SCULPT: Systematic Tuning of Long Prompts
Fuente:
arXiv
Saved in:
| Main Authors: | Kumar, Shanu, Venkata, Akhila Yesantarao, Khandelwal, Shubhanshu, Santra, Bishal, Agrawal, Parag, Gupta, Manish |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Towards Safer Pretraining: Analyzing and Filtering Harmful Content in Webscale datasets for Responsible LLMs
by: Mendu, Sai Krishna, et al.
Published: (2025)
by: Mendu, Sai Krishna, et al.
Published: (2025)
USDC: A Dataset of $\underline{U}$ser $\underline{S}$tance and $\underline{D}$ogmatism in Long $\underline{C}$onversations
by: Marreddy, Mounika, et al.
Published: (2024)
by: Marreddy, Mounika, et al.
Published: (2024)
CoCoA: Confidence and Context-Aware Adaptive Decoding for Resolving Knowledge Conflicts in Large Language Models
by: Khandelwal, Anant, et al.
Published: (2025)
by: Khandelwal, Anant, et al.
Published: (2025)
Exposing LLM Safety Gaps Through Mathematical Encoding:New Attacks and Systematic Analysis
by: Zhang, Haoyu, et al.
Published: (2026)
by: Zhang, Haoyu, et al.
Published: (2026)
Enhancing Zero-shot Chain of Thought Prompting via Uncertainty-Guided Strategy Selection
by: Kumar, Shanu, et al.
Published: (2024)
by: Kumar, Shanu, et al.
Published: (2024)
Mortgage Language Model: Domain-Adaptive Pretraining with Residual Instruction, Alignment Tuning, and Task-Specific Routing
by: Jain, Manish, et al.
Published: (2025)
by: Jain, Manish, et al.
Published: (2025)
Leveraging User-Generated Reviews for Recommender Systems with Dynamic Headers
by: Vashishtha, Shanu, et al.
Published: (2024)
by: Vashishtha, Shanu, et al.
Published: (2024)
Personality Prediction from Life Stories using Language Models
by: Hussain, Rasiq, et al.
Published: (2025)
by: Hussain, Rasiq, et al.
Published: (2025)
Prompt Tuning for Natural Language to SQL with Embedding Fine-Tuning and RAG
by: Jang, Jisoo, et al.
Published: (2025)
by: Jang, Jisoo, et al.
Published: (2025)
Chat-Ghosting: A Comparative Study of Methods for Auto-Completion in Dialog Systems
by: Mishra, Sandeep, et al.
Published: (2025)
by: Mishra, Sandeep, et al.
Published: (2025)
TopicTag: Automatic Annotation of NMF Topic Models Using Chain of Thought and Prompt Tuning with LLMs
by: Wanna, Selma, et al.
Published: (2024)
by: Wanna, Selma, et al.
Published: (2024)
SMLT-MUGC: Small, Medium, and Large Texts -- Machine versus User-Generated Content Detection and Comparison
by: Rawal, Anjali, et al.
Published: (2024)
by: Rawal, Anjali, et al.
Published: (2024)
PromptFix: Few-shot Backdoor Removal via Adversarial Prompt Tuning
by: Zhang, Tianrong, et al.
Published: (2024)
by: Zhang, Tianrong, et al.
Published: (2024)
Socio-Culturally Aware Evaluation Framework for LLM-Based Content Moderation
by: Kumar, Shanu, et al.
Published: (2024)
by: Kumar, Shanu, et al.
Published: (2024)
TRIM: Token-wise Attention-Derived Saliency for Data-Efficient Instruction Tuning
by: Nagaraj, Manish, et al.
Published: (2025)
by: Nagaraj, Manish, et al.
Published: (2025)
Fill in the Blank: Exploring and Enhancing LLM Capabilities for Backward Reasoning in Math Word Problems
by: Deb, Aniruddha, et al.
Published: (2023)
by: Deb, Aniruddha, et al.
Published: (2023)
Exploring Embedding Priors in Prompt-Tuning for Improved Interpretability and Control
by: Sedov, Sergey, et al.
Published: (2024)
by: Sedov, Sergey, et al.
Published: (2024)
DynaPrompt: Dynamic Test-Time Prompt Tuning
by: Xiao, Zehao, et al.
Published: (2025)
by: Xiao, Zehao, et al.
Published: (2025)
Blu-WERP (Web Extraction and Refinement Pipeline): A Scalable Pipeline for Preprocessing Large Language Model Datasets
by: Gowtham, et al.
Published: (2025)
by: Gowtham, et al.
Published: (2025)
Simplify-This: A Comparative Analysis of Prompt-Based and Fine-Tuned LLMs
by: Cohen, Eilam, et al.
Published: (2026)
by: Cohen, Eilam, et al.
Published: (2026)
Efficient Prompt Tuning by Multi-Space Projection and Prompt Fusion
by: Lan, Pengxiang, et al.
Published: (2024)
by: Lan, Pengxiang, et al.
Published: (2024)
Characterizing Prompt Compression Methods for Long Context Inference
by: Jha, Siddharth, et al.
Published: (2024)
by: Jha, Siddharth, et al.
Published: (2024)
Fractional Rotation, Full Potential? Investigating Performance and Convergence of Partial RoPE
by: Khan, Mohammad Aflah, et al.
Published: (2026)
by: Khan, Mohammad Aflah, et al.
Published: (2026)
LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression
by: Jiang, Huiqiang, et al.
Published: (2023)
by: Jiang, Huiqiang, et al.
Published: (2023)
Subgraph-level Universal Prompt Tuning
by: Lee, Junhyun, et al.
Published: (2024)
by: Lee, Junhyun, et al.
Published: (2024)
Router-Suggest: Dynamic Routing for Multimodal Auto-Completion in Visually-Grounded Dialogs
by: Mishra, Sandeep, et al.
Published: (2026)
by: Mishra, Sandeep, et al.
Published: (2026)
When Do Prompting and Prefix-Tuning Work? A Theory of Capabilities and Limitations
by: Petrov, Aleksandar, et al.
Published: (2023)
by: Petrov, Aleksandar, et al.
Published: (2023)
Attribute Diversity Determines the Systematicity Gap in VQA
by: Berlot-Attwell, Ian, et al.
Published: (2023)
by: Berlot-Attwell, Ian, et al.
Published: (2023)
ProRefine: Inference-Time Prompt Refinement with Textual Feedback
by: Pandita, Deepak, et al.
Published: (2025)
by: Pandita, Deepak, et al.
Published: (2025)
Preserving Long-Tailed Expert Information in Mixture-of-Experts Tuning
by: He, Haoze, et al.
Published: (2026)
by: He, Haoze, et al.
Published: (2026)
Aligning the Spectrum: Hybrid Graph Pre-training and Prompt Tuning across Homophily and Heterophily
by: Luo, Haitong, et al.
Published: (2025)
by: Luo, Haitong, et al.
Published: (2025)
Plug and Play with Prompts: A Prompt Tuning Approach for Controlling Text Generation
by: Ajwani, Rohan Deepak, et al.
Published: (2024)
by: Ajwani, Rohan Deepak, et al.
Published: (2024)
Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RL
by: Choi, Yunseon, et al.
Published: (2024)
by: Choi, Yunseon, et al.
Published: (2024)
Selective Prompting Tuning for Personalized Conversations with LLMs
by: Huang, Qiushi, et al.
Published: (2024)
by: Huang, Qiushi, et al.
Published: (2024)
Hierarchical Text Classification Using Contrastive Learning Informed Path Guided Hierarchy
by: Agrawal, Neeraj, et al.
Published: (2025)
by: Agrawal, Neeraj, et al.
Published: (2025)
Building a Few-Shot Cross-Domain Multilingual NLU Model for Customer Care
by: Kumar, Saurabh, et al.
Published: (2025)
by: Kumar, Saurabh, et al.
Published: (2025)
Patch-Prompt Aligned Bayesian Prompt Tuning for Vision-Language Models
by: Liu, Xinyang, et al.
Published: (2023)
by: Liu, Xinyang, et al.
Published: (2023)
Offline Exploration-Aware Fine-Tuning for Long-Chain Mathematical Reasoning
by: Mu, Yongyu, et al.
Published: (2026)
by: Mu, Yongyu, et al.
Published: (2026)
Attributional Safety Failures in Large Language Models under Code-Mixed Perturbations
by: Banerjee, Somnath, et al.
Published: (2025)
by: Banerjee, Somnath, et al.
Published: (2025)
Instruction Fine-Tuning: Does Prompt Loss Matter?
by: Huerta-Enochian, Mathew, et al.
Published: (2024)
by: Huerta-Enochian, Mathew, et al.
Published: (2024)
Similar Items
-
Towards Safer Pretraining: Analyzing and Filtering Harmful Content in Webscale datasets for Responsible LLMs
by: Mendu, Sai Krishna, et al.
Published: (2025) -
USDC: A Dataset of $\underline{U}$ser $\underline{S}$tance and $\underline{D}$ogmatism in Long $\underline{C}$onversations
by: Marreddy, Mounika, et al.
Published: (2024) -
CoCoA: Confidence and Context-Aware Adaptive Decoding for Resolving Knowledge Conflicts in Large Language Models
by: Khandelwal, Anant, et al.
Published: (2025) -
Exposing LLM Safety Gaps Through Mathematical Encoding:New Attacks and Systematic Analysis
by: Zhang, Haoyu, et al.
Published: (2026) -
Enhancing Zero-shot Chain of Thought Prompting via Uncertainty-Guided Strategy Selection
by: Kumar, Shanu, et al.
Published: (2024)