Cover Image

Optimizing Multi-Agent Weather Captioning via Text Gradient Descent: A Training-Free Approach with Consensus-Aware Gradient Fusion

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Liu, Shixu
Format:	Preprint
Published:	2026
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

Introducing MAPO: Momentum-Aided Gradient Descent Prompt Optimization
by: Cui, Anthony, et al.
Published: (2024)

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

Steered Generation via Gradient Descent on Sparse Features
by: Bhattacharyya, Sumanta, et al.
Published: (2025)

Mitigating Shortcut Reasoning in Language Models: A Gradient-Aware Training Approach
by: Cao, Hongyu, et al.
Published: (2026)

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

In-context Learning and Gradient Descent Revisited
by: Deutch, Gilad, et al.
Published: (2023)

Enhancing Adversarial Text Attacks on BERT Models with Projected Gradient Descent
by: Waghela, Hetvi, et al.
Published: (2024)

Arc Gradient Descent: A Geometrically Motivated Gradient Descent-based Optimiser with Phase-Aware, User-Controlled Step Dynamics (proof-of-concept)
by: Verma, Nikhil, et al.
Published: (2025)

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

Reversed Attention: On The Gradient Descent Of Attention Layers In GPT
by: Katz, Shahar, et al.
Published: (2024)

Multi-Step Alignment as Markov Games: An Optimistic Online Gradient Descent Approach with Convergence Guarantees
by: Wu, Yongtao, et al.
Published: (2025)

Synthetic Text Generation for Training Large Language Models via Gradient Matching
by: Nguyen, Dang, et al.
Published: (2025)

PatchWorld: Gradient-Free Optimization of Executable World Models
by: Bai, Jiaxin, et al.
Published: (2026)

Improving Retrospective Language Agents via Joint Policy Gradient Optimization
by: Feng, Xueyang, et al.
Published: (2025)

COAP: Memory-Efficient Training with Correlation-Aware Gradient Projection
by: Xiao, Jinqi, et al.
Published: (2024)

Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization
by: Yao, Weiran, et al.
Published: (2023)

Do pretrained Transformers Learn In-Context by Gradient Descent?
by: Shen, Lingfeng, et al.
Published: (2023)

Adversarial Attack on Large Language Models using Exponentiated Gradient Descent
by: Biswas, Sajib, et al.
Published: (2025)

Learn More, Forget Less: A Gradient-Aware Data Selection Approach for LLM
by: Liu, Yibai, et al.
Published: (2025)

Entropy-Gradient Grounding: Training-Free Evidence Retrieval in Vision-Language Models
by: Gröpl, Marcel, et al.
Published: (2026)

QChunker: Learning Question-Aware Text Chunking for Domain RAG via Multi-Agent Debate
by: Zhao, Jihao, et al.
Published: (2026)

Unlocking Decoding-time Controllability: Gradient-Free Multi-Objective Alignment with Contrastive Prompts
by: Fu, Tingchen, et al.
Published: (2024)

GreenTEA: Gradient Descent with Topic-modeling and Evolutionary Auto-prompting
by: Dong, Zheng, et al.
Published: (2025)

GAPrune: Gradient-Alignment Pruning for Domain-Aware Embeddings
by: Tang, Yixuan, et al.
Published: (2025)

DEO: Training-Free Direct Embedding Optimization for Negation-Aware Retrieval
by: Lee, Taegyeong, et al.
Published: (2026)

Eliciting Chain-of-Thought in Base LLMs via Gradient-Based Representation Optimization
by: Wang, Zijian, et al.
Published: (2025)

Accelerating Greedy Coordinate Gradient and General Prompt Optimization via Probe Sampling
by: Zhao, Yiran, et al.
Published: (2024)

Gradient-Informed Training for Low-Resource Multilingual Speech Translation
by: Sun, Ruiyan, et al.
Published: (2026)

Precision or Recall? An Analysis of Image Captions for Training Text-to-Image Generation Model
by: Cheng, Sheng, et al.
Published: (2024)

Text-Only Training for Image Captioning with Retrieval Augmentation and Modality Gap Correction
by: Fonseca, Rui, et al.
Published: (2025)

Context-Preserving Gradient Modulation for Large Language Models: A Novel Approach to Semantic Consistency in Long-Form Text Generation
by: Kobanov, Nirola, et al.
Published: (2025)

Revisiting Image Captioning Training Paradigm via Direct CLIP-based Optimization
by: Moratelli, Nicholas, et al.
Published: (2024)

Multi-Agent Consensus Seeking via Large Language Models
by: Chen, Huaben, et al.
Published: (2023)

Agent-Dice: Disentangling Knowledge Updates via Geometric Consensus for Agent Continual Learning
by: Wu, Zheng, et al.
Published: (2026)

ToxiTrace: Gradient-Aligned Training for Explainable Chinese Toxicity Detection
by: Li, Boyang, et al.
Published: (2026)

Heavy-Tailed Class Imbalance and Why Adam Outperforms Gradient Descent on Language Models
by: Kunstner, Frederik, et al.
Published: (2024)

Causal Intersectionality and Dual Form of Gradient Descent for Multimodal Analysis: a Case Study on Hateful Memes
by: Miyanishi, Yosuke, et al.
Published: (2023)

Training Dynamics of Transformers to Recognize Word Co-occurrence via Gradient Flow Analysis
by: Yang, Hongru, et al.
Published: (2024)

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