Cover Image

When Reviews Disagree: Fine-Grained Contradiction Analysis in Scientific Peer Reviews

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kumar, Sandeep, Kamdar, Yash, Hossain, Abid, Kumari, Bharti, Saikh, Tanik, Ekbal, Asif
Format:	Preprint
Published:	2026
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Can Large Language Models Unlock Novel Scientific Research Ideas?
by: Kumar, Sandeep, et al.
Published: (2024)

Mind the Pause: Disfluency-Aware Objective Tuning for Multilingual Speech Correction with LLMs
by: Kumar, Deepak, et al.
Published: (2026)

From Hallucinations to Facts: Enhancing Language Models with Curated Knowledge Graphs
by: Joshi, Ratnesh Kumar, et al.
Published: (2024)

EchoReview: Learning Peer Review from the Echoes of Scientific Citations
by: Zhang, Yinuo, et al.
Published: (2026)

Computational Politeness in Natural Language Processing: A Survey
by: Priya, Priyanshu, et al.
Published: (2024)

'Quis custodiet ipsos custodes?' Who will watch the watchmen? On Detecting AI-generated peer-reviews
by: Kumar, Sandeep, et al.
Published: (2024)

Indic-TunedLens: Interpreting Multilingual Models in Indian Languages
by: Panchal, Mihir, et al.
Published: (2026)

One Model to Translate Them All? A Journey to Mount Doom for Multilingual Model Merging
by: Gain, Baban, et al.
Published: (2026)

When Reject Turns into Accept: Quantifying the Vulnerability of LLM-Based Scientific Reviewers to Indirect Prompt Injection
by: Sahoo, Devanshu, et al.
Published: (2025)

PeerQA: A Scientific Question Answering Dataset from Peer Reviews
by: Baumgärtner, Tim, et al.
Published: (2025)

Seeing Through VisualBERT: A Causal Adventure on Memetic Landscapes
by: Bandyopadhyay, Dibyanayan, et al.
Published: (2024)

Beyond the Sentence: A Survey on Context-Aware Machine Translation with Large Language Models
by: Appicharla, Ramakrishna, et al.
Published: (2025)

CAuSE: Decoding Multimodal Classifiers using Faithful Natural Language Explanation
by: Bandyopadhyay, Dibyanayan, et al.
Published: (2025)

DeepReviewer 2.0: A Traceable Agentic System for Auditable Scientific Peer Review
by: Weng, Yixuan, et al.
Published: (2026)

We Argue to Agree: Towards Personality-Driven Argumentation-Based Negotiation Dialogue Systems for Tourism
by: Priya, Priyanshu, et al.
Published: (2025)

Quality Estimation based Feedback Training for Improving Pronoun Translation
by: Dhankhar, Harshit, et al.
Published: (2025)

Bridging the Linguistic Divide: A Survey on Leveraging Large Language Models for Machine Translation
by: Gain, Baban, et al.
Published: (2025)

Is Peer-Reviewing Worth the Effort?
by: Church, Kenneth, et al.
Published: (2024)

When Audio and Text Disagree: Revealing Text Bias in Large Audio-Language Models
by: Wang, Cheng, et al.
Published: (2025)

Can AI Be a Good Peer Reviewer? A Survey of Peer Review Process, Evaluation, and the Future
by: Wu, Sihong, et al.
Published: (2026)

When Metrics Disagree: Automatic Similarity vs. LLM-as-a-Judge for Clinical Dialogue Evaluation
by: Sun, Bian, et al.
Published: (2026)

PRAIB: Peer Review AI Benchmark of Behaviour of LLM-Assisted Reviewing
by: Żurawicki, Krzysztof, et al.
Published: (2026)

Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks
by: Joshi, Ratnesh Kumar, et al.
Published: (2024)

ReviewRL: Towards Automated Scientific Review with RL
by: Zeng, Sihang, et al.
Published: (2025)

Is Your Paper Being Reviewed by an LLM? Benchmarking AI Text Detection in Peer Review
by: Yu, Sungduk, et al.
Published: (2025)

Is Your Paper Being Reviewed by an LLM? Investigating AI Text Detectability in Peer Review
by: Yu, Sungduk, et al.
Published: (2024)

ReviewerToo: Should AI Join The Program Committee? A Look At The Future of Peer Review
by: Sahu, Gaurav, et al.
Published: (2025)

Impact of Visual Context on Noisy Multimodal NMT: An Empirical Study for English to Indian Languages
by: Gain, Baban, et al.
Published: (2023)

Fine-tuning BERT with Bidirectional LSTM for Fine-grained Movie Reviews Sentiment Analysis
by: Nkhata, Gibson, et al.
Published: (2025)

From Text to Transformation: A Comprehensive Review of Large Language Models' Versatility
by: Kaur, Pravneet, et al.
Published: (2024)

Breaking the Reviewer: Assessing the Vulnerability of Large Language Models in Automated Peer Review Under Textual Adversarial Attacks
by: Lin, Tzu-Ling, et al.
Published: (2025)

LLM Review: Enhancing Creative Writing via Blind Peer Review Feedback
by: Li, Weiyue, et al.
Published: (2026)

REM-CTX: Automated Peer Review via Reinforcement Learning with Auxiliary Context
by: Taechoyotin, Pawin, et al.
Published: (2026)

Exploring Prompt Engineering: A Systematic Review with SWOT Analysis
by: Singh, Aditi, et al.
Published: (2024)

The Good, the Bad and the Constructive: Automatically Measuring Peer Review's Utility for Authors
by: Sadallah, Abdelrahman, et al.
Published: (2025)

Learning from Committee: Reasoning Distillation from a Mixture of Teachers with Peer-Review
by: Li, Zhuochun, et al.
Published: (2024)

Generative Adversarial Reviews: When LLMs Become the Critic
by: Bougie, Nicolas, et al.
Published: (2024)

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

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

Towards Efficient Large Language Models for Scientific Text: A Review
by: To, Huy Quoc, et al.
Published: (2024)