Awesome Large Language Models
π
Papers
π§
Topics
π₯
Trending
πΊοΈ
Map
π
Leaderboards
π
Learn
π€
Ask AI
β―
More
π₯
Authors
π
Reading Packs
π
Datasets
π οΈ
Tools
π°
News
π
Blogs
βοΈ
Newsletter
π―
Research Radar
π
Saved
+ Add Paper
βΎ
β
β all topics
overview
parallel
loadingβ¦
π€
Ask AI
Awesome parallel β curated papers, datasets & benchmarks Β· Awesome Large Language Models
β all topics
overview
parallel
21 papers tagged parallel β re-sort below
Papers
π₯ Trending (default)
π Most cited
π Newest first
π€ A β Z by title
21 papers Β· trending (default)
numbers = π₯ heat
Stop the Flip-Flop: Context-Preserving Verification for Fast Revocable Diffusion Decoding
(2026)
Yanzheng Xiang et al.
1.94
HiMAP-Travel: Hierarchical Multi-Agent Planning for Long-Horizon Constrained Travel
(2026)
The Viet Bui et al.
1.94
Web2BigTable: A Bi-Level Multi-Agent LLM System for Internet-Scale Information Search and Extraction
(2026)
Yuxuan Huang et al.
1.94
ReflectDrive-2: Reinforcement-Learning-Aligned Self-Editing for Discrete Diffusion Driving
(2026)
Huimin Wang et al.
1.89
Evaluating Temporal Semantic Caching and Workflow Optimization in Agentic Plan-Execute Pipelines
(2026)
Alimurtaza Mustafa Merchant et al.
1.89
LACUNA: Safe Agents as Recursive Program Holes
(2026)
Yaoyu Zhao et al.
1.89
Privasis: Synthesizing the Largest "Public" Private Dataset from Scratch
(2026)
Hyunwoo Kim et al.
1.72
Statistical Estimation of Adversarial Risk in Large Language Models under Best-of-N Sampling
(2026)
Mingqian Feng et al.
1.67
APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding
(2025)
Xinyu Yang et al.
1.28
DINGO: Constrained Inference for Diffusion LLMs
(2025)
Tarun Suresh et al.
1.28
CogVLA: Cognition-Aligned Vision-Language-Action Model via Instruction-Driven Routing & Sparsification
(2025)
Wei Li et al.
1.28
AU-Harness: An Open-Source Toolkit for Holistic Evaluation of Audio LLMs
(2025)
Sidharth Surapaneni et al.
1.28
The Sequential Edge: Inverse-Entropy Voting Beats Parallel Self-Consistency at Matched Compute
(2025)
Aman Sharma et al.
1.28
SPARK: Stepwise Process-Aware Rewards for Reference-Free Reinforcement Learning
(2025)
Salman Rahman et al.
1.28
Scaling Laws for Code: Every Programming Language Matters
(2025)
Jian Yang et al.
1.28
Dream-VL & Dream-VLA: Open Vision-Language and Vision-Language-Action Models with Diffusion Language Model Backbone
(2025)
Jiacheng Ye et al.
1.28
Fast Chain-of-Thought: A Glance of Future from Parallel Decoding Leads to Answers Faster
(2023)
Hongxuan Zhang et al.
β
Transformer Layers as Painters
(2024)
Qi Sun et al.
β
Eliminating Oversaturation and Artifacts of High Guidance Scales in Diffusion Models
(2024)
Seyedmorteza Sadat et al.
β
MV-Adapter: Multi-view Consistent Image Generation Made Easy
(2024)
Zehuan Huang et al.
β
Gated Delta Networks: Improving Mamba2 with Delta Rule
(2024)
Songlin Yang et al.
β