Cover Image

TextGrad: Automatic "Differentiation" via Text

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yuksekgonul, Mert, Bianchi, Federico, Boen, Joseph, Liu, Sheng, Huang, Zhi, Guestrin, Carlos, Zou, James
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

metaTextGrad: Automatically optimizing language model optimizers
by: Xu, Guowei, et al.
Published: (2025)

Inefficiencies of Meta Agents for Agent Design
by: El, Batu, et al.
Published: (2025)

Learning to Discover at Test Time
by: Yuksekgonul, Mert, et al.
Published: (2026)

Dynamic Cheatsheet: Test-Time Learning with Adaptive Memory
by: Suzgun, Mirac, et al.
Published: (2025)

TextualVerifier: Verify TextGrad Step-by-Step
by: Situmorang, Eugenius Mario, et al.
Published: (2025)

Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of Language Models
by: Yuksekgonul, Mert, et al.
Published: (2023)

OmniStruct: Universal Text-to-Structure Generation across Diverse Schemas
by: Huang, James Y., et al.
Published: (2025)

Can LLM feedback enhance review quality? A randomized study of 20K reviews at ICLR 2025
by: Thakkar, Nitya, et al.
Published: (2025)

How Well Can LLMs Negotiate? NegotiationArena Platform and Analysis
by: Bianchi, Federico, et al.
Published: (2024)

Large Language Models in the Task of Automatic Validation of Text Classifier Predictions
by: Tsymbalov, Aleksandr, et al.
Published: (2025)

CriSPO: Multi-Aspect Critique-Suggestion-guided Automatic Prompt Optimization for Text Generation
by: He, Han, et al.
Published: (2024)

Text Diffusion with Reinforced Conditioning
by: Liu, Yuxuan, et al.
Published: (2024)

Anonymous-by-Construction: An LLM-Driven Framework for Privacy-Preserving Text
by: Albanese, Federico, et al.
Published: (2026)

ArenaBencher: Automatic Benchmark Evolution via Multi-Model Competitive Evaluation
by: Liu, Qin, et al.
Published: (2025)

Unraveling Text Generation in LLMs: A Stochastic Differential Equation Approach
by: Zhang, Yukun
Published: (2024)

Text2Freq: Learning Series Patterns from Text via Frequency Domain
by: Lo, Ming-Chih, et al.
Published: (2024)

TextReg: Mitigating Prompt Distributional Overfitting via Regularized Text-Space Optimization
by: Fu, Lucheng, et al.
Published: (2026)

Cost-of-Pass: An Economic Framework for Evaluating Language Models
by: Erol, Mehmet Hamza, et al.
Published: (2025)

Reflection-Enhanced Meta-Optimization Integrating TextGrad-style Prompt Optimization with Memory-Driven Self-Evolution
by: Wu, Chunlong, et al.
Published: (2025)

ChatGPT vs Human-authored Text: Insights into Controllable Text Summarization and Sentence Style Transfer
by: Liu, Dongqi, et al.
Published: (2023)

TextAtari: 100K Frames Game Playing with Language Agents
by: Li, Wenhao, et al.
Published: (2025)

BiomedSQL: Text-to-SQL for Scientific Reasoning on Biomedical Knowledge Bases
by: Koretsky, Mathew J., et al.
Published: (2025)

Rep2Text: Decoding Full Text from a Single LLM Token Representation
by: Zhao, Haiyan, et al.
Published: (2025)

In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering
by: Liu, Sheng, et al.
Published: (2023)

X-Eval: Generalizable Multi-aspect Text Evaluation via Augmented Instruction Tuning with Auxiliary Evaluation Aspects
by: Liu, Minqian, et al.
Published: (2023)

IndiText Boost: Text Augmentation for Low Resource India Languages
by: Litake, Onkar, et al.
Published: (2024)

Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding
by: Xiao, Feng, et al.
Published: (2025)

MMGenBench: Fully Automatically Evaluating LMMs from the Text-to-Image Generation Perspective
by: Huang, Hailang, et al.
Published: (2024)

Inductive Entity Representations from Text via Link Prediction
by: Daza, Daniel, et al.
Published: (2020)

Interpretable Discriminative Text Representations via Agreement and Label Disentanglement
by: Wang, Tong, et al.
Published: (2026)

Algorithm Selection with Zero Domain Knowledge via Text Embeddings
by: Szeider, Stefan
Published: (2026)

ChatTraffic: Text-to-Traffic Generation via Diffusion Model
by: Zhang, Chengyang, et al.
Published: (2023)

DeTeCtive: Detecting AI-generated Text via Multi-Level Contrastive Learning
by: Guo, Xun, et al.
Published: (2024)

MT$^{3}$: Scaling MLLM-based Text Image Machine Translation via Multi-Task Reinforcement Learning
by: Feng, Zhaopeng, et al.
Published: (2025)

Ten Words Only Still Help: Improving Black-Box AI-Generated Text Detection via Proxy-Guided Efficient Re-Sampling
by: Shi, Yuhui, et al.
Published: (2024)

GradAlign: Gradient-Aligned Data Selection for LLM Reinforcement Learning
by: Yang, Ningyuan, et al.
Published: (2026)

Medical mT5: An Open-Source Multilingual Text-to-Text LLM for The Medical Domain
by: García-Ferrero, Iker, et al.
Published: (2024)

Scaling up Masked Diffusion Models on Text
by: Nie, Shen, et al.
Published: (2024)

A Survey of Automatic Evaluation Methods on Text, Visual and Speech Generations
by: Lan, Tian, et al.
Published: (2025)

A General Framework for Producing Interpretable Semantic Text Embeddings
by: Sun, Yiqun, et al.
Published: (2024)