Cover Image

Introducing MAPO: Momentum-Aided Gradient Descent Prompt Optimization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Cui, Anthony, Nandyalam, Pranav, Rufail, Andrew, Cheung, Ethan, Lei, Aiden, Zhu, Kevin, O'Brien, Sean
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

CLEAR: Contrasting Textual Feedback with Experts and Amateurs for Reasoning
by: Rufail, Andrew, et al.
Published: (2025)

Question-Analysis Prompting Improves LLM Performance in Reasoning Tasks
by: Yugeswardeenoo, Dharunish, et al.
Published: (2024)

Error Reflection Prompting: Can Large Language Models Successfully Understand Errors?
by: Li, Jason, et al.
Published: (2025)

MAPO: Boosting Large Language Model Performance with Model-Adaptive Prompt Optimization
by: Chen, Yuyan, et al.
Published: (2024)

Semantic Convergence: Investigating Shared Representations Across Scaled LLMs
by: Son, Daniel, et al.
Published: (2025)

Pruning for Performance: Efficient Idiom and Metaphor Classification in Low-Resource Konkani Using mBERT
by: Do, Timothy, et al.
Published: (2025)

MAPO: Advancing Multilingual Reasoning through Multilingual Alignment-as-Preference Optimization
by: She, Shuaijie, et al.
Published: (2024)

Adaptive Originality Filtering: Rejection Based Prompting and RiddleScore for Culturally Grounded Multilingual Riddle Generation
by: Le, Duy, et al.
Published: (2025)

EnDive: A Cross-Dialect Benchmark for Fairness and Performance in Large Language Models
by: Gupta, Abhay, et al.
Published: (2025)

AAVENUE: Detecting LLM Biases on NLU Tasks in AAVE via a Novel Benchmark
by: Gupta, Abhay, et al.
Published: (2024)

NovelHopQA: Diagnosing Multi-Hop Reasoning Failures in Long Narrative Contexts
by: Gupta, Abhay, et al.
Published: (2025)

ERGO: Entropy-guided Resetting for Generation Optimization in Multi-turn Language Models
by: Khalid, Haziq Mohammad, et al.
Published: (2025)

Can Gradient Descent Simulate Prompting?
by: Zhang, Eric, et al.
Published: (2025)

Semantic Self-Consistency: Enhancing Language Model Reasoning via Semantic Weighting
by: Knappe, Tim, et al.
Published: (2024)

FAIRE: Assessing Racial and Gender Bias in AI-Driven Resume Evaluations
by: Wen, Athena, et al.
Published: (2025)

Textual Gradients are a Flawed Metaphor for Automatic Prompt Optimization
by: Melcer, Daniel, et al.
Published: (2025)

Direct Confidence Alignment: Aligning Verbalized Confidence with Internal Confidence In Large Language Models
by: Zhang, Glenn, et al.
Published: (2025)

AutoMedPrompt: A New Framework for Optimizing LLM Medical Prompts Using Textual Gradients
by: Wu, Sean, et al.
Published: (2025)

ChunkRAG: Novel LLM-Chunk Filtering Method for RAG Systems
by: Singh, Ishneet Sukhvinder, et al.
Published: (2024)

Probing Audio-Generation Capabilities of Text-Based Language Models
by: Anbazhagan, Arjun Prasaath, et al.
Published: (2025)

Sarc7: Evaluating Sarcasm Detection and Generation with Seven Types and Emotion-Informed Techniques
by: Xiong, Lang, et al.
Published: (2025)

Pause-Tuning for Long-Context Comprehension: A Lightweight Approach to LLM Attention Recalibration
by: Begin, James, et al.
Published: (2025)

MALIBU Benchmark: Multi-Agent LLM Implicit Bias Uncovered
by: Mirza, Imran, et al.
Published: (2025)

Improving LLM Abilities in Idiomatic Translation
by: Donthi, Sundesh, et al.
Published: (2024)

LLM as a Complementary Optimizer to Gradient Descent: A Case Study in Prompt Tuning
by: Guo, Zixian, et al.
Published: (2024)

Chain-of-Thought Augmentation with Logit Contrast for Enhanced Reasoning in Language Models
by: Shim, Jay, et al.
Published: (2024)

TRUTH DECAY: Quantifying Multi-Turn Sycophancy in Language Models
by: Liu, Joshua, et al.
Published: (2025)

Causal Language Control in Multilingual Transformers via Sparse Feature Steering
by: Chou, Cheng-Ting, et al.
Published: (2025)

DiversityMedQA: Assessing Demographic Biases in Medical Diagnosis using Large Language Models
by: Rawat, Rajat, et al.
Published: (2024)

From Directions to Cones: Exploring Multidimensional Representations of Propositional Facts in LLMs
by: Yu, Stanley, et al.
Published: (2025)

In-Context Optimization for Retrieval-Augmented Generation: A Gradient-Descent Perspective
by: Li, Mingchen, et al.
Published: (2026)

MAPO: Mixed Advantage Policy Optimization
by: Huang, Wenke, et al.
Published: (2025)

Modular Prompt Optimization: Optimizing Structured Prompts with Section-Local Textual Gradients
by: Sharma, Prith, et al.
Published: (2026)

LoRA-MGPO: Mitigating Double Descent in Low-Rank Adaptation via Momentum-Guided Perturbation Optimization
by: Chang, Yupeng, et al.
Published: (2025)

Stochastic Gradient Descent with Momentum is Algorithmically Stable
by: Lei, Yunwen, et al.
Published: (2026)

Distill CLIP (DCLIP): Enhancing Image-Text Retrieval via Cross-Modal Transformer Distillation
by: Csizmadia, Daniel, et al.
Published: (2025)

Rosetta-PL: Propositional Logic as a Benchmark for Large Language Model Reasoning
by: Baek, Shaun, et al.
Published: (2025)

Omnidirectional type inference for ML: principality any way
by: O'Brien, Alistair, et al.
Published: (2025)

CDQuant: Greedy Coordinate Descent for Accurate LLM Quantization
by: Nair, Pranav Ajit, et al.
Published: (2024)

Optimize Weight Rounding via Signed Gradient Descent for the Quantization of LLMs
by: Cheng, Wenhua, et al.
Published: (2023)