and future direc-tions
by: Liang, Yuheng, et al.
Published: (2024)

RxSafeBench: Identifying Medication Safety Issues of Large Language Models in Simulated Consultation
by: Zhao, Jiahao, et al.
Published: (2025)

The Reasoning Trap: How Enhancing LLM Reasoning Amplifies Tool Hallucination
by: Yin, Chenlong, et al.
Published: (2025)

PersonaMath: Boosting Mathematical Reasoning via Persona-Driven Data Augmentation
by: Luo, Jing, et al.
Published: (2024)

SC-Arena: A Natural Language Benchmark for Single-Cell Reasoning with Knowledge-Augmented Evaluation
by: Zhao, Jiahao, et al.
Published: (2026)

Enhancing Monte Carlo Dropout Performance for Uncertainty Quantification
by: Asgharnezhad, Hamzeh, et al.
Published: (2025)

InteractWeb-Bench: Can Multimodal Agent Escape Blind Execution in Interactive Website Generation?
by: Wang, Qiyao, et al.
Published: (2026)

PatRe: A Full-Stage Office Action and Rebuttal Generation Benchmark for Patent Examination
by: Wang, Qiyao, et al.
Published: (2026)

Interpretable graph-based models on multimodal biomedical data integration: A technical review and benchmarking
by: Sadeghi, Alireza, et al.
Published: (2025)

SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics
by: Zahedi, Roxana, et al.
Published: (2025)

FlowPIE: Test-Time Scientific Idea Evolution with Flow-Guided Literature Exploration
by: Wang, Qiyao, et al.
Published: (2026)

ETAGE: Enhanced Test Time Adaptation with Integrated Entropy and Gradient Norms for Robust Model Performance
by: Shamsi, Afshar, et al.
Published: (2024)

A Survey on Large Language Model Benchmarks
by: Ni, Shiwen, et al.
Published: (2025)

Training Superior Sparse Autoencoders for Instruct Models
by: Li, Jiaming, et al.
Published: (2025)

Quantification of Large Language Model Distillation
by: Lee, Sunbowen, et al.
Published: (2025)

ToolRM: Towards Agentic Tool-Use Reward Modeling
by: Li, Renhao, et al.
Published: (2025)

Advancing Medical Image Segmentation with Mini-Net: A Lightweight Solution Tailored for Efficient Segmentation of Medical Images
by: Javed, Syed, et al.
Published: (2024)

Computational Orthodontic Force Simulation: A Review
by: Ahmad, Waheed, et al.
Published: (2025)

IPBench: Benchmarking the Knowledge of Large Language Models in Intellectual Property
by: Wang, Qiyao, et al.
Published: (2025)

RuCL: Stratified Rubric-Based Curriculum Learning for Multimodal Large Language Model Reasoning
by: Chen, Yukun, et al.
Published: (2026)

CLinNET: An Interpretable and Uncertainty‐Aware Deep Learning Framework for Multi‐Modal Clinical Genomics
by: Ivan Bakhshayeshi, et al.
Published: (2026)

A Position Paper on the Automatic Generation of Machine Learning Leaderboards
by: Timmer, Roelien C, et al.
Published: (2025)

Educational-Psychological Dialogue Robot Based on Multi-Agent Collaboration
by: Ni, Shiwen, et al.
Published: (2024)

Structuring Reasoning for Complex Rules Beyond Flat Representations
by: Yang, Zhihao, et al.
Published: (2025)

A Diagnostic Model for Acute Lymphoblastic Leukemia Using Metaheuristics and Deep Learning Methods
by: Rahmani, Amir Masoud, et al.
Published: (2024)

Focal Modulation and Bidirectional Feature Fusion Network for Medical Image Segmentation
by: Safdar, Moin, et al.
Published: (2025)

CLaSp: In-Context Layer Skip for Self-Speculative Decoding
by: Chen, Longze, et al.
Published: (2025)

PLOT: Enhancing Preference Learning via Optimal Transport
by: Zhu, Liang, et al.
Published: (2026)

Reviewing Scientific Papers for Critical Problems With Reasoning LLMs: Baseline Approaches and Automatic Evaluation
by: Zhang, Tianmai M., et al.
Published: (2025)

HiST: Histological Images Reconstruct Tumor Spatial Transcriptomics via MultiScale Fusion Deep Learning
by: Wei Li, et al.
Published: (2026)

SEM: Reinforcement Learning for Search-Efficient Large Language Models
by: Sha, Zeyang, et al.
Published: (2025)

Unveiling the Merits and Defects of LLMs in Automatic Review Generation for Scientific Papers
by: Li, Ruochi, et al.
Published: (2025)