Cover Image

Examples as the Prompt: A Scalable Approach for Efficient LLM Adaptation in E-Commerce

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zeng, Jingying, Dai, Zhenwei, Liu, Hui, Varshney, Samarth, Liu, Zhiji, Luo, Chen, Li, Zhen, He, Qi, Tang, Xianfeng
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Cite Before You Speak: Enhancing Context-Response Grounding in E-commerce Conversational LLM-Agents
by: Zeng, Jingying, et al.
Published: (2025)

A General Framework to Enhance Fine-tuning-based LLM Unlearning
by: Ren, Jie, et al.
Published: (2025)

To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems
by: He, Pengfei, et al.
Published: (2025)

Stepwise Perplexity-Guided Refinement for Efficient Chain-of-Thought Reasoning in Large Language Models
by: Cui, Yingqian, et al.
Published: (2025)

AgentTTS: Large Language Model Agent for Test-time Compute-optimal Scaling Strategy in Complex Tasks
by: Wang, Fali, et al.
Published: (2025)

Keeping an Eye on LLM Unlearning: The Hidden Risk and Remedy
by: Ren, Jie, et al.
Published: (2025)

Bradley-Terry and Multi-Objective Reward Modeling Are Complementary
by: Zhang, Zhiwei, et al.
Published: (2025)

Adaptive Test-Time Reasoning via Reward-Guided Dual-Phase Search
by: Cui, Yingqian, et al.
Published: (2025)

A Survey of Calibration Process for Black-Box LLMs
by: Xie, Liangru, et al.
Published: (2024)

How Do Latent Reasoning Methods Perform Under Weak and Strong Supervision?
by: Cui, Yingqian, et al.
Published: (2026)

How Far are LLMs from Real Search? A Comprehensive Study on Efficiency, Completeness, and Inherent Capabilities
by: Lin, Minhua, et al.
Published: (2025)

Transferable Modeling Strategies for Low-Resource LLM Tasks: A Prompt and Alignment-Based Approach
by: Lyu, Shuangquan, et al.
Published: (2025)

Unlocking Efficient, Scalable, and Continual Knowledge Editing with Basis-Level Representation Fine-Tuning
by: Liu, Tianci, et al.
Published: (2025)

LLM Lies: Hallucinations are not Bugs, but Features as Adversarial Examples
by: Yao, Jia-Yu, et al.
Published: (2023)

SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains
by: Xu, Ran, et al.
Published: (2024)

Shopping Companion: Benchmarking and Training LLM Agents for Long-Horizon Preference-Grounded E-Commerce Tasks
by: Yu, Zijian, et al.
Published: (2026)

Criterion Validity of LLM-as-Judge for Business Outcomes in Conversational Commerce
by: Chen, Liang, et al.
Published: (2026)

Concept-Based Interpretability for Toxicity Detection
by: Garg, Samarth, et al.
Published: (2025)

Catastrophic Failure of LLM Unlearning via Quantization
by: Zhang, Zhiwei, et al.
Published: (2024)

Harnessing the Unseen: The Hidden Influence of Intrinsic Knowledge in Long-Context Language Models
by: Fu, Yu, et al.
Published: (2025)

Quality Over Clicks: Intrinsic Quality-Driven Iterative Reinforcement Learning for Cold-Start E-Commerce Query Suggestion
by: Sun, Qi, et al.
Published: (2026)

Efficient Long CoT Reasoning in Small Language Models
by: Wang, Zhaoyang, et al.
Published: (2025)

Investigating LLM Applications in E-Commerce
by: Palen-Michel, Chester, et al.
Published: (2024)

Reasoning with Graphs: Structuring Implicit Knowledge to Enhance LLMs Reasoning
by: Han, Haoyu, et al.
Published: (2025)

SMILES-Prompting: A Novel Approach to LLM Jailbreak Attacks in Chemical Synthesis
by: Wong, Aidan, et al.
Published: (2024)

Firefly: Illuminating Large-Scale Verified Tool-Call Data Generation from Real APIs
by: Lu, Yuxuan, et al.
Published: (2026)

Domain Adaptation of Foundation LLMs for e-Commerce
by: Herold, Christian, et al.
Published: (2025)

Beyond Text: Unveiling Privacy Vulnerabilities in Multi-modal Retrieval-Augmented Generation
by: Zhang, Jiankun, et al.
Published: (2025)

Unlocking the Power of Multi-Agent LLM for Reasoning: From Lazy Agents to Deliberation
by: Zhang, Zhiwei, et al.
Published: (2025)

PANDA: Prompt Transfer Meets Knowledge Distillation for Efficient Model Adaptation
by: Zhong, Qihuang, et al.
Published: (2022)

Mitigating Heterogeneous Token Overfitting in LLM Knowledge Editing
by: Liu, Tianci, et al.
Published: (2025)

A Theoretical Understanding of Chain-of-Thought: Coherent Reasoning and Error-Aware Demonstration
by: Cui, Yingqian, et al.
Published: (2024)

98$\times$ Faster LLM Routing Without a Dedicated GPU: Flash Attention, Prompt Compression, and Near-Streaming for the vLLM Semantic Router
by: Liu, Xunzhuo, et al.
Published: (2026)

A Comprehensive Survey on Reinforcement Learning-based Agentic Search: Foundations, Roles, Optimizations, Evaluations, and Applications
by: Lin, Minhua, et al.
Published: (2025)

Systematic Evaluation of LLM-as-a-Judge in LLM Alignment Tasks: Explainable Metrics and Diverse Prompt Templates
by: Wei, Hui, et al.
Published: (2024)

Explainable LLM-driven Multi-dimensional Distillation for E-Commerce Relevance Learning
by: Zhao, Gang, et al.
Published: (2024)

m1: Unleash the Potential of Test-Time Scaling for Medical Reasoning with Large Language Models
by: Huang, Xiaoke, et al.
Published: (2025)

An Annotated Reading of 'The Singer of Tales' in the LLM Era
by: Varshney, Kush R.
Published: (2025)

LUNE: Efficient LLM Unlearning via LoRA Fine-Tuning with Negative Examples
by: Liu, Yezi, et al.
Published: (2025)

A Multimodal In-Context Tuning Approach for E-Commerce Product Description Generation
by: Li, Yunxin, et al.
Published: (2024)