Cover Image

Preconditioned Test-Time Adaptation for Out-of-Distribution Debiasing in Narrative Generation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Shen, Hanwen, Ying, Ting, Lu, Jiajie, Wang, Shanshan
Format:	Preprint
Published:	2026
Subjects:	Computation and Language Artificial Intelligence Computers and Society
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

DeCAP: Context-Adaptive Prompt Generation for Debiasing Zero-shot Question Answering in Large Language Models
by: Bae, Suyoung, et al.
Published: (2025)

On the Effectiveness and Generalization of Race Representations for Debiasing High-Stakes Decisions
by: Nguyen, Dang, et al.
Published: (2025)

Beyond Pairwise Comparisons: A Distributional Test of Distinctiveness for Machine-Generated Works in Intellectual Property Law
by: Mukherjee, Anirban, et al.
Published: (2026)

Measuring Information Distortion in Hierarchical Ultra long Novel Reconstruction:The Optimal Expansion Ratio
by: Shen, Hanwen, et al.
Published: (2025)

InsideOut: Measuring and Mitigating Insider-Outsider Bias in Interview Script Generation
by: Wan, Yixin, et al.
Published: (2025)

A Multi-LLM Debiasing Framework
by: Owens, Deonna M., et al.
Published: (2024)

MirrorStories: Reflecting Diversity through Personalized Narrative Generation with Large Language Models
by: Yunusov, Sarfaroz, et al.
Published: (2024)

Science Out of Its Ivory Tower: Improving Accessibility with Reinforcement Learning
by: Wang, Haining, et al.
Published: (2024)

Raising the Bar: Investigating the Values of Large Language Models via Generative Evolving Testing
by: Jiang, Han, et al.
Published: (2024)

From Noise to Signal to Selbstzweck: Reframing Human Label Variation in the Era of Post-training in NLP
by: Xu, Shanshan, et al.
Published: (2025)

Cognitive Chain-of-Thought (CoCoT): Structured Multimodal Reasoning about Social Situations
by: Park, Eunkyu, et al.
Published: (2025)

LLM-Assisted Content Conditional Debiasing for Fair Text Embedding
by: Deng, Wenlong, et al.
Published: (2024)

SHIELD: Evaluation and Defense Strategies for Copyright Compliance in LLM Text Generation
by: Liu, Xiaoze, et al.
Published: (2024)

BiasEdit: Debiasing Stereotyped Language Models via Model Editing
by: Xu, Xin, et al.
Published: (2025)

Rethinking Test-Time Scaling for Medical AI: Model and Task-Aware Strategies for LLMs and VLMs
by: Oh, Gyutaek, et al.
Published: (2025)

Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes
by: Gallegos, Isabel O., et al.
Published: (2024)

AXOLOTL: Fairness through Assisted Self-Debiasing of Large Language Model Outputs
by: Ebrahimi, Sana, et al.
Published: (2024)

Wait! There's a Way Out: A Decision Mechanism for Forecasting Conversational Derailment
by: Kim, Laerdon, et al.
Published: (2026)

Computational Phenomenology of Temporal Experience in Autism: Quantifying the Emotional and Narrative Characteristics of Lived Unpredictability
by: Dudzic, Kacper, et al.
Published: (2026)

A Close Reading Approach to Gender Narrative Biases in AI-Generated Stories
by: Raffini, Daniel, et al.
Published: (2025)

Metamorpheus: Interactive, Affective, and Creative Dream Narration Through Metaphorical Visual Storytelling
by: Wan, Qian, et al.
Published: (2024)

Developmental trajectories of decision making and affective dynamics in large language models
by: Wang, Zhihao, et al.
Published: (2025)

Narrative over Numbers: The Identifiable Victim Effect and its Amplification Under Alignment and Reasoning in Large Language Models
by: Raiyan, Syed Rifat
Published: (2026)

Planning Beyond Text: Graph-based Reasoning for Complex Narrative Generation
by: Gu, Hanwen, et al.
Published: (2026)

Responsible AI for Test Equity and Quality: The Duolingo English Test as a Case Study
by: Burstein, Jill, et al.
Published: (2024)

Deep Value Benchmark: Measuring Whether Models Generalize Deep Values or Shallow Preferences
by: Ashkinaze, Joshua, et al.
Published: (2025)

REC-CBM: Rubric-Aware Error-Correction Concept Bottleneck Models for Trustworthy Open-Ended Grading
by: Zhao, Chengshuai, et al.
Published: (2026)

From General Reasoning to Domain Expertise: Uncovering the Limits of Generalization in Large Language Models
by: Alsagheer, Dana, et al.
Published: (2025)

Causal Stories from Sensor Traces: Auditing Epistemic Overreach in LLM-Generated Personal Sensing Explanations
by: Zhu, Shanshan, et al.
Published: (2026)

Text Corpora as Concept Fields: Black-Box Hallucination and Novelty Measurement
by: Kersting, Nicholas S., et al.
Published: (2026)

In-Situ Behavioral Evaluation for LLM Fairness, Not Standardized-Test Scores
by: Tang, Zeyu, et al.
Published: (2026)

MCTSr-Zero: Self-Reflective Psychological Counseling Dialogues Generation via Principles and Adaptive Exploration
by: Lu, Hao, et al.
Published: (2025)

STOP! Benchmarking Large Language Models with Sensitivity Testing on Offensive Progressions
by: Morabito, Robert, et al.
Published: (2024)

Attributions toward Artificial Agents in a modified Moral Turing Test
by: Aharoni, Eyal, et al.
Published: (2024)

Multi-Agent Comedy Club: Investigating Community Discussion Effects on LLM Humor Generation
by: Hong, Shiwei, et al.
Published: (2026)

ML-EAT: A Multilevel Embedding Association Test for Interpretable and Transparent Social Science
by: Wolfe, Robert, et al.
Published: (2024)

Out-of-distribution Evidence-aware Fake News Detection via Dual Adversarial Debiasing
by: Liu, Qiang, et al.
Published: (2023)

Societal Impacts Research Requires Benchmarks for Creative Composition Tasks
by: Shen, Judy Hanwen, et al.
Published: (2025)

Towards Next-Generation Medical Agent: How o1 is Reshaping Decision-Making in Medical Scenarios
by: Xu, Shaochen, et al.
Published: (2024)

Interactive Narrative Analytics: Bridging Computational Narrative Extraction and Human Sensemaking
by: Keith, Brian
Published: (2026)