EPIC: Efficient and Parallel Inference under CFG Constraints for Diffusion Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Jin, Hyundong, Han, Yo-Sub |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
NCO: A Versatile Plug-in for Handling Negative Constraints in Decoding
by: Jin, Hyundong, et al.
Published: (2026)
by: Jin, Hyundong, et al.
Published: (2026)
Steering Language Models Before They Speak: Logit-Level Interventions
by: An, Hyeseon, et al.
Published: (2026)
by: An, Hyeseon, et al.
Published: (2026)
DLM-SWAI: Steering Diffusion Language Models Before They Unmask
by: An, Hyeseon, et al.
Published: (2026)
by: An, Hyeseon, et al.
Published: (2026)
RegexPSPACE: A Benchmark for Evaluating LLM Reasoning on PSPACE-complete Regex Problems
by: Jin, Hyundong, et al.
Published: (2025)
by: Jin, Hyundong, et al.
Published: (2025)
From Intuition to Calibrated Judgment: A Rubric-Based Expert-Panel Study of Human Detection of LLM-Generated Korean Text
by: Park, Shinwoo, et al.
Published: (2026)
by: Park, Shinwoo, et al.
Published: (2026)
Linguistics-Aware Non-Distortionary LLM Watermarking
by: Park, Shinwoo, et al.
Published: (2026)
by: Park, Shinwoo, et al.
Published: (2026)
A Linguistics-Aware LLM Watermarking via Syntactic Predictability
by: Park, Shinwoo, et al.
Published: (2025)
by: Park, Shinwoo, et al.
Published: (2025)
Obfuscation Rules for Detecting and Detoxifying Korean Toxicity
by: Lee, Yejin, et al.
Published: (2025)
by: Lee, Yejin, et al.
Published: (2025)
KatFishNet: Detecting LLM-Generated Korean Text through Linguistic Feature Analysis
by: Park, Shinwoo, et al.
Published: (2025)
by: Park, Shinwoo, et al.
Published: (2025)
How Does the Thinking Step Influence Model Safety? An Entropy-based Safety Reminder for LRMs
by: Kim, Su-Hyeon, et al.
Published: (2026)
by: Kim, Su-Hyeon, et al.
Published: (2026)
TRAPDOC: Deceiving LLM Users by Injecting Imperceptible Phantom Tokens into Documents
by: Jin, Hyundong, et al.
Published: (2025)
by: Jin, Hyundong, et al.
Published: (2025)
RV-HATE: Reinforced Multi-Module Voting for Implicit Hate Speech Detection
by: Lee, Yejin, et al.
Published: (2025)
by: Lee, Yejin, et al.
Published: (2025)
CRaFT: Circuit-Guided Refusal Feature Selection via Cross-Layer Transcoders
by: Kim, Su-Hyeon, et al.
Published: (2026)
by: Kim, Su-Hyeon, et al.
Published: (2026)
Detection of LLM-Paraphrased Code and Identification of the Responsible LLM Using Coding Style Features
by: Park, Shinwoo, et al.
Published: (2025)
by: Park, Shinwoo, et al.
Published: (2025)
STAB: Specification-driven Testing for Algorithmic Bottlenecks
by: Lim, Soohan, et al.
Published: (2026)
by: Lim, Soohan, et al.
Published: (2026)
dInfer: An Efficient Inference Framework for Diffusion Language Models
by: Ma, Yuxin, et al.
Published: (2025)
by: Ma, Yuxin, et al.
Published: (2025)
Adaptive Steering and Remasking for Safe Generation in Diffusion Language Models
by: Lee, Yejin, et al.
Published: (2026)
by: Lee, Yejin, et al.
Published: (2026)
AmpleHate: Amplifying the Attention for Versatile Implicit Hate Detection
by: Lee, Yejin, et al.
Published: (2025)
by: Lee, Yejin, et al.
Published: (2025)
Plato: Plan to Efficiently Decode for Large Language Model Inference
by: Jin, Shuowei, et al.
Published: (2024)
by: Jin, Shuowei, et al.
Published: (2024)
Cerberus: Efficient Inference with Adaptive Parallel Decoding and Sequential Knowledge Enhancement
by: Liu, Yuxuan, et al.
Published: (2024)
by: Liu, Yuxuan, et al.
Published: (2024)
Why Diffusion Language Models Struggle with Truly Parallel (Non-Autoregressive) Decoding?
by: Li, Pengxiang, et al.
Published: (2026)
by: Li, Pengxiang, et al.
Published: (2026)
Diffusion Language Model Inference with Monte Carlo Tree Search
by: Huang, Zheng, et al.
Published: (2025)
by: Huang, Zheng, et al.
Published: (2025)
A Survey on Efficient Inference for Large Language Models
by: Zhou, Zixuan, et al.
Published: (2024)
by: Zhou, Zixuan, et al.
Published: (2024)
Locally Coherent Parallel Decoding in Diffusion Language Models
by: Hersche, Michael, et al.
Published: (2026)
by: Hersche, Michael, et al.
Published: (2026)
CreditDecoding: Accelerating Parallel Decoding in Diffusion Large Language Models with Trace Credit
by: Wang, Kangyu, et al.
Published: (2025)
by: Wang, Kangyu, et al.
Published: (2025)
Repairing Regex Vulnerabilities via Localization-Guided Instructions
by: Sung, Sicheol, et al.
Published: (2025)
by: Sung, Sicheol, et al.
Published: (2025)
Contrastive CFG: Improving CFG in Diffusion Models by Contrasting Positive and Negative Concepts
by: Chang, Jinho, et al.
Published: (2024)
by: Chang, Jinho, et al.
Published: (2024)
Dynamic Compressing Prompts for Efficient Inference of Large Language Models
by: Hu, Jinwu, et al.
Published: (2025)
by: Hu, Jinwu, et al.
Published: (2025)
AhaKV: Adaptive Holistic Attention-Driven KV Cache Eviction for Efficient Inference of Large Language Models
by: Gu, Yifeng, et al.
Published: (2025)
by: Gu, Yifeng, et al.
Published: (2025)
Scaling Inference-Efficient Language Models
by: Bian, Song, et al.
Published: (2025)
by: Bian, Song, et al.
Published: (2025)
ECO: Enhanced Code Optimization via Performance-Aware Prompting for Code-LLMs
by: Kim, Su-Hyeon, et al.
Published: (2025)
by: Kim, Su-Hyeon, et al.
Published: (2025)
The Linear Representation Hypothesis and the Geometry of Large Language Models
by: Park, Kiho, et al.
Published: (2023)
by: Park, Kiho, et al.
Published: (2023)
Learning Adaptive Parallel Reasoning with Language Models
by: Pan, Jiayi, et al.
Published: (2025)
by: Pan, Jiayi, et al.
Published: (2025)
Falcon: Faster and Parallel Inference of Large Language Models through Enhanced Semi-Autoregressive Drafting and Custom-Designed Decoding Tree
by: Gao, Xiangxiang, et al.
Published: (2024)
by: Gao, Xiangxiang, et al.
Published: (2024)
An Empirical Study on Cross-lingual Vocabulary Adaptation for Efficient Language Model Inference
by: Yamaguchi, Atsuki, et al.
Published: (2024)
by: Yamaguchi, Atsuki, et al.
Published: (2024)
Self-Selected Attention Span for Accelerating Large Language Model Inference
by: Jin, Tian, et al.
Published: (2024)
by: Jin, Tian, et al.
Published: (2024)
DIP: Dynamic In-Context Planner For Diffusion Language Models
by: Li, Yang, et al.
Published: (2026)
by: Li, Yang, et al.
Published: (2026)
ReFusion: A Diffusion Large Language Model with Parallel Autoregressive Decoding
by: Li, Jia-Nan, et al.
Published: (2025)
by: Li, Jia-Nan, et al.
Published: (2025)
ThreadWeaver: Adaptive Threading for Efficient Parallel Reasoning in Language Models
by: Lian, Long, et al.
Published: (2025)
by: Lian, Long, et al.
Published: (2025)
Building Efficient Universal Classifiers with Natural Language Inference
by: Laurer, Moritz, et al.
Published: (2023)
by: Laurer, Moritz, et al.
Published: (2023)
Similar Items
-
NCO: A Versatile Plug-in for Handling Negative Constraints in Decoding
by: Jin, Hyundong, et al.
Published: (2026) -
Steering Language Models Before They Speak: Logit-Level Interventions
by: An, Hyeseon, et al.
Published: (2026) -
DLM-SWAI: Steering Diffusion Language Models Before They Unmask
by: An, Hyeseon, et al.
Published: (2026) -
RegexPSPACE: A Benchmark for Evaluating LLM Reasoning on PSPACE-complete Regex Problems
by: Jin, Hyundong, et al.
Published: (2025) -
From Intuition to Calibrated Judgment: A Rubric-Based Expert-Panel Study of Human Detection of LLM-Generated Korean Text
by: Park, Shinwoo, et al.
Published: (2026)