Image de couverture de livre

GReaTer: Gradients over Reasoning Makes Smaller Language Models Strong Prompt Optimizers

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Das, Sarkar Snigdha Sarathi, Kamoi, Ryo, Pang, Bo, Zhang, Yusen, Xiong, Caiming, Zhang, Rui
Format:	Preprint
Publié:	2024
Sujets:	Computation and Language
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

VisOnlyQA: Large Vision Language Models Still Struggle with Visual Perception of Geometric Information
par: Kamoi, Ryo, et autres
Publié: (2024)

GREATERPROMPT: A Unified, Customizable, and High-Performing Open-Source Toolkit for Prompt Optimization
par: Zheng, Wenliang, et autres
Publié: (2025)

Verbosity $\neq$ Veracity: Demystify Verbosity Compensation Behavior of Large Language Models
par: Zhang, Yusen, et autres
Publié: (2024)

Efficient PRM Training Data Synthesis via Formal Verification
par: Kamoi, Ryo, et autres
Publié: (2025)

Can LLMs Rank the Harmfulness of Smaller LLMs? We are Not There Yet
par: Atil, Berk, et autres
Publié: (2025)

When Can LLMs Actually Correct Their Own Mistakes? A Critical Survey of Self-Correction of LLMs
par: Kamoi, Ryo, et autres
Publié: (2024)

Evaluating LLMs at Detecting Errors in LLM Responses
par: Kamoi, Ryo, et autres
Publié: (2024)

Direct-Inverse Prompting: Analyzing LLMs' Discriminative Capacity in Self-Improving Generation
par: Ahn, Jihyun Janice, et autres
Publié: (2024)

HRScene: How Far Are VLMs from Effective High-Resolution Image Understanding?
par: Zhang, Yusen, et autres
Publié: (2025)

Fair Abstractive Summarization of Diverse Perspectives
par: Zhang, Yusen, et autres
Publié: (2023)

Coverage-based Fairness in Multi-document Summarization
par: Li, Haoyuan, et autres
Publié: (2024)

Reasoning Curriculum: Bootstrapping Broad LLM Reasoning from Math
par: Pang, Bo, et autres
Publié: (2025)

Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solvers
par: Qi, Zhenting, et autres
Publié: (2024)

Evaluating LLM-Simulated Conversations in Modeling Inconsistent and Uncollaborative Behaviors in Human Social Interaction
par: Kamoi, Ryo, et autres
Publié: (2026)

Nexus : An Agentic Framework for Time Series Forecasting
par: Das, Sarkar Snigdha Sarathi, et autres
Publié: (2026)

GReaTER: Generate Realistic Tabular data after data Enhancement and Reduction
par: Kwok, Tung Sum Thomas, et autres
Publié: (2025)

Smaller But Better: Unifying Layout Generation with Smaller Large Language Models
par: Zhang, Peirong, et autres
Publié: (2025)

Synapse: Adaptive Arbitration of Complementary Expertise in Time Series Foundational Models
par: Das, Sarkar Snigdha Sarathi, et autres
Publié: (2025)

Improving Fairness of Large Language Models in Multi-document Summarization
par: Li, Haoyuan, et autres
Publié: (2025)

Mixed Distillation Helps Smaller Language Model Better Reasoning
par: Li, Chenglin, et autres
Publié: (2023)

SSR: Socratic Self-Refine for Large Language Model Reasoning
par: Shi, Haizhou, et autres
Publié: (2025)

BOLT: Bootstrap Long Chain-of-Thought in Language Models without Distillation
par: Pang, Bo, et autres
Publié: (2025)

Promptomatix: An Automatic Prompt Optimization Framework for Large Language Models
par: Murthy, Rithesh, et autres
Publié: (2025)

Prompt Optimization Via Diffusion Language Models
par: Wang, Shiyu, et autres
Publié: (2026)

DocMath-Eval: Evaluating Math Reasoning Capabilities of LLMs in Understanding Long and Specialized Documents
par: Zhao, Yilun, et autres
Publié: (2023)

A Minimalist Approach to LLM Reasoning: from Rejection Sampling to Reinforce
par: Xiong, Wei, et autres
Publié: (2025)

ভারতীয় দর্শনে বিভিন্ন কার্যকারণতত্ত্বগুলির সংক্ষিপ্ত সার
par: Dr. Partha Sarathi Das
Publié: (2025)

When Reasoning Meets Compression: Understanding the Effects of LLMs Compression on Large Reasoning Models
par: Zhang, Nan, et autres
Publié: (2025)

Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization
par: Yao, Weiran, et autres
Publié: (2023)

Exploring the Reusability of Oil Refinery Sludge Post Blending With Natural Bulking Agents: Comparing the Suitability of Rice Husk and Cow Dung Manure
par: Snigdha Nath, et autres
Publié: (2025)

Prompt and Parameter Co-Optimization for Large Language Models
par: Bo, Xiaohe, et autres
Publié: (2025)

ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction
par: Lin, Jianghao, et autres
Publié: (2023)

EmbedGrad: Gradient-Based Prompt Optimization in Embedding Space for Large Language Models
par: Hou, Xiaoming, et autres
Publié: (2025)

Smaller Language Models Are Better Instruction Evolvers
par: Hui, Tingfeng, et autres
Publié: (2024)

Stability of the weak Haagerup property under graph products
par: Das, Shubhabrata, et autres
Publié: (2026)

Stability of Haagerup property under graph product
par: Das, Shubhabrata, et autres
Publié: (2026)

CLOVER: A Test Case Generation Benchmark with Coverage, Long-Context, and Verification
par: Xu, Jiacheng, et autres
Publié: (2025)

HPE:Answering Complex Questions over Text by Hybrid Question Parsing and Execution
par: Liu, Ye, et autres
Publié: (2023)

Catch Me If You Can: How Smaller Reasoning Models Pretend to Reason with Mathematical Fidelity
par: Sahoo, Subramanyam, et autres
Publié: (2025)

A General Benchmark Framework is Dynamic Graph Neural Network Need
par: Zhang, Yusen
Publié: (2024)