conftrace
_
Papers
Trends
Conferences
Explore
More
Authors
Topics
Keywords
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Achievements
← Learning Types
Deep Learning
›
Learning Types
›
Controllable Generation
17 papers
Papers per year
2021: 1
1
2022: 3
3
2023: 2
2
2026: 11
11
Papers
XtraGPT: Context-Aware and Controllable Academic Paper Revision via Human-AI Collaboration
ACL 2026
ControlAudio: Tackling Text-Guided, Timing-Indicated and Intelligible Audio Generation via Progressive Diffusion Modeling
ACL 2026
Diff4TST: Masked Diffusion Language Model for Text Style Transfer
ACL 2026
SegTune: Structured and Fine-Grained Control for Song Generation
ACL 2026
Adaptive Planning for Multi-Attribute Controllable Summarization with Monte Carlo Tree Search
ACL 2026
FineSteer: A Unified Framework for Fine-Grained Inference-Time Steering in Large Language Models
ACL 2026
Compositional Steering of Large Language Models with Steering Tokens
ACL 2026
How Controllable Are Large Language Models? A Unified Evaluation across Behavioral Granularities
ACL 2026
HiddenGuard: Fine-Grained Safe Generation with Specialized Representation Router
ACL 2026
From Fluent to Useful: Generative AI That Models Purpose, Audience, and Presenter for Scientific Communication
ACL 2026
Continuous Context Sampling Allows Extending Diversity Boundaries of Large Language Models
ACL 2026
Controllable Text Generation via Probability Density Estimation in the Latent Space
ACL 2023
Harnessing Black-Box Control to Boost Commonsense in LM’s Generation
EMNLP 2023
Stylistic Response Generation by Controlling Personality Traits and Intent
ACL 2022
(Psycho-)Linguistic Features Meet Transformer Models for Improved Explainable and Controllable Text Simplification
EMNLP 2022
Lexically Constrained Decoding with Edit Operation Prediction for Controllable Text Simplification
EMNLP 2022
Controllable Neural Dialogue Summarization with Personal Named Entity Planning
EMNLP 2021
<
1
>