Saved in:
| Main Authors: | Zhou, Wenjie, Ding, Zhenxin, Zhang, Xiaodong, Shi, Haibo, Wang, Junfeng, Yin, Dawei |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2405.03764 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Proactive Guidance of Multi-Turn Conversation in Industrial Search
by: Li, Xiaoyu, et al.
Published: (2025)
by: Li, Xiaoyu, et al.
Published: (2025)
Improving Retrieval-Augmented Generation through Multi-Agent Reinforcement Learning
by: Chen, Yiqun, et al.
Published: (2025)
by: Chen, Yiqun, et al.
Published: (2025)
Leveraging Generative Models for Real-Time Query-Driven Text Summarization in Large-Scale Web Search
by: Xiong, Zeyu, et al.
Published: (2025)
by: Xiong, Zeyu, et al.
Published: (2025)
Distillation Enhanced Generative Retrieval
by: Li, Yongqi, et al.
Published: (2024)
by: Li, Yongqi, et al.
Published: (2024)
MAO-ARAG: Multi-Agent Orchestration for Adaptive Retrieval-Augmented Generation
by: Chen, Yiqun, et al.
Published: (2025)
by: Chen, Yiqun, et al.
Published: (2025)
Thinking Forward and Backward: Multi-Objective Reinforcement Learning for Retrieval-Augmented Reasoning
by: Wei, Wenda, et al.
Published: (2025)
by: Wei, Wenda, et al.
Published: (2025)
RAG-Enhanced Large Language Models for Dynamic Content Expiration Prediction in Web Search
by: Chen, Tingyu, et al.
Published: (2026)
by: Chen, Tingyu, et al.
Published: (2026)
Distilling a Small Utility-Based Passage Selector to Enhance Retrieval-Augmented Generation
by: Zhang, Hengran, et al.
Published: (2025)
by: Zhang, Hengran, et al.
Published: (2025)
Large Language Model-Powered Query-Driven Event Timeline Summarization in Industrial Search
by: Wang, Mingyue, et al.
Published: (2026)
by: Wang, Mingyue, et al.
Published: (2026)
Agentic-R: Learning to Retrieve for Agentic Search
by: Liu, Wenhan, et al.
Published: (2026)
by: Liu, Wenhan, et al.
Published: (2026)
Information Discovery in e-Commerce
by: Ren, Zhaochun, et al.
Published: (2024)
by: Ren, Zhaochun, et al.
Published: (2024)
TourRank: Utilizing Large Language Models for Documents Ranking with a Tournament-Inspired Strategy
by: Chen, Yiqun, et al.
Published: (2024)
by: Chen, Yiqun, et al.
Published: (2024)
CSPLADE: Learned Sparse Retrieval with Causal Language Models
by: Xu, Zhichao, et al.
Published: (2025)
by: Xu, Zhichao, et al.
Published: (2025)
Retrieval Models Aren't Tool-Savvy: Benchmarking Tool Retrieval for Large Language Models
by: Shi, Zhengliang, et al.
Published: (2025)
by: Shi, Zhengliang, et al.
Published: (2025)
CoRanking: Collaborative Ranking with Small and Large Ranking Agents
by: Liu, Wenhan, et al.
Published: (2025)
by: Liu, Wenhan, et al.
Published: (2025)
Sliding Windows Are Not the End: Exploring Full Ranking with Long-Context Large Language Models
by: Liu, Wenhan, et al.
Published: (2024)
by: Liu, Wenhan, et al.
Published: (2024)
LEAF: Knowledge Distillation of Text Embedding Models with Teacher-Aligned Representations
by: Vujanic, Robin, et al.
Published: (2025)
by: Vujanic, Robin, et al.
Published: (2025)
Exploring Training and Inference Scaling Laws in Generative Retrieval
by: Cai, Hongru, et al.
Published: (2025)
by: Cai, Hongru, et al.
Published: (2025)
Prospect Personalized Recommendation on Large Language Model-based Agent Platform
by: Zhang, Jizhi, et al.
Published: (2024)
by: Zhang, Jizhi, et al.
Published: (2024)
Large Language Models' Detection of Political Orientation in Newspapers
by: Buscemi, Alessio, et al.
Published: (2024)
by: Buscemi, Alessio, et al.
Published: (2024)
Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents
by: Sun, Weiwei, et al.
Published: (2023)
by: Sun, Weiwei, et al.
Published: (2023)
Towards Completeness-Oriented Tool Retrieval for Large Language Models
by: Qu, Changle, et al.
Published: (2024)
by: Qu, Changle, et al.
Published: (2024)
StepChain GraphRAG: Reasoning Over Knowledge Graphs for Multi-Hop Question Answering
by: Ni, Tengjun, et al.
Published: (2025)
by: Ni, Tengjun, et al.
Published: (2025)
PairDistill: Pairwise Relevance Distillation for Dense Retrieval
by: Huang, Chao-Wei, et al.
Published: (2024)
by: Huang, Chao-Wei, et al.
Published: (2024)
GenCRF: Generative Clustering and Reformulation Framework for Enhanced Intent-Driven Information Retrieval
by: Seo, Wonduk, et al.
Published: (2024)
by: Seo, Wonduk, et al.
Published: (2024)
Utility-Focused LLM Annotation for Retrieval and Retrieval-Augmented Generation
by: Zhang, Hengran, et al.
Published: (2025)
by: Zhang, Hengran, et al.
Published: (2025)
Unleashing the Power of LLMs in Dense Retrieval with Query Likelihood Modeling
by: Zhang, Hengran, et al.
Published: (2025)
by: Zhang, Hengran, et al.
Published: (2025)
A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models
by: Fan, Wenqi, et al.
Published: (2024)
by: Fan, Wenqi, et al.
Published: (2024)
LLM-Specific Utility: A New Perspective for Retrieval-Augmented Generation
by: Zhang, Hengran, et al.
Published: (2025)
by: Zhang, Hengran, et al.
Published: (2025)
Unveiling the Magic: Investigating Attention Distillation in Retrieval-augmented Generation
by: Li, Zizhong, et al.
Published: (2024)
by: Li, Zizhong, et al.
Published: (2024)
MMREC: LLM Based Multi-Modal Recommender System
by: Tian, Jiahao, et al.
Published: (2024)
by: Tian, Jiahao, et al.
Published: (2024)
RDRec: Rationale Distillation for LLM-based Recommendation
by: Wang, Xinfeng, et al.
Published: (2024)
by: Wang, Xinfeng, et al.
Published: (2024)
Translate-Distill: Learning Cross-Language Dense Retrieval by Translation and Distillation
by: Yang, Eugene, et al.
Published: (2024)
by: Yang, Eugene, et al.
Published: (2024)
CoMAC: Conversational Agent for Multi-Source Auxiliary Context with Sparse and Symmetric Latent Interactions
by: Liu, Junfeng, et al.
Published: (2025)
by: Liu, Junfeng, et al.
Published: (2025)
Optimizing Retrieval for RAG via Reinforcement Learning
by: Zhou, Jiawei, et al.
Published: (2025)
by: Zhou, Jiawei, et al.
Published: (2025)
Data-CUBE: Data Curriculum for Instruction-based Sentence Representation Learning
by: Min, Yingqian, et al.
Published: (2024)
by: Min, Yingqian, et al.
Published: (2024)
Explainable LLM-driven Multi-dimensional Distillation for E-Commerce Relevance Learning
by: Zhao, Gang, et al.
Published: (2024)
by: Zhao, Gang, et al.
Published: (2024)
M-RAG: Reinforcing Large Language Model Performance through Retrieval-Augmented Generation with Multiple Partitions
by: Wang, Zheng, et al.
Published: (2024)
by: Wang, Zheng, et al.
Published: (2024)
Distillation for Multilingual Information Retrieval
by: Yang, Eugene, et al.
Published: (2024)
by: Yang, Eugene, et al.
Published: (2024)
Dynamic Sentiment Analysis with Local Large Language Models using Majority Voting: A Study on Factors Affecting Restaurant Evaluation
by: Niimi, Junichiro
Published: (2024)
by: Niimi, Junichiro
Published: (2024)
Similar Items
-
Proactive Guidance of Multi-Turn Conversation in Industrial Search
by: Li, Xiaoyu, et al.
Published: (2025) -
Improving Retrieval-Augmented Generation through Multi-Agent Reinforcement Learning
by: Chen, Yiqun, et al.
Published: (2025) -
Leveraging Generative Models for Real-Time Query-Driven Text Summarization in Large-Scale Web Search
by: Xiong, Zeyu, et al.
Published: (2025) -
Distillation Enhanced Generative Retrieval
by: Li, Yongqi, et al.
Published: (2024) -
MAO-ARAG: Multi-Agent Orchestration for Adaptive Retrieval-Augmented Generation
by: Chen, Yiqun, et al.
Published: (2025)