Reviewing the Reviewer: LLM-Assisted Reviewer Feedback Generation for Guideline Compliance

arXiv:2602.10118 · cs.CL, cs.CY · Submitted 2026-01-17 · Read on arXiv

cs.CL, cs.CY

Submitted: 2026-01-17

Updated: 2026-09-02

Code: https://github.com/UKPLab/arxiv2026-reviewfeedbackagent

Terminology

• Ablation — 16× in this paper · explained in 1 episode
• Ablation study — 11× in this paper · explained in 1 episode
• Random Forest — 7× in this paper
• Transformer — 7× in this paper · explained in 2 episodes
• Feature Extraction — 6× in this paper · explained in 2 episodes
• Alignment — 5× in this paper · explained in 1 episode
• Interpretability — 5× in this paper · explained in 15 episodes
• ACL Rolling Review — 4× in this paper
• Benchmark — 4× in this paper · explained in 2 episodes
• Fine-Tuning — 4× in this paper · explained in 5 episodes
• Robustness — 4× in this paper · explained in 5 episodes
• Adam — 3× in this paper · explained in 2 episodes
• Consistency — 3× in this paper · explained in 3 episodes
• Generalizability — 3× in this paper · explained in 6 episodes
• Generalization — 3× in this paper · explained in 13 episodes
• Multi-layer Perceptron — 3× in this paper
• Paper Review — 3× in this paper · explained in 3 episodes
• Accuracy — 2× in this paper · explained in 1 episode
• Annotator Agreement — 2× in this paper · explained in 1 episode
• Commentary — 2× in this paper · explained in 2 episodes
• Foundation Model — 2× in this paper · explained in 3 episodes
• Neuro-symbolic approach — 2× in this paper · explained in 5 episodes
• Redundancy — 2× in this paper · explained in 2 episodes
• Actionability — 1× in this paper · explained in 3 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Agentic Framework — 1× in this paper · explained in 6 episodes
• Causal Discovery — 1× in this paper · explained in 2 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Decision Trees — 1× in this paper
• Embeddings — 1× in this paper · explained in 2 episodes
• F1 Score — 1× in this paper · explained in 3 episodes
• Feature Selection — 1× in this paper · explained in 4 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Hallucination — 1× in this paper · explained in 4 episodes
• Iterative Refinement — 1× in this paper · explained in 3 episodes
• K Nearest Neighbour — 1× in this paper
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Pairwise Comparisons — 1× in this paper · explained in 2 episodes
• Reward Hacking — 1× in this paper · explained in 8 episodes
• Scaffolding — 1× in this paper · explained in 3 episodes
• Stochastic Gradient Descent (SGD) — 1× in this paper · explained in 5 episodes
• Transformer Architecture — 1× in this paper · explained in 2 episodes
• Verifiable Rewards — 1× in this paper · explained in 2 episodes
• While Best-of-N — 1× in this paper
• alpha — 1× in this paper · explained in 1 episode

Sources

• Phi-4 Technical Report
• gpt-oss-120b & gpt-oss-20b Model Card
• DeepSeek LLM: Scaling Open-Source Language Models with Longtermism
• Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
• Fine-Tuned 'Small' LLMs (Still) Significantly Outperform Zero-Shot Generative AI Models in Text Classification
• Towards Robust Few-Shot Text Classification Using Transformer Architectures and Dual Loss Strategies
• What Can Natural Language Processing Do for Peer Review?
• GPT-4o System Card
• Evolving Deeper LLM Thinking
• RoBERTa: A Robustly Optimized BERT Pretraining Approach
• Can LLMs Automate Fact-Checking Article Writing?
• Can LLM feedback enhance review quality? A randomized study of 20K reviews at ICLR 2025
• Text Classification in the LLM Era -- Where do we stand?
• Position: The ML Community Must Build an AI-Augmented Peer-Review Ecosystem
• Analyzing Feedback Mechanisms in AI-Generated MCQs: Insights into Readability, Lexical Properties, and Levels of Challenge
• Qwen2.5 Technical Report
• Yi: Open Foundation Models by 01.AI

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