Cover Image

PoeTone: A Framework for Constrained Generation of Structured Chinese Songci with LLMs

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Qu, Zhan, Yuan, Shuzhou, Färber, Michael
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Can Hallucinations Help? Boosting LLMs for Drug Discovery
by: Yuan, Shuzhou, et al.
Published: (2025)

GraSAME: Injecting Token-Level Structural Information to Pretrained Language Models via Graph-guided Self-Attention Mechanism
by: Yuan, Shuzhou, et al.
Published: (2024)

From Monolingual to Bilingual: Investigating Language Conditioning in Large Language Models for Psycholinguistic Tasks
by: Yuan, Shuzhou, et al.
Published: (2025)

Explainable LiDAR 3D Point Cloud Segmentation and Clustering for Detecting Airplane-Generated Wind Turbulence
by: Qu, Zhan, et al.
Published: (2025)

MediEval: A Unified Medical Benchmark for Patient-Contextual and Knowledge-Grounded Reasoning in LLMs
by: Qu, Zhan, et al.
Published: (2025)

Analyzing Bias in False Refusal Behavior of Large Language Models for Hate Speech Detoxification
by: Im, Kyuri, et al.
Published: (2026)

Vital Trace: Protocol-Constrained Patient-State Reasoning for Longitudinal Clinical Trajectories
by: Qu, Zhan, et al.
Published: (2026)

The Hidden Bias: A Study on Explicit and Implicit Political Stereotypes in Large Language Models
by: Löhr, Konrad, et al.
Published: (2025)

Draft-Conditioned Constrained Decoding for Structured Generation in LLMs
by: Reddy, Avinash, et al.
Published: (2026)

Risk Horizons: Structured Hypothesis Spaces for Longitudinal Clinical Prediction
by: Qu, Zhan, et al.
Published: (2026)

X-VORTEX: Spatio-Temporal Contrastive Learning for Wake Vortex Trajectory Forecasting
by: Qu, Zhan, et al.
Published: (2026)

Why Lift so Heavy? Slimming Large Language Models by Cutting Off the Layers
by: Yuan, Shuzhou, et al.
Published: (2024)

Graph-Guided Textual Explanation Generation Framework
by: Yuan, Shuzhou, et al.
Published: (2024)

Guiding LLMs The Right Way: Fast, Non-Invasive Constrained Generation
by: Beurer-Kellner, Luca, et al.
Published: (2024)

Benchmarking Uncertainty Calibration in Large Language Model Long-Form Question Answering
by: Müller, Philip, et al.
Published: (2026)

Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery
by: Susanti, Yuni, et al.
Published: (2025)

Beyond Over-Refusal: Scenario-Based Diagnostics and Post-Hoc Mitigation for Exaggerated Refusals in LLMs
by: Yuan, Shuzhou, et al.
Published: (2025)

Lexical Tone is Hard to Quantize: Probing Discrete Speech Units in Mandarin and Yorùbá
by: Osakuade, Opeyemi, et al.
Published: (2026)

InfiniPot: Infinite Context Processing on Memory-Constrained LLMs
by: Kim, Minsoo, et al.
Published: (2024)

Rubric-Conditioned LLM Grading: Alignment, Uncertainty, and Robustness
by: Deng, Haotian, et al.
Published: (2025)

Privacy-Preserving Synthetic Review Generation with Diverse Writing Styles Using LLMs
by: Atwal, Tevin, et al.
Published: (2025)

Residual Speech Embeddings for Tone Classification: Removing Linguistic Content to Enhance Paralinguistic Analysis
by: Ahbabi, Hamdan Al, et al.
Published: (2025)

Optimizing Small Transformer-Based Language Models for Multi-Label Sentiment Analysis in Short Texts
by: Neumann, Julius, et al.
Published: (2025)

SAFT: Structure-Aware Fine-Tuning of LLMs for AMR-to-Text Generation
by: Kamel, Rafiq, et al.
Published: (2025)

CONCUR: A Framework for Continual Constrained and Unconstrained Routing
by: Chen, Peter Baile, et al.
Published: (2025)

A Controlled Study on Long Context Extension and Generalization in LLMs
by: Lu, Yi, et al.
Published: (2024)

Pruning Unsafe Tickets: A Resource-Efficient Framework for Safer and More Robust LLMs
by: Si, Wai Man, et al.
Published: (2026)

2SSP: A Two-Stage Framework for Structured Pruning of LLMs
by: Sandri, Fabrizio, et al.
Published: (2025)

Decomposed Prompting: Probing Multilingual Linguistic Structure Knowledge in Large Language Models
by: Nie, Ercong, et al.
Published: (2024)

Training LLMs for Multi-Step Tool Orchestration with Constrained Data Synthesis and Graduated Rewards
by: Jiayang, Cheng, et al.
Published: (2026)

Controllable Generation via Locally Constrained Resampling
by: Ahmed, Kareem, et al.
Published: (2024)

CoDAE: Adapting Large Language Models for Education via Chain-of-Thought Data Augmentation
by: Yuan, Shuzhou, et al.
Published: (2025)

Constrained Discrete Diffusion
by: Cardei, Michael, et al.
Published: (2025)

GNNavi: Navigating the Information Flow in Large Language Models by Graph Neural Network
by: Yuan, Shuzhou, et al.
Published: (2024)

Why is "Chicago" Predictive of Deceptive Reviews? Using LLMs to Discover Language Phenomena from Lexical Cues
by: Qu, Jiaming, et al.
Published: (2025)

Generalizing Large Language Model Usability Across Resource-Constrained
by: Tsai, Yun-Da
Published: (2025)

Structuring Radiology Reports: Challenging LLMs with Lightweight Models
by: Moll, Johannes, et al.
Published: (2025)

Optimizing LLMs for Resource-Constrained Environments: A Survey of Model Compression Techniques
by: Girija, Sanjay Surendranath, et al.
Published: (2025)

Understanding Structured Financial Data with LLMs: A Case Study on Fraud Detection
by: Tan, Xuwei, et al.
Published: (2025)

Hateful Person or Hateful Model? Investigating the Role of Personas in Hate Speech Detection by Large Language Models
by: Yuan, Shuzhou, et al.
Published: (2025)