The Prompt is Mightier than the Example
Fuente:
arXiv
Saved in:
| Main Authors: | Xu, Shengzhe, Muralidhar, Nikhil, Ramakrishnan, Naren |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Information Guided Regularization for Fine-tuning Language Models
by: Sharma, Mandar, et al.
Published: (2024)
by: Sharma, Mandar, et al.
Published: (2024)
Why LLMs Are Bad at Synthetic Table Generation (and what to do about it)
by: Xu, Shengzhe, et al.
Published: (2024)
by: Xu, Shengzhe, et al.
Published: (2024)
Large Multi-Modal Models (LMMs) as Universal Foundation Models for AI-Native Wireless Systems
by: Xu, Shengzhe, et al.
Published: (2024)
by: Xu, Shengzhe, et al.
Published: (2024)
Laying Anchors: Semantically Priming Numerals in Language Modeling
by: Sharma, Mandar, et al.
Published: (2024)
by: Sharma, Mandar, et al.
Published: (2024)
Can an LLM Induce a Graph? Investigating Memory Drift and Context Length
by: Yousuf, Raquib Bin, et al.
Published: (2025)
by: Yousuf, Raquib Bin, et al.
Published: (2025)
Reinforcement Learning as a Parsimonious Alternative to Prediction Cascades: A Case Study on Image Segmentation
by: Srikishan, Bharat, et al.
Published: (2024)
by: Srikishan, Bharat, et al.
Published: (2024)
How (Not) to Hybridize Neural and Mechanistic Models for Epidemiological Forecasting
by: Su, Yiqi, et al.
Published: (2026)
by: Su, Yiqi, et al.
Published: (2026)
DMWM: Dual-Mind World Model with Long-Term Imagination
by: Wang, Lingyi, et al.
Published: (2025)
by: Wang, Lingyi, et al.
Published: (2025)
Dual-Mind World Models: A General Framework for Learning in Dynamic Wireless Networks
by: Wang, Lingyi, et al.
Published: (2025)
by: Wang, Lingyi, et al.
Published: (2025)
An Invariant Compiler for Neural ODEs in AI-Accelerated Scientific Simulation
by: Yu, Fangzhou, et al.
Published: (2026)
by: Yu, Fangzhou, et al.
Published: (2026)
Model-Agnostic Knowledge Guided Correction for Improved Neural Surrogate Rollout
by: Srikishan, Bharat, et al.
Published: (2025)
by: Srikishan, Bharat, et al.
Published: (2025)
When can isotropy help adapt LLMs' next word prediction to numerical domains?
by: Shelim, Rashed, et al.
Published: (2025)
by: Shelim, Rashed, et al.
Published: (2025)
Optimizing Product Provenance Verification using Data Valuation Methods
by: Yousuf, Raquib Bin, et al.
Published: (2025)
by: Yousuf, Raquib Bin, et al.
Published: (2025)
Toward World Models for Epidemiology
by: Memon, Zeeshan, et al.
Published: (2026)
by: Memon, Zeeshan, et al.
Published: (2026)
Finetune-Informed Pretraining Boosts Downstream Performance
by: Faysal, Atik, et al.
Published: (2026)
by: Faysal, Atik, et al.
Published: (2026)
Plug-and-Play AMC: Context Is King in Training-Free, Open-Set Modulation with LLMs
by: Rostami, Mohammad, et al.
Published: (2025)
by: Rostami, Mohammad, et al.
Published: (2025)
Large Language Models Can Perform Automatic Modulation Classification via Discretized Self-supervised Candidate Retrieval
by: Rostami, Mohammad, et al.
Published: (2025)
by: Rostami, Mohammad, et al.
Published: (2025)
Predicting Performance of Symbolic and Prompt Programs with Examples
by: Zheng, Chengqi, et al.
Published: (2026)
by: Zheng, Chengqi, et al.
Published: (2026)
Agentic Framework for Epidemiological Modeling
by: Datta, Rituparna, et al.
Published: (2026)
by: Datta, Rituparna, et al.
Published: (2026)
A Geometric Approach to Problems in Optimization and Data Science
by: Manoj, Naren Sarayu
Published: (2025)
by: Manoj, Naren Sarayu
Published: (2025)
DenoMAE2.0: Improving Denoising Masked Autoencoders by Classifying Local Patches
by: Faysal, Atik, et al.
Published: (2025)
by: Faysal, Atik, et al.
Published: (2025)
Mixture of Parrots: Experts improve memorization more than reasoning
by: Jelassi, Samy, et al.
Published: (2024)
by: Jelassi, Samy, et al.
Published: (2024)
QuOTE: Question-Oriented Text Embeddings
by: Neeser, Andrew, et al.
Published: (2025)
by: Neeser, Andrew, et al.
Published: (2025)
NMformer: A Transformer for Noisy Modulation Classification in Wireless Communication
by: Faysal, Atik, et al.
Published: (2024)
by: Faysal, Atik, et al.
Published: (2024)
Semi-Supervised Masked Autoencoders: Unlocking Vision Transformer Potential with Limited Data
by: Faysal, Atik, et al.
Published: (2026)
by: Faysal, Atik, et al.
Published: (2026)
Temporal Misalignment Attacks against Multimodal Perception in Autonomous Driving
by: Shahriar, Md Hasan, et al.
Published: (2025)
by: Shahriar, Md Hasan, et al.
Published: (2025)
Let the Noise Speak: Harnessing Noise for a Unified Defense Against Adversarial and Backdoor Attacks
by: Shahriar, Md Hasan, et al.
Published: (2024)
by: Shahriar, Md Hasan, et al.
Published: (2024)
The Loupe: A Plug-and-Play Attention Module for Amplifying Discriminative Features in Vision Transformers
by: Sengodan, Naren
Published: (2025)
by: Sengodan, Naren
Published: (2025)
Experience as a Compass: Multi-agent RAG with Evolving Orchestration and Agent Prompts
by: Li, Sha, et al.
Published: (2026)
by: Li, Sha, et al.
Published: (2026)
DenoMAE: A Multimodal Autoencoder for Denoising Modulation Signals
by: Faysal, Atik, et al.
Published: (2025)
by: Faysal, Atik, et al.
Published: (2025)
Breast Cancer Histopathology Classification using CBAM-EfficientNetV2 with Transfer Learning
by: Sengodan, Naren
Published: (2024)
by: Sengodan, Naren
Published: (2024)
LLM Augmentations to support Analytical Reasoning over Multiple Documents
by: Yousuf, Raquib Bin, et al.
Published: (2024)
by: Yousuf, Raquib Bin, et al.
Published: (2024)
Hindsight is 20/20: Building Agent Memory that Retains, Recalls, and Reflects
by: Latimer, Chris, et al.
Published: (2025)
by: Latimer, Chris, et al.
Published: (2025)
Data-Driven Target Localization: Benchmarking Gradient Descent Using the Cramer-Rao Bound
by: Venkatasubramanian, Shyam, et al.
Published: (2024)
by: Venkatasubramanian, Shyam, et al.
Published: (2024)
ESA: Example Sieve Approach for Multi-Positive and Unlabeled Learning
by: Li, Zhongnian, et al.
Published: (2024)
by: Li, Zhongnian, et al.
Published: (2024)
When Priors Backfire: On the Vulnerability of Unlearnable Examples to Pretraining
by: Li, Zhihao, et al.
Published: (2026)
by: Li, Zhihao, et al.
Published: (2026)
Adversarial Examples Are Not Bugs, They Are Superposition
by: Gorton, Liv, et al.
Published: (2025)
by: Gorton, Liv, et al.
Published: (2025)
Generation from Noisy Examples
by: Raman, Ananth, et al.
Published: (2025)
by: Raman, Ananth, et al.
Published: (2025)
Countering Overfitting with Counterfactual Examples
by: Giorgi, Flavio, et al.
Published: (2025)
by: Giorgi, Flavio, et al.
Published: (2025)
Unlearnable Examples For Time Series
by: Jiang, Yujing, et al.
Published: (2024)
by: Jiang, Yujing, et al.
Published: (2024)
Similar Items
-
Information Guided Regularization for Fine-tuning Language Models
by: Sharma, Mandar, et al.
Published: (2024) -
Why LLMs Are Bad at Synthetic Table Generation (and what to do about it)
by: Xu, Shengzhe, et al.
Published: (2024) -
Large Multi-Modal Models (LMMs) as Universal Foundation Models for AI-Native Wireless Systems
by: Xu, Shengzhe, et al.
Published: (2024) -
Laying Anchors: Semantically Priming Numerals in Language Modeling
by: Sharma, Mandar, et al.
Published: (2024) -
Can an LLM Induce a Graph? Investigating Memory Drift and Context Length
by: Yousuf, Raquib Bin, et al.
Published: (2025)