mlsanityData to 7 Oct 2026

LLM Review: Enhancing Creative Writing via Blind Peer Review Feedback

arXiv 2601.08003 ↗First posted 12 Jan 2026cs.CL cs.AI cs.MAcited by 4

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Abstract (arXiv)

Large Language Models (LLMs) often struggle with creative generation, and multi-agent frameworks that improve reasoning through interaction can paradoxically hinder creativity by inducing content homogenization. We introduce LLM Review, a peer-review-inspired framework implementing Blind Peer Review: agents exchange targeted feedback while revising independently, preserving divergent creative trajectories. To enable rigorous evaluation, we propose SciFi-100, a science fiction writing dataset with a unified framework combining LLM-as-a-judge scoring, human annotation, and rule-based novelty metrics. Experiments demonstrate that LLM Review consistently outperforms multi-agent baselines, and smaller models with our framework can surpass larger single-agent models, suggesting interaction structure may substitute for model scale.

Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 25 of its 60 references that are in the map. First posted on arXiv 12 Jan 2026.

Builds on

25 of 60 references.

References · 25

  1. 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,049
  2. 2022ReAct: Synergizing Reasoning and Acting in Language Modelscited by 8,355
  3. 2023Improving Factuality and Reasoning in Language Models through Multiagent Debatecited by 1,739
  4. 2019CTRL: A Conditional Transformer Language Model for Controllable Generationcited by 754
  5. 2023ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debatecited by 724
  6. 2024LLM Evaluators Recognize and Favor Their Own Generationscited by 651
  7. 2025Multi-Agent Collaboration Mechanisms: A Survey of LLMscited by 424
  8. 2023ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMscited by 297
  9. 2024Two Tales of Persona in LLMs: A Survey of Role-Playing and Personalizationcited by 203
  10. 2024A Survey on Recent Advances in LLM-Based Multi-turn Dialogue Systemscited by 170
  11. 2023Art or Artifice? Large Language Models and the False Promise of Creativitycited by 168
  12. 2024Homogenization Effects of Large Language Models on Human Creative Ideationcited by 127
13 more
  1. 2024A Comprehensive Survey on Process-Oriented Automatic Text Summarization with Exploration of LLM-Based Methodscited by 101
  2. 2023A Confederacy of Models: a Comprehensive Evaluation of LLMs on Creative Writingcited by 98
  3. 2020Trading Off Diversity and Quality in Natural Language Generationcited by 94
  4. 2024LLM Discussion: Enhancing the Creativity of Large Language Models via Discussion Framework and Role-Playcited by 65
  5. 2022Putting GPT-3's Creativity to the (Alternative Uses) Testcited by 62
  6. 2024MegaAgent: A Large-Scale Autonomous LLM-based Multi-Agent System Without Predefined SOPscited by 45
  7. 2025Modifying Large Language Model Post-Training for Diverse Creative Writingcited by 39
  8. 2024Creativity Has Left the Chat: The Price of Debiasing Language Modelscited by 29
  9. 2025Automated Creativity Evaluation for Large Language Models: A Reference-Based Approachcited by 20
  10. 2026Grading Scale Impact on LLM-as-a-Judge: Human-LLM Alignment Is Highest on 0-5 Grading Scalecited by 17
  11. 2025Igniting Creative Writing in Small Language Models: LLM-as-a-Judge versus Multi-Agent Refined Rewardscited by 11
  12. 2025Top-H Decoding: Adapting the Creativity and Coherence with Bounded Entropy in Text Generationcited by 8
  13. 2025Multi-Novelty: Improve the Diversity and Novelty of Contents Generated by Large Language Models via inference-time Multi-Views Brainstormingcited by 4

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2026: 4.

4 papers.

  1. 2026MedConclusion: A Benchmark for Biomedical Conclusion Generation from Structured Abstractscited by 1
  2. 2026Do Emotions in Prompts Matter? Effects of Emotional Framing on Large Language Modelscited by 0
  3. 2026From Coarse to Fine: Benchmarking and Reward Modeling for Writing-Centric Generation Taskscited by 0
  4. 2026Evaluating Feedback Focus and Pedagogical Adaptivity in LLM-Generated Feedback on Student Writingcited by 0