Cover Image

TRAD: Enhancing LLM Agents with Step-Wise Thought Retrieval and Aligned Decision

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhou, Ruiwen, Yang, Yingxuan, Wen, Muning, Wen, Ying, Wang, Wenhao, Xi, Chunling, Xu, Guoqiang, Yu, Yong, Zhang, Weinan
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence Computation and Language Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

AlignRec: Aligning and Training in Multimodal Recommendations
by: Liu, Yifan, et al.
Published: (2024)

Bursting Filter Bubble: Enhancing Serendipity Recommendations with Aligned Large Language Models
by: Xi, Yunjia, et al.
Published: (2025)

Personalize Before Retrieve: LLM-based Personalized Query Expansion for User-Centric Retrieval
by: Zhang, Yingyi, et al.
Published: (2025)

To Search or Not to Search: Aligning the Decision Boundary of Deep Search Agents via Causal Intervention
by: Zhang, Wenlin, et al.
Published: (2026)

DynaTree: Dynamic Agentic Retrieval Tree for Time-Sensitive News Retrieval
by: Qi, Siyuan, et al.
Published: (2026)

Look into the Future: Deep Contextualized Sequential Recommendation
by: Zheng, Lei, et al.
Published: (2024)

AgentPRM: Process Reward Models for LLM Agents via Step-Wise Promise and Progress
by: Xi, Zhiheng, et al.
Published: (2025)

Integrating Chain-of-Thought into Generative Retrieval: A Preliminary Study
by: Zhang, Wenhao, et al.
Published: (2026)

Retrieval-Augmented Process Reward Model for Generalizable Mathematical Reasoning
by: Zhu, Jiachen, et al.
Published: (2025)

Reason-to-Recommend: Using Interaction-of-Thought Reasoning to Enhance LLM Recommendation
by: Zhao, Keyu, et al.
Published: (2025)

D2K: Turning Historical Data into Retrievable Knowledge for Recommender Systems
by: Qin, Jiarui, et al.
Published: (2024)

Evoking User Memory: Personalizing LLM via Recollection-Familiarity Adaptive Retrieval
by: Zhang, Yingyi, et al.
Published: (2026)

Unleashing the Potential of Multi-Channel Fusion in Retrieval for Personalized Recommendations
by: Huang, Junjie, et al.
Published: (2024)

AgentGR: Semantic-aware Agentic Group Decision-Making Simulator for Group Recommendation
by: Zhou, Yangtao, et al.
Published: (2026)

Beyond Similarity: Task-Aligned Retrieval for Language Models
by: Sun, Zhixing, et al.
Published: (2026)

SPAR: Scholar Paper Retrieval with LLM-based Agents for Enhanced Academic Search
by: Shi, Xiaofeng, et al.
Published: (2025)

A Comprehensive Survey on Retrieval Methods in Recommender Systems
by: Huang, Junjie, et al.
Published: (2024)

FINED: Feed Instance-Wise Information Need with Essential and Disentangled Parametric Knowledge from the Past
by: Du, Kounianhua, et al.
Published: (2024)

Aligned Query Expansion: Efficient Query Expansion for Information Retrieval through LLM Alignment
by: Yang, Adam, et al.
Published: (2025)

Retrieval and Distill: A Temporal Data Shift-Free Paradigm for Online Recommendation System
by: Zheng, Lei, et al.
Published: (2024)

Learning to Retrieve from Agent Trajectories
by: Zhou, Yuqi, et al.
Published: (2026)

Superplatforms Have to Attack AI Agents
by: Lin, Jianghao, et al.
Published: (2025)

Beyond Text: Aligning Vision and Language for Multimodal E-Commerce Retrieval
by: Zhang, Qujiaheng, et al.
Published: (2026)

Efficiency Unleashed: Inference Acceleration for LLM-based Recommender Systems with Speculative Decoding
by: Xi, Yunjia, et al.
Published: (2024)

A Survey of LLM-based Deep Search Agents: Paradigm, Optimization, Evaluation, and Challenges
by: Xi, Yunjia, et al.
Published: (2025)

Enhancing LLM-based Recommendation through Semantic-Aligned Collaborative Knowledge
by: Wang, Zihan, et al.
Published: (2025)

DARE: Aligning LLM Agents with the R Statistical Ecosystem via Distribution-Aware Retrieval
by: Sun, Maojun, et al.
Published: (2026)

Thought-Retriever: Don't Just Retrieve Raw Data, Retrieve Thoughts for Memory-Augmented Agentic Systems
by: Feng, Tao, et al.
Published: (2026)

Thought-Augmented Planning for LLM-Powered Interactive Recommender Agent
by: Yu, Haocheng, et al.
Published: (2025)

Mixture-of-Experts Knowledge Graph Retrieval-Augmented Generation for Multi-Agent LLM-based Recommendation
by: Wang, Shijie, et al.
Published: (2026)

Optimizing Retrieval Components for a Shared Backbone via Component-Wise Multi-Stage Training
by: Li, Yunhan, et al.
Published: (2026)

CAPTS: Channel-Aware, Preference-Aligned Trigger Selection for Multi-Channel Item-to-Item Retrieval
by: Zhou, Xiaoyou, et al.
Published: (2026)

SRLF: An Agent-Driven Set-Wise Reflective Learning Framework for Sequential Recommendation
by: Wang, Jiahao, et al.
Published: (2025)

vstash: Local-First Hybrid Retrieval with Adaptive Fusion for LLM Agents
by: Steffens, Jayson
Published: (2026)

Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents Integration
by: Dai, Sunhao, et al.
Published: (2024)

Leveraging Memory Retrieval to Enhance LLM-based Generative Recommendation
by: Wang, Chengbing, et al.
Published: (2024)

Template-Based Financial Report Generation in Agentic and Decomposed Information Retrieval
by: Tian, Yong-En, et al.
Published: (2025)

AlignUSER: Human-Aligned LLM Agents via World Models for Recommender System Evaluation
by: Bougie, Nicolas, et al.
Published: (2026)

MemoCRS: Memory-enhanced Sequential Conversational Recommender Systems with Large Language Models
by: Xi, Yunjia, et al.
Published: (2024)

Youtu-GraphRAG: Vertically Unified Agents for Graph Retrieval-Augmented Complex Reasoning
by: Dong, Junnan, et al.
Published: (2025)