Teach Better or Show Smarter? On Instructions and Exemplars in Automatic Prompt Optimization
Fuente:
arXiv
Guardado en:
| Autores principales: | Wan, Xingchen, Sun, Ruoxi, Nakhost, Hootan, Arik, Sercan O. |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
From Few to Many: Self-Improving Many-Shot Reasoners Through Iterative Optimization and Generation
por: Wan, Xingchen, et al.
Publicado: (2025)
por: Wan, Xingchen, et al.
Publicado: (2025)
Multi-Agent Design: Optimizing Agents with Better Prompts and Topologies
por: Zhou, Han, et al.
Publicado: (2025)
por: Zhou, Han, et al.
Publicado: (2025)
Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models
por: Wang, Fei, et al.
Publicado: (2024)
por: Wang, Fei, et al.
Publicado: (2024)
DynScaling: Efficient Verifier-free Inference Scaling via Dynamic and Integrated Sampling
por: Wang, Fei, et al.
Publicado: (2025)
por: Wang, Fei, et al.
Publicado: (2025)
Maestro: Self-Improving Text-to-Image Generation via Agent Orchestration
por: Wan, Xingchen, et al.
Publicado: (2025)
por: Wan, Xingchen, et al.
Publicado: (2025)
Learning to Clarify: Multi-turn Conversations with Action-Based Contrastive Self-Training
por: Chen, Maximillian, et al.
Publicado: (2024)
por: Chen, Maximillian, et al.
Publicado: (2024)
SQL-GEN: Bridging the Dialect Gap for Text-to-SQL Via Synthetic Data And Model Merging
por: Pourreza, Mohammadreza, et al.
Publicado: (2024)
por: Pourreza, Mohammadreza, et al.
Publicado: (2024)
Reasoning-SQL: Reinforcement Learning with SQL Tailored Partial Rewards for Reasoning-Enhanced Text-to-SQL
por: Pourreza, Mohammadreza, et al.
Publicado: (2025)
por: Pourreza, Mohammadreza, et al.
Publicado: (2025)
SQL-PaLM: Improved Large Language Model Adaptation for Text-to-SQL (extended)
por: Sun, Ruoxi, et al.
Publicado: (2023)
por: Sun, Ruoxi, et al.
Publicado: (2023)
Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG
por: Jin, Bowen, et al.
Publicado: (2024)
por: Jin, Bowen, et al.
Publicado: (2024)
Agentic Policy Optimization via Instruction-Policy Co-Evolution
por: Zhou, Han, et al.
Publicado: (2025)
por: Zhou, Han, et al.
Publicado: (2025)
CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL
por: Pourreza, Mohammadreza, et al.
Publicado: (2024)
por: Pourreza, Mohammadreza, et al.
Publicado: (2024)
Data-Centric Improvements for Enhancing Multi-Modal Understanding in Spoken Conversation Modeling
por: Chen, Maximillian, et al.
Publicado: (2024)
por: Chen, Maximillian, et al.
Publicado: (2024)
Prompt Optimization with EASE? Efficient Ordering-aware Automated Selection of Exemplars
por: Wu, Zhaoxuan, et al.
Publicado: (2024)
por: Wu, Zhaoxuan, et al.
Publicado: (2024)
Automatic Prompt Optimization with Prompt Distillation
por: Dyagin, Ernest A., et al.
Publicado: (2025)
por: Dyagin, Ernest A., et al.
Publicado: (2025)
AutoPEFT: Automatic Configuration Search for Parameter-Efficient Fine-Tuning
por: Zhou, Han, et al.
Publicado: (2023)
por: Zhou, Han, et al.
Publicado: (2023)
Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering
por: Zhou, Han, et al.
Publicado: (2023)
por: Zhou, Han, et al.
Publicado: (2023)
Learn-by-interact: A Data-Centric Framework for Self-Adaptive Agents in Realistic Environments
por: Su, Hongjin, et al.
Publicado: (2025)
por: Su, Hongjin, et al.
Publicado: (2025)
Instruction-tuned Language Models are Better Knowledge Learners
por: Jiang, Zhengbao, et al.
Publicado: (2024)
por: Jiang, Zhengbao, et al.
Publicado: (2024)
Fine-Tuning and Prompt Optimization: Two Great Steps that Work Better Together
por: Soylu, Dilara, et al.
Publicado: (2024)
por: Soylu, Dilara, et al.
Publicado: (2024)
Better Alignment with Instruction Back-and-Forth Translation
por: Nguyen, Thao, et al.
Publicado: (2024)
por: Nguyen, Thao, et al.
Publicado: (2024)
SETS: Leveraging Self-Verification and Self-Correction for Improved Test-Time Scaling
por: Chen, Jiefeng, et al.
Publicado: (2025)
por: Chen, Jiefeng, et al.
Publicado: (2025)
The Unreasonable Effectiveness of Eccentric Automatic Prompts
por: Battle, Rick, et al.
Publicado: (2024)
por: Battle, Rick, et al.
Publicado: (2024)
FLAIRR-TS -- Forecasting LLM-Agents with Iterative Refinement and Retrieval for Time Series
por: Jalori, Gunjan, et al.
Publicado: (2025)
por: Jalori, Gunjan, et al.
Publicado: (2025)
Benchmarks Saturate When The Model Gets Smarter Than The Judge
por: Ballon, Marthe, et al.
Publicado: (2026)
por: Ballon, Marthe, et al.
Publicado: (2026)
CriSPO: Multi-Aspect Critique-Suggestion-guided Automatic Prompt Optimization for Text Generation
por: He, Han, et al.
Publicado: (2024)
por: He, Han, et al.
Publicado: (2024)
KITE: Kernelized and Information Theoretic Exemplars for In-Context Learning
por: Singh, Vaibhav, et al.
Publicado: (2025)
por: Singh, Vaibhav, et al.
Publicado: (2025)
Foundational Autoraters: Taming Large Language Models for Better Automatic Evaluation
por: Vu, Tu, et al.
Publicado: (2024)
por: Vu, Tu, et al.
Publicado: (2024)
RePrompt: Planning by Automatic Prompt Engineering for Large Language Models Agents
por: Chen, Weizhe, et al.
Publicado: (2024)
por: Chen, Weizhe, et al.
Publicado: (2024)
R.I.P.: Better Models by Survival of the Fittest Prompts
por: Yu, Ping, et al.
Publicado: (2025)
por: Yu, Ping, et al.
Publicado: (2025)
Reasoning with Sampling: Your Base Model is Smarter Than You Think
por: Karan, Aayush, et al.
Publicado: (2025)
por: Karan, Aayush, et al.
Publicado: (2025)
Instruction Fine-Tuning: Does Prompt Loss Matter?
por: Huerta-Enochian, Mathew, et al.
Publicado: (2024)
por: Huerta-Enochian, Mathew, et al.
Publicado: (2024)
VISTA: A Test-Time Self-Improving Video Generation Agent
por: Long, Do Xuan, et al.
Publicado: (2025)
por: Long, Do Xuan, et al.
Publicado: (2025)
From Instructions to Constraints: Language Model Alignment with Automatic Constraint Verification
por: Wang, Fei, et al.
Publicado: (2024)
por: Wang, Fei, et al.
Publicado: (2024)
Query-Dependent Prompt Evaluation and Optimization with Offline Inverse RL
por: Sun, Hao, et al.
Publicado: (2023)
por: Sun, Hao, et al.
Publicado: (2023)
Local Prompt Optimization
por: Jain, Yash, et al.
Publicado: (2025)
por: Jain, Yash, et al.
Publicado: (2025)
Teaching LLMs for Step-Level Automatic Math Correction via Reinforcement Learning
por: Li, Junsong, et al.
Publicado: (2025)
por: Li, Junsong, et al.
Publicado: (2025)
PromptWizard: Task-Aware Prompt Optimization Framework
por: Agarwal, Eshaan, et al.
Publicado: (2024)
por: Agarwal, Eshaan, et al.
Publicado: (2024)
Self-Supervised Prompt Optimization
por: Xiang, Jinyu, et al.
Publicado: (2025)
por: Xiang, Jinyu, et al.
Publicado: (2025)
Large Language Models Are Better Logical Fallacy Reasoners with Counterargument, Explanation, and Goal-Aware Prompt Formulation
por: Jeong, Jiwon, et al.
Publicado: (2025)
por: Jeong, Jiwon, et al.
Publicado: (2025)
Ejemplares similares
-
From Few to Many: Self-Improving Many-Shot Reasoners Through Iterative Optimization and Generation
por: Wan, Xingchen, et al.
Publicado: (2025) -
Multi-Agent Design: Optimizing Agents with Better Prompts and Topologies
por: Zhou, Han, et al.
Publicado: (2025) -
Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models
por: Wang, Fei, et al.
Publicado: (2024) -
DynScaling: Efficient Verifier-free Inference Scaling via Dynamic and Integrated Sampling
por: Wang, Fei, et al.
Publicado: (2025) -
Maestro: Self-Improving Text-to-Image Generation via Agent Orchestration
por: Wan, Xingchen, et al.
Publicado: (2025)