PromptSuite: A Task-Agnostic Framework for Multi-Prompt Generation
Fuente:
arXiv
Saved in:
| Main Authors: | Habba, Eliya, Dahan, Noam, Lior, Gili, Stanovsky, Gabriel |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
ReliableEval: A Recipe for Stochastic LLM Evaluation via Method of Moments
by: Lior, Gili, et al.
Published: (2025)
by: Lior, Gili, et al.
Published: (2025)
The State and Fate of Summarization Datasets: A Survey
by: Dahan, Noam, et al.
Published: (2024)
by: Dahan, Noam, et al.
Published: (2024)
Comparing Humans and Models on a Similar Scale: Towards Cognitive Gender Bias Evaluation in Coreference Resolution
by: Lior, Gili, et al.
Published: (2023)
by: Lior, Gili, et al.
Published: (2023)
Beyond Benchmarks: On The False Promise of AI Regulation
by: Stanovsky, Gabriel, et al.
Published: (2025)
by: Stanovsky, Gabriel, et al.
Published: (2025)
From Feelings to Metrics: Understanding and Formalizing How Users Vibe-Test LLMs
by: Itzhak, Itay, et al.
Published: (2026)
by: Itzhak, Itay, et al.
Published: (2026)
Leveraging Digitized Newspapers to Collect Summarization Data in Low-Resource Languages
by: Dahan, Noam, et al.
Published: (2025)
by: Dahan, Noam, et al.
Published: (2025)
Leveraging Collection-Wide Similarities for Unsupervised Document Structure Extraction
by: Lior, Gili, et al.
Published: (2024)
by: Lior, Gili, et al.
Published: (2024)
SEAM: A Stochastic Benchmark for Multi-Document Tasks
by: Lior, Gili, et al.
Published: (2024)
by: Lior, Gili, et al.
Published: (2024)
ScheMatiQ: From Research Question to Structured Data through Interactive Schema Discovery
by: Levy, Shahar, et al.
Published: (2026)
by: Levy, Shahar, et al.
Published: (2026)
Comparing the Framing Effect in Humans and LLMs on Naturally Occurring Texts
by: Lior, Gili, et al.
Published: (2025)
by: Lior, Gili, et al.
Published: (2025)
DOVE: A Large-Scale Multi-Dimensional Predictions Dataset Towards Meaningful LLM Evaluation
by: Habba, Eliya, et al.
Published: (2025)
by: Habba, Eliya, et al.
Published: (2025)
Growing Pains: Extensible and Efficient LLM Benchmarking Via Fixed Parameter Calibration
by: Habba, Eliya, et al.
Published: (2026)
by: Habba, Eliya, et al.
Published: (2026)
JSON Whisperer: Efficient JSON Editing with LLMs
by: Duanis, Sarel, et al.
Published: (2025)
by: Duanis, Sarel, et al.
Published: (2025)
State of What Art? A Call for Multi-Prompt LLM Evaluation
by: Mizrahi, Moran, et al.
Published: (2023)
by: Mizrahi, Moran, et al.
Published: (2023)
DAC: A Dynamic Attention-aware Approach for Task-Agnostic Prompt Compression
by: Zhao, Yi, et al.
Published: (2025)
by: Zhao, Yi, et al.
Published: (2025)
Meta-Prompting: Enhancing Language Models with Task-Agnostic Scaffolding
by: Suzgun, Mirac, et al.
Published: (2024)
by: Suzgun, Mirac, et al.
Published: (2024)
Do Zombies Understand? A Choose-Your-Own-Adventure Exploration of Machine Cognition
by: Goldstein, Ariel, et al.
Published: (2024)
by: Goldstein, Ariel, et al.
Published: (2024)
A Novel Multi-Stage Prompting Approach for Language Agnostic MCQ Generation using GPT
by: Maity, Subhankar, et al.
Published: (2024)
by: Maity, Subhankar, et al.
Published: (2024)
Task Prompt Vectors: Effective Initialization through Multi-Task Soft-Prompt Transfer
by: Belanec, Robert, et al.
Published: (2024)
by: Belanec, Robert, et al.
Published: (2024)
Applying Intrinsic Debiasing on Downstream Tasks: Challenges and Considerations for Machine Translation
by: Iluz, Bar, et al.
Published: (2024)
by: Iluz, Bar, et al.
Published: (2024)
LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression
by: Pan, Zhuoshi, et al.
Published: (2024)
by: Pan, Zhuoshi, et al.
Published: (2024)
PromptWizard: Task-Aware Prompt Optimization Framework
by: Agarwal, Eshaan, et al.
Published: (2024)
by: Agarwal, Eshaan, et al.
Published: (2024)
PAFT: Prompt-Agnostic Fine-Tuning
by: Wei, Chenxing, et al.
Published: (2025)
by: Wei, Chenxing, et al.
Published: (2025)
FamiCom: Further Demystifying Prompts for Language Models with Task-Agnostic Performance Estimation
by: Li, Bangzheng, et al.
Published: (2024)
by: Li, Bangzheng, et al.
Published: (2024)
Selection-p: Self-Supervised Task-Agnostic Prompt Compression for Faithfulness and Transferability
by: Chung, Tsz Ting, et al.
Published: (2024)
by: Chung, Tsz Ting, et al.
Published: (2024)
In-Context Learning on a Budget: A Case Study in Token Classification
by: Berger, Uri, et al.
Published: (2024)
by: Berger, Uri, et al.
Published: (2024)
TemPrompt: Multi-Task Prompt Learning for Temporal Relation Extraction in RAG-based Crowdsourcing Systems
by: Yang, Jing, et al.
Published: (2024)
by: Yang, Jing, et al.
Published: (2024)
Conversational Prompt Engineering
by: Ein-Dor, Liat, et al.
Published: (2024)
by: Ein-Dor, Liat, et al.
Published: (2024)
Beyond Memorization: Distinguishing between Reductive and Epistemic Reasoning in LLMs using Classic Logic Puzzles
by: Gabay, Adi, et al.
Published: (2026)
by: Gabay, Adi, et al.
Published: (2026)
Bayesian Multi-Task Transfer Learning for Soft Prompt Tuning
by: Lee, Haeju, et al.
Published: (2024)
by: Lee, Haeju, et al.
Published: (2024)
UtilityMax Prompting: A Formal Framework for Multi-Objective Large Language Model Tasks
by: Marom, Ofir
Published: (2026)
by: Marom, Ofir
Published: (2026)
MultiGPrompt for Multi-Task Pre-Training and Prompting on Graphs
by: Yu, Xingtong, et al.
Published: (2023)
by: Yu, Xingtong, et al.
Published: (2023)
Role-playing Prompt Framework: Generation and Evaluation
by: Liu, Xun, et al.
Published: (2024)
by: Liu, Xun, et al.
Published: (2024)
Dynamic Task Vector Grouping for Efficient Multi-Task Prompt Tuning
by: Zhang, Pieyi, et al.
Published: (2025)
by: Zhang, Pieyi, et al.
Published: (2025)
Cmprsr: Abstractive Token-Level Question-Agnostic Prompt Compressor
by: Zakazov, Ivan, et al.
Published: (2025)
by: Zakazov, Ivan, et al.
Published: (2025)
Conversation Routines: A Prompt Engineering Framework for Task-Oriented Dialog Systems
by: Robino, Giorgio
Published: (2025)
by: Robino, Giorgio
Published: (2025)
An Automatic Prompt Generation System for Tabular Data Tasks
by: Akella, Ashlesha, et al.
Published: (2024)
by: Akella, Ashlesha, et al.
Published: (2024)
TransLLM: A Unified Multi-Task Foundation Framework for Urban Transportation via Learnable Prompting
by: Leng, Jiaming, et al.
Published: (2025)
by: Leng, Jiaming, et al.
Published: (2025)
Enhancing Few-Shot Transfer Learning with Optimized Multi-Task Prompt Tuning through Modular Prompt Composition
by: Pouramini, Ahmad, et al.
Published: (2024)
by: Pouramini, Ahmad, et al.
Published: (2024)
Planted in Pretraining, Swayed by Finetuning: A Case Study on the Origins of Cognitive Biases in LLMs
by: Itzhak, Itay, et al.
Published: (2025)
by: Itzhak, Itay, et al.
Published: (2025)
Similar Items
-
ReliableEval: A Recipe for Stochastic LLM Evaluation via Method of Moments
by: Lior, Gili, et al.
Published: (2025) -
The State and Fate of Summarization Datasets: A Survey
by: Dahan, Noam, et al.
Published: (2024) -
Comparing Humans and Models on a Similar Scale: Towards Cognitive Gender Bias Evaluation in Coreference Resolution
by: Lior, Gili, et al.
Published: (2023) -
Beyond Benchmarks: On The False Promise of AI Regulation
by: Stanovsky, Gabriel, et al.
Published: (2025) -
From Feelings to Metrics: Understanding and Formalizing How Users Vibe-Test LLMs
by: Itzhak, Itay, et al.
Published: (2026)