Retrieval-Augmented Reasoning

Latest papers

27 papers3 papers in the last four weeks, level with the four weeks before. 0.0% of all new papers.

MemeLogos: Knowledge-Driven Retrieval-Augmented Reasoning for Harmful Meme Detection
Oct 11, 2026Hexiang Gu, Saihui Hou, Changlan Liu +4Retrieval-Augmented Reasoning Harmful Meme Detection
Beijing University of Posts and Telecommunications, Beijing 100876, China · the School of Artificial Intelligence, Beijing Normal University, Beijing 100875, China · the College of Electrical Engineering, Zhejiang University, Zhejiang 310027, China +2
Investigating the Role of Reasoning-Language Alignment in Monolingual Retrieval-Augmented Generation
Oct 2, 2026Oliver Hauck, Mario Sanz-Guerrero, Katharina von der WenseCross-Lingual Reasoning in Language Models Retrieval-Augmented Reasoning
Johannes Gutenberg University Mainz, Germany
Learning to Retrieve Missing Evidence for Long-Term Memory QA
Sep 29, 2026Yi-Xuan Deng, Yi Zhang, Wei Liu +2Question Answering Long-Term Conversational Memory
Tsinghua University
PRO-Step: Step-level Process Reward Optimization for Retrieval-Augmented Generation
Aug 31, 2026MinKeon Kim, Namjun Lee, Jaekwang KimRetrieval-Augmented Generation Retrieval-Augmented Reasoning
Department of Applied Artificial Intelligence, Convergence Program for Social Innovation, Sungkyunkwan University, Seoul, South Korea
GTA-RAG: Graph-Trajectory-Augmented Reinforcement Learning for Multi-Turn Retrieval-Augmented Reasoning
Aug 23, 2026Jun Chen, Yongchao Liu, Pengyu Qiu +6Multi-Hop QA Agentic RAG
1Shenzhen University, Shenzhen, China · 2Great Bay University, Dongguan, China · 3Ant Group, Hangzhou, China +1
GRIP: Grounded Reasoning via Information-Restricted Premises
Aug 17, 2026Lirui TengRetrieval-Augmented Generation LLM Grounding
University of Waterloo, Waterloo ON, Canada
ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling
Aug 11, 2026Vaibhav Singh, Soumya Suvra Ghosal, Sarvesh Gharat +3Numerical Reasoning in Language Models Retrieval-Augmented Reasoning
IIT Bombay · University of Maryland, College Park · Adobe Research
CheckRLM: Effective Knowledge-Thought Coherence Checking in Retrieval-Augmented Reasoning
Jul 2, 2026Dingling Xu, Ruobing Wang, Qingfei Zhao +8Retrieval-Augmented Reasoning LLM Reliability
School of Artificial Intelligence, Beijing Normal University, Beijing 100875, China · Beijing Key Laboratory of Artificial Intelligence for Education, Beijing 100875, China · Institute of Information Engineering, Chinese Academy of Sciences +3
Only Ask What You Don't Know: Grounded Delta Planning for Efficient Multi-step RAG
Jun 21, 2026Wei-Chieh Chou, Xuanjun Chen, Jian-Ren Lin +3Multi-Hop QA Retrieval-Augmented Generation
Dept. of Computer Science and Information Engineering, National Taiwan University · Graduate Institute of Communication Engineering, National Taiwan University · Department of Economics, National Taiwan University +2
Learning to Reason by Analogy via Retrieval-Augmented Reinforcement Fine-Tuning
Jun 11, 2026Zilin Xiao, Qi Ma, Chun-cheng Jason Chen +4Analogical Reasoning RL for Language Model Reasoning
Meta Superintelligence Labs · Rice University · Work partially done during internship at Meta
Self-Augmenting Retrieval for Diffusion Language Models
Jun 4, 2026Paul Jünger, Justin Lovelace, Linxi Zhao +2Adaptive RAG Retrieval-Augmented Generation
Department of Computer Science, Cornell University.
MoG: Mixture of Experts for Graph-based Retrieval-Augmented Generation
May 29, 2026Zheng Yuan, Chuang Zhou, Linhao Luo +4Retrieval-Augmented Generation Graph Retrieval-Augmented Generation
The Hong Kong Polytechnic University · Monash University · Tencent Youtu Lab
Retrieval is Cheap, Show Me the Code: Executable Multi-Hop Reasoning for Retrieval-Augmented Generation
May 13, 2026Jiashuo Sun, Jimeng Shi, Yixuan Xie +10Multi-Hop QA Retrieval-Augmented Generation
University of Illinois Urbana-Champaign · Hong Kong University of Science and Technology · Texas A&M University +1
AgenticRAG: Agentic Retrieval for Enterprise Knowledge Bases
May 7, 2026Susheel Suresh, Hazel Mak, Shangpo Chou +2Knowledge-Intensive QA Agentic Search
Microsoft Corporation
RAG over Thinking Traces Can Improve Reasoning Tasks
May 5, 2026Negar Arabzadeh, Wenjie Ma, Sewon Min +1Retrieval-Augmented Generation Retrieval-Augmented Reasoning
University of California, Berkeley
When to Retrieve During Reasoning: Adaptive Retrieval for Large Reasoning Models
Apr 29, 2026Dongxin Guo, Jikun Wu, Siu Ming YiuRetrieval-Augmented Generation Retrieval-Augmented Reasoning
The University of Hong Kong Hong Kong, China · Brain Investing Limited Hong Kong, China · Stellaris AI Limited Hong Kong, China
OASIS: On-Demand Hierarchical Event Memory for Streaming Video Reasoning
Apr 18, 2026Zhijia Liang, Jiaming Li, Weikai Chen +3Streaming Video Understanding Retrieval-Augmented Reasoning
Sun Yat-sen University · OPPO AI Center · Shenzhen Loop Area Institute +1
Retrieval as Generation: A Unified Framework with Self-Triggered Information Planning
Apr 13, 2026Bo Li, Mingda Wang, Gexiang Fang +2Retrieval-Augmented Generation Adaptive RAG
National Engineering Research Center for Software Engineering, Peking University · School of Computer Science, Peking University · School of Health Sciences and Biomedical Engineering, Hebei University of Technology
When Meaning Isn't Literal: Exploring Idiomatic Meaning Across Languages and Modalities
Apr 12, 2026Sarmistha Das, Shreyas Guha, Suvrayan Bandyopadhyay +3Retrieval-Augmented Reasoning Figurative Language Understanding
Department of Computer Science and Engineering, Indian Institute of Technology Patna, Patna, India · School of Information Technology, King Mongkut’s Institute of Technology Ladkrabang, Bangkok, Thailand
RecaLLM: Addressing the Lost-in-Thought Phenomenon with Explicit In-Context Retrieval
Apr 10, 2026Kyle Whitecross, Negin RahimiRetrieval-Augmented Reasoning Long-Context Reasoning in Language Models
University of Massachusetts Amherst
Beyond the Parameters: A Technical Survey of Contextual Enrichment in Large Language Models: From In-Context Prompting to Causal Retrieval-Augmented Generation
Apr 3, 2026Prakhar Bansal, Shivangi AgarwalKnowledge Augmentation for Language Models Retrieval-Augmented Generation
Procedural Knowledge at Scale Improves Reasoning
Apr 1, 2026Di Wu, Devendra Singh Sachan, Wen-tau Yih +1Retrieval-Augmented Reasoning LLM Reasoning
University of California, Los Angeles · Meta FAIR
PAR $^2$ -RAG: Planned Active Retrieval and Reasoning for Multi-Hop Question Answering
Mar 30, 2026Xingyu Li, Rongguang Wang, Yuying Wang +5Multi-Hop QA Retrieval-Augmented Generation
Oracle AI
GroupRAG: Cognitively Inspired Group-Aware Retrieval and Reasoning via Knowledge-Driven Problem Structuring
Mar 26, 2026Xinyi Duan, Yuanrong Tang, Jiangtao GongRetrieval-Augmented Reasoning Retrieval-Augmented Generation
Tsinghua University
Evaluate-as-Action: Self-Evaluated Process Rewards for Retrieval-Augmented Agents
Mar 10, 2026Jiangming Shu, Yuxiang Zhang, Ye Ma +2Retrieval-Augmented Reasoning Agentic RAG
School of Computer Science and Technology, Beijing Jiaotong University · Hithink Research
StratRAG: A Multi-Hop Retrieval Evaluation Dataset for Retrieval-Augmented Generation Systems
Mar 6, 2026Aryan PatodiyaRAG Evaluation Retrieval-Augmented Reasoning
Department of Computer Science, California State University, Fresno, Fresno, CA, USA
AutoPrunedRetriever: Persistent Reasoning Graphs for Efficient and Extensible Retrieval-Augmented Generation
Feb 4, 2026Ning Wang, Kuanyan Zhu, Daniel Yuehwoon Yee +4Retrieval-Augmented Generation Graph Retrieval-Augmented Generation
Cornell University · University of Cambridge · The University of Hong Kong +2

Oct 11, 2026J/K move · Enter open · S save

MemeLogos: Knowledge-Driven Retrieval-Augmented Reasoning for Harmful Meme Detection

Hexiang Gu, Saihui Hou, Changlan Liu, Min Ren+3

Beijing University of Posts and Telecommunications, Beijing 100876, China · the School of Artificial Intelligence, Beijing Normal University, Beijing 100875, China · the College of Electrical Engineering, Zhejiang University, Zhejiang 310027, China+2

Retrieval-Augmented Reasoning Harmful Meme Detection Multimodal Reasoning

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With the rapid proliferation of social media, harmful memes have become a growing threat to online ecosystems. Their harmfulness is often implicitly conveyed through complex interactions among visual, textual, and contextual cues, making accurate detection challenging. Recent studies have introduced Retrieval-Augmented Generation (RAG) and external knowledge into harmful meme detection. However, existing methods mainly retrieve similar instances or auxiliary information, limiting their ability to capture reusable harmfulness knowledge and underlying reasoning mechanisms, and thus constraining both detection performance and interpretability. To address these challenges, we propose MemeLogos, a knowledge-driven retrieval-augmented reasoning framework for harmful meme detection. MemeLogos abstracts recurring harmfulness patterns and reasoning structures from diverse harmful cases into reusable knowledge units and organizes them into a dedicated star-shaped knowledge graph. By combining structured knowledge retrieval with an explicit multi-stage reasoning process inspired by cognitive mechanisms, MemeLogos leverages retrieved knowledge to guide harmfulness reasoning, improving both detection reliability and interpretability. Extensive experiments show that MemeLogos consistently outperforms existing harmful meme detection methods while generating more coherent and interpretable reasoning, demonstrating the effectiveness of structured harmfulness knowledge for multimodal content understanding.