Logical Consistency is Vital: Neural-Symbolic Information Retrieval for Negative-Constraint Queries
Fuente:
arXiv
Saved in:
| Main Authors: | Xu, Ganlin, Zhang, Zhoujia, Mei, Wangyi, Liang, Jiaqing, Lu, Weijia, Zhang, Xiaodong, Yang, Zhifei, Ma, Xiaofeng, Xiao, Yanghua, Yang, Deqing |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
ComLQ: Benchmarking Complex Logical Queries in Information Retrieval
by: Xu, Ganlin, et al.
Published: (2025)
by: Xu, Ganlin, et al.
Published: (2025)
What Makes an Ideal Quote? Recommending "Unexpected yet Rational" Quotations via Novelty
by: Zhang, Bowei, et al.
Published: (2025)
by: Zhang, Bowei, et al.
Published: (2025)
GORACS: Group-level Optimal Transport-guided Coreset Selection for LLM-based Recommender Systems
by: Mei, Tiehua, et al.
Published: (2025)
by: Mei, Tiehua, et al.
Published: (2025)
Mixed-initiative Query Rewriting in Conversational Passage Retrieval
by: Yang, Dayu, et al.
Published: (2023)
by: Yang, Dayu, et al.
Published: (2023)
Neuro-Symbolic Query Compiler
by: Zhang, Yuyao, et al.
Published: (2025)
by: Zhang, Yuyao, et al.
Published: (2025)
Exploiting Duality in Open Information Extraction with Predicate Prompt
by: Chen, Zhen, et al.
Published: (2024)
by: Chen, Zhen, et al.
Published: (2024)
Reason to Retrieve: Enhancing Query Understanding through Decomposition and Interpretation
by: Zhong, Yunfei, et al.
Published: (2025)
by: Zhong, Yunfei, et al.
Published: (2025)
Aligned Query Expansion: Efficient Query Expansion for Information Retrieval through LLM Alignment
by: Yang, Adam, et al.
Published: (2025)
by: Yang, Adam, et al.
Published: (2025)
Passage Query Methods for Retrieval and Reranking in Conversational Agents
by: De Lima, Victor, et al.
Published: (2025)
by: De Lima, Victor, et al.
Published: (2025)
Text-Video Retrieval With Global-Local Contrastive Consistency Learning
by: Jing, Xiaolun, et al.
Published: (2026)
by: Jing, Xiaolun, et al.
Published: (2026)
Structure Guided Retrieval-Augmented Generation for Factual Queries
by: Xie, Miao, et al.
Published: (2026)
by: Xie, Miao, et al.
Published: (2026)
Reproducing NevIR: Negation in Neural Information Retrieval
by: Elsen, Coen van den, et al.
Published: (2025)
by: Elsen, Coen van den, et al.
Published: (2025)
Unsupervised Query Routing for Retrieval Augmented Generation
by: Mu, Feiteng, et al.
Published: (2025)
by: Mu, Feiteng, et al.
Published: (2025)
UniFAR: A Unified Facet-Aware Retrieval Framework for Scientific Documents
by: Dou, Zheng, et al.
Published: (2026)
by: Dou, Zheng, et al.
Published: (2026)
RAQG-QPP: Query Performance Prediction with Retrieved Query Variants and Retrieval Augmented Query Generation
by: Tian, Fangzheng, et al.
Published: (2026)
by: Tian, Fangzheng, et al.
Published: (2026)
LevelRAG: Enhancing Retrieval-Augmented Generation with Multi-hop Logic Planning over Rewriting Augmented Searchers
by: Zhang, Zhuocheng, et al.
Published: (2025)
by: Zhang, Zhuocheng, et al.
Published: (2025)
NevIR: Negation in Neural Information Retrieval
by: Weller, Orion, et al.
Published: (2023)
by: Weller, Orion, et al.
Published: (2023)
QE-RAG: A Robust Retrieval-Augmented Generation Benchmark for Query Entry Errors
by: Zhang, Kepu, et al.
Published: (2025)
by: Zhang, Kepu, et al.
Published: (2025)
TriSampler: A Better Negative Sampling Principle for Dense Retrieval
by: Yang, Zhen, et al.
Published: (2024)
by: Yang, Zhen, et al.
Published: (2024)
How Vital is the Jurisprudential Relevance: Law Article Intervened Legal Case Retrieval and Matching
by: Xu, Nuo, et al.
Published: (2025)
by: Xu, Nuo, et al.
Published: (2025)
A Comprehensive Taxonomy of Negation for NLP and Neural Retrievers
by: Petcu, Roxana, et al.
Published: (2025)
by: Petcu, Roxana, et al.
Published: (2025)
Personalize Before Retrieve: LLM-based Personalized Query Expansion for User-Centric Retrieval
by: Zhang, Yingyi, et al.
Published: (2025)
by: Zhang, Yingyi, et al.
Published: (2025)
SymRAG: Efficient Neuro-Symbolic Retrieval Through Adaptive Query Routing
by: Hakim, Safayat Bin, et al.
Published: (2025)
by: Hakim, Safayat Bin, et al.
Published: (2025)
Telco-oRAG: Optimizing Retrieval-augmented Generation for Telecom Queries via Hybrid Retrieval and Neural Routing
by: Bornea, Andrei-Laurentiu, et al.
Published: (2025)
by: Bornea, Andrei-Laurentiu, et al.
Published: (2025)
LLMs as Better Recommenders with Natural Language Collaborative Signals: A Self-Assessing Retrieval Approach
by: Xin, Haoran, et al.
Published: (2025)
by: Xin, Haoran, et al.
Published: (2025)
TCDE: Topic-Centric Dual Expansion of Queries and Documents with Large Language Models for Information Retrieval
by: Yang, Yu, et al.
Published: (2025)
by: Yang, Yu, et al.
Published: (2025)
Reason from Fallacy: Enhancing Large Language Models' Logical Reasoning through Logical Fallacy Understanding
by: Li, Yanda, et al.
Published: (2024)
by: Li, Yanda, et al.
Published: (2024)
Retrieval-Augmented Recommendation Explanation Generation with Hierarchical Aggregation
by: Sun, Bangcheng, et al.
Published: (2025)
by: Sun, Bangcheng, et al.
Published: (2025)
Efficiency-Effectiveness Tradeoff of Probabilistic Structured Queries for Cross-Language Information Retrieval
by: Yang, Eugene, et al.
Published: (2024)
by: Yang, Eugene, et al.
Published: (2024)
Logic Query of Thoughts: Guiding Large Language Models to Answer Complex Logic Queries with Knowledge Graphs
by: Liu, Lihui, et al.
Published: (2024)
by: Liu, Lihui, et al.
Published: (2024)
Query-Aware Graph Neural Networks for Enhanced Retrieval-Augmented Generation
by: Agrawal, Vibhor, et al.
Published: (2025)
by: Agrawal, Vibhor, et al.
Published: (2025)
Improving Neural Retrieval with Attribution-Guided Query Rewriting
by: Garouani, Moncef, et al.
Published: (2026)
by: Garouani, Moncef, et al.
Published: (2026)
Rethinking Retrieval-Augmentation as Synthesis: A Query-Aware Context Merging Approach
by: Guo, Jiarui, et al.
Published: (2026)
by: Guo, Jiarui, et al.
Published: (2026)
Query, Decompose, Compress: Structured Query Expansion for Efficient Multi-Hop Retrieval
by: Yun, JungMin, et al.
Published: (2026)
by: Yun, JungMin, et al.
Published: (2026)
Logic Rules as Explanations for Legal Case Retrieval
by: Sun, Zhongxiang, et al.
Published: (2024)
by: Sun, Zhongxiang, et al.
Published: (2024)
Mamba Retriever: Utilizing Mamba for Effective and Efficient Dense Retrieval
by: Zhang, Hanqi, et al.
Published: (2024)
by: Zhang, Hanqi, et al.
Published: (2024)
SyNeg: LLM-Driven Synthetic Hard-Negatives for Dense Retrieval
by: Li, Xiaopeng, et al.
Published: (2024)
by: Li, Xiaopeng, et al.
Published: (2024)
Revisiting Query Variants: The Advantage of Retrieval Over Generation of Query Variants for Effective QPP
by: Tian, Fangzheng, et al.
Published: (2025)
by: Tian, Fangzheng, et al.
Published: (2025)
Learning to Select: Query-Aware Adaptive Dimension Selection for Dense Retrieval
by: Wu, Zhanyu, et al.
Published: (2026)
by: Wu, Zhanyu, et al.
Published: (2026)
Backtracing: Retrieving the Cause of the Query
by: Wang, Rose E., et al.
Published: (2024)
by: Wang, Rose E., et al.
Published: (2024)
Similar Items
-
ComLQ: Benchmarking Complex Logical Queries in Information Retrieval
by: Xu, Ganlin, et al.
Published: (2025) -
What Makes an Ideal Quote? Recommending "Unexpected yet Rational" Quotations via Novelty
by: Zhang, Bowei, et al.
Published: (2025) -
GORACS: Group-level Optimal Transport-guided Coreset Selection for LLM-based Recommender Systems
by: Mei, Tiehua, et al.
Published: (2025) -
Mixed-initiative Query Rewriting in Conversational Passage Retrieval
by: Yang, Dayu, et al.
Published: (2023) -
Neuro-Symbolic Query Compiler
by: Zhang, Yuyao, et al.
Published: (2025)