Cover Image

Clip Your Sequences Fairly: Enforcing Length Fairness for Sequence-Level RL

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Mao, Hanyi, Xiao, Quanjia, Pang, Lei, Liu, Haixiao
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

In2x at WMT25 Translation Task
by: Pang, Lei, et al.
Published: (2025)

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs
by: Wang, Yinong Oliver, et al.
Published: (2025)

Principled RL for Diffusion LLMs Emerges from a Sequence-Level Perspective
by: Ou, Jingyang, et al.
Published: (2025)

Provable Length Generalization in Sequence Prediction via Spectral Filtering
by: Marsden, Annie, et al.
Published: (2024)

DNAZEN: Enhanced Gene Sequence Representations via Mixed Granularities of Coding Units
by: Mao, Lei, et al.
Published: (2025)

Multiscale Byte Language Models -- A Hierarchical Architecture for Causal Million-Length Sequence Modeling
by: Egli, Eric, et al.
Published: (2025)

Sequence-to-Sequence Spanish Pre-trained Language Models
by: Araujo, Vladimir, et al.
Published: (2023)

The Fair Language Model Paradox
by: Pinto, Andrea, et al.
Published: (2024)

Group Sequence Policy Optimization
by: Zheng, Chujie, et al.
Published: (2025)

Parameter Efficient Diverse Paraphrase Generation Using Sequence-Level Knowledge Distillation
by: Jayawardena, Lasal, et al.
Published: (2024)

On the Optimal Reasoning Length for RL-Trained Language Models
by: Nohara, Daisuke, et al.
Published: (2026)

Prompting Fairness: Integrating Causality to Debias Large Language Models
by: Li, Jingling, et al.
Published: (2024)

Fairness Definitions in Language Models Explained
by: Yin, Zhipeng, et al.
Published: (2024)

Fairness of ChatGPT
by: Li, Yunqi, et al.
Published: (2023)

Causal Manifold Fairness: Enforcing Geometric Invariance in Representation Learning
by: Rathore, Vidhi
Published: (2026)

From Word Sequences to Behavioral Sequences: Adapting Modeling and Evaluation Paradigms for Longitudinal NLP
by: Ganesan, Adithya V, et al.
Published: (2026)

Whose Preferences? Differences in Fairness Preferences and Their Impact on the Fairness of AI Utilizing Human Feedback
by: Lerner, Emilia Agis, et al.
Published: (2024)

Meta-DiffuB: A Contextualized Sequence-to-Sequence Text Diffusion Model with Meta-Exploration
by: Chuang, Yun-Yen, et al.
Published: (2024)

Stabilizing Off-Policy Training for Long-Horizon LLM Agent via Turn-Level Importance Sampling and Clipping-Triggered Normalization
by: Li, Chenliang, et al.
Published: (2025)

Sequences of Logits Reveal the Low Rank Structure of Language Models
by: Golowich, Noah, et al.
Published: (2025)

Fair In-Context Learning via Latent Concept Variables
by: Bhaila, Karuna, et al.
Published: (2024)

LangFair: A Python Package for Assessing Bias and Fairness in Large Language Model Use Cases
by: Bouchard, Dylan, et al.
Published: (2025)

FairFlow: Mitigating Dataset Biases through Undecided Learning
by: Cheng, Jiali, et al.
Published: (2025)

Robustly Improving LLM Fairness in Realistic Settings via Interpretability
by: Karvonen, Adam, et al.
Published: (2025)

Anterior's Approach to Fairness Evaluation of Automated Prior Authorization System
by: Selvaraj, Sai P., et al.
Published: (2026)

DCPO: Dynamic Clipping Policy Optimization
by: Yang, Shihui, et al.
Published: (2025)

Baichuan2-Sum: Instruction Finetune Baichuan2-7B Model for Dialogue Summarization
by: Xiao, Jianfei, et al.
Published: (2024)

Native Hybrid Attention for Efficient Sequence Modeling
by: Du, Jusen, et al.
Published: (2025)

In-Context Learning Dynamics with Random Binary Sequences
by: Bigelow, Eric J., et al.
Published: (2023)

HyperMLP: An Integrated Perspective for Sequence Modeling
by: Lu, Jiecheng, et al.
Published: (2026)

Sequence Shortening for Context-Aware Machine Translation
by: Mąka, Paweł, et al.
Published: (2024)

Encoding Agent Trajectories as Representations with Sequence Transformers
by: Tsiligkaridis, Athanasios, et al.
Published: (2024)

FastDiSS: Few-step Match Many-step Diffusion Language Model on Sequence-to-Sequence Generation--Full Version
by: Nguyen-Cong, Dat, et al.
Published: (2026)

Exploring Accuracy-Fairness Trade-off in Large Language Models
by: Zhang, Qingquan, et al.
Published: (2024)

Learning and Enforcing Context-Sensitive Control for LLMs
by: Albinhassan, Mohammad, et al.
Published: (2026)

How Well Can a Long Sequence Model Model Long Sequences? Comparing Architechtural Inductive Biases on Long-Context Abilities
by: Huang, Jerry
Published: (2024)

Debiasing Text Safety Classifiers through a Fairness-Aware Ensemble
by: Sturman, Olivia, et al.
Published: (2024)

Adaptive-Boundary-Clipping GRPO: Ensuring Bounded Ratios for Stable and Generalizable Training
by: Liu, Chi, et al.
Published: (2026)

Lossless Token Sequence Compression via Meta-Tokens
by: Harvill, John, et al.
Published: (2025)

MoM: Linear Sequence Modeling with Mixture-of-Memories
by: Du, Jusen, et al.
Published: (2025)