PARALLELPROMPT: Extracting Parallelism from Large Language Model Queries
Fuente:
arXiv
Guardado en:
| Autores principales: | Kolawole, Steven, Santhanam, Keshav, Smith, Virginia, Thaker, Pratiksha |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Membership Inference Attacks for Unseen Classes
por: Thaker, Pratiksha, et al.
Publicado: (2025)
por: Thaker, Pratiksha, et al.
Publicado: (2025)
On the Benefits of Public Representations for Private Transfer Learning under Distribution Shift
por: Thaker, Pratiksha, et al.
Publicado: (2023)
por: Thaker, Pratiksha, et al.
Publicado: (2023)
BLUR: A Benchmark for LLM Unlearning Robust to Forget-Retain Overlap
por: Hu, Shengyuan, et al.
Publicado: (2025)
por: Hu, Shengyuan, et al.
Publicado: (2025)
Generate-then-Verify: Reconstructing Data from Limited Published Statistics
por: Liu, Terrance, et al.
Publicado: (2025)
por: Liu, Terrance, et al.
Publicado: (2025)
Lower Bounds for Public-Private Learning under Distribution Shift
por: Setlur, Amrith, et al.
Publicado: (2025)
por: Setlur, Amrith, et al.
Publicado: (2025)
Agreement-Based Cascading for Efficient Inference
por: Kolawole, Steven, et al.
Publicado: (2024)
por: Kolawole, Steven, et al.
Publicado: (2024)
Enhancing One-run Privacy Auditing with Quantile Regression-Based Membership Inference
por: Liu, Terrance, et al.
Publicado: (2025)
por: Liu, Terrance, et al.
Publicado: (2025)
What Happens When Small Is Made Smaller? Exploring the Impact of Compression on Small Data Pretrained Language Models
por: Awobade, Busayo, et al.
Publicado: (2024)
por: Awobade, Busayo, et al.
Publicado: (2024)
Everybody Prune Now: Structured Pruning of LLMs with only Forward Passes
por: Kolawole, Steven, et al.
Publicado: (2024)
por: Kolawole, Steven, et al.
Publicado: (2024)
HyperQuery: Beyond Binary Link Prediction
por: Maleki, Sepideh, et al.
Publicado: (2025)
por: Maleki, Sepideh, et al.
Publicado: (2025)
Guardrail Baselines for Unlearning in LLMs
por: Thaker, Pratiksha, et al.
Publicado: (2024)
por: Thaker, Pratiksha, et al.
Publicado: (2024)
Extracting Spatiotemporal Data from Gradients with Large Language Models
por: Zheng, Lele, et al.
Publicado: (2024)
por: Zheng, Lele, et al.
Publicado: (2024)
LAMP: Extracting Local Decision Surfaces From Large Language Models
por: Chen, Ryan, et al.
Publicado: (2025)
por: Chen, Ryan, et al.
Publicado: (2025)
Extracting Interpretable Task-Specific Circuits from Large Language Models for Faster Inference
por: García-Carrasco, Jorge, et al.
Publicado: (2024)
por: García-Carrasco, Jorge, et al.
Publicado: (2024)
GeoLLM: Extracting Geospatial Knowledge from Large Language Models
por: Manvi, Rohin, et al.
Publicado: (2023)
por: Manvi, Rohin, et al.
Publicado: (2023)
From Bits to Rounds: Parallel Decoding with Exploration for Diffusion Language Models
por: Fu, Hengyu, et al.
Publicado: (2025)
por: Fu, Hengyu, et al.
Publicado: (2025)
QuickLLaMA: Query-aware Inference Acceleration for Large Language Models
por: Li, Jingyao, et al.
Publicado: (2024)
por: Li, Jingyao, et al.
Publicado: (2024)
Jailbreaking Black Box Large Language Models in Twenty Queries
por: Chao, Patrick, et al.
Publicado: (2023)
por: Chao, Patrick, et al.
Publicado: (2023)
Extracting Moore Machines from Transformers using Queries and Counterexamples
por: Adriaensen, Rik, et al.
Publicado: (2024)
por: Adriaensen, Rik, et al.
Publicado: (2024)
Extracting Important Tokens in E-Commerce Queries with a Tag Interaction-Aware Transformer Model
por: Kabir, Md. Ahsanul, et al.
Publicado: (2025)
por: Kabir, Md. Ahsanul, et al.
Publicado: (2025)
Extracting Heuristics from Large Language Models for Reward Shaping in Reinforcement Learning
por: Bhambri, Siddhant, et al.
Publicado: (2024)
por: Bhambri, Siddhant, et al.
Publicado: (2024)
PaCE: Parsimonious Concept Engineering for Large Language Models
por: Luo, Jinqi, et al.
Publicado: (2024)
por: Luo, Jinqi, et al.
Publicado: (2024)
MARLIN: Mixed-Precision Auto-Regressive Parallel Inference on Large Language Models
por: Frantar, Elias, et al.
Publicado: (2024)
por: Frantar, Elias, et al.
Publicado: (2024)
AMGPT: a Large Language Model for Contextual Querying in Additive Manufacturing
por: Chandrasekhar, Achuth, et al.
Publicado: (2024)
por: Chandrasekhar, Achuth, et al.
Publicado: (2024)
Language Modeling with Learned Meta-Tokens
por: Shah, Alok N., et al.
Publicado: (2025)
por: Shah, Alok N., et al.
Publicado: (2025)
Visual-Redundancy-Controlled Parallel Decoding for Diffusion-Based Multimodal Large Language Models
por: Yuan, Yulin, et al.
Publicado: (2026)
por: Yuan, Yulin, et al.
Publicado: (2026)
Heterogeneous Parallelism for Multimodal Large Language Model Training
por: Karnati, Yashaswi, et al.
Publicado: (2026)
por: Karnati, Yashaswi, et al.
Publicado: (2026)
OptLLM: Optimal Assignment of Queries to Large Language Models
por: Liu, Yueyue, et al.
Publicado: (2024)
por: Liu, Yueyue, et al.
Publicado: (2024)
Position: LLM Unlearning Benchmarks are Weak Measures of Progress
por: Thaker, Pratiksha, et al.
Publicado: (2024)
por: Thaker, Pratiksha, et al.
Publicado: (2024)
Model Inversion Attacks on Llama 3: Extracting PII from Large Language Models
por: Sivashanmugam, Sathesh P.
Publicado: (2025)
por: Sivashanmugam, Sathesh P.
Publicado: (2025)
Extracting Document Relations from Search Corpus by Marginalizing over User Queries
por: Iwamoto, Yuki, et al.
Publicado: (2025)
por: Iwamoto, Yuki, et al.
Publicado: (2025)
Query Performance Explanation through Large Language Model for HTAP Systems
por: Xiu, Haibo, et al.
Publicado: (2024)
por: Xiu, Haibo, et al.
Publicado: (2024)
Latent Principle Discovery for Language Model Self-Improvement
por: Ramji, Keshav, et al.
Publicado: (2025)
por: Ramji, Keshav, et al.
Publicado: (2025)
Detecting Token-Level Hallucinations Using Variance Signals: A Reference-Free Approach
por: Kumar, Keshav
Publicado: (2025)
por: Kumar, Keshav
Publicado: (2025)
Dynamic Retail Pricing via Q-Learning -- A Reinforcement Learning Framework for Enhanced Revenue Management
por: Apte, Mohit, et al.
Publicado: (2024)
por: Apte, Mohit, et al.
Publicado: (2024)
Matryoshka Query Transformer for Large Vision-Language Models
por: Hu, Wenbo, et al.
Publicado: (2024)
por: Hu, Wenbo, et al.
Publicado: (2024)
Comparative Performance Evaluation of Large Language Models for Extracting Molecular Interactions and Pathway Knowledge
por: Park, Gilchan, et al.
Publicado: (2023)
por: Park, Gilchan, et al.
Publicado: (2023)
Ontology-Guided Query Expansion for Biomedical Document Retrieval using Large Language Models
por: Nazi, Zabir Al, et al.
Publicado: (2025)
por: Nazi, Zabir Al, et al.
Publicado: (2025)
GQLA: Group-Query Latent Attention for Hardware-Adaptive Large Language Model Decoding
por: Meng, Fanxu
Publicado: (2026)
por: Meng, Fanxu
Publicado: (2026)
Unlearning or Obfuscating? Jogging the Memory of Unlearned LLMs via Benign Relearning
por: Hu, Shengyuan, et al.
Publicado: (2024)
por: Hu, Shengyuan, et al.
Publicado: (2024)
Ejemplares similares
-
Membership Inference Attacks for Unseen Classes
por: Thaker, Pratiksha, et al.
Publicado: (2025) -
On the Benefits of Public Representations for Private Transfer Learning under Distribution Shift
por: Thaker, Pratiksha, et al.
Publicado: (2023) -
BLUR: A Benchmark for LLM Unlearning Robust to Forget-Retain Overlap
por: Hu, Shengyuan, et al.
Publicado: (2025) -
Generate-then-Verify: Reconstructing Data from Limited Published Statistics
por: Liu, Terrance, et al.
Publicado: (2025) -
Lower Bounds for Public-Private Learning under Distribution Shift
por: Setlur, Amrith, et al.
Publicado: (2025)