Adaptive Retrieval for Reasoning-Intensive Retrieval
Fuente:
arXiv
Saved in:
| Main Authors: | Kim, Jongho, Kim, Jaeyoung, Hwang, Seung-won, Kim, Jihyuk, Kim, Yu Jin, Lee, Moontae |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
UnIte: Uncertainty-based Iterative Document Sampling for Domain Adaptation in Information Retrieval
by: Kim, Jongyoon, et al.
Published: (2026)
by: Kim, Jongyoon, et al.
Published: (2026)
ListT5: Listwise Reranking with Fusion-in-Decoder Improves Zero-shot Retrieval
by: Yoon, Soyoung, et al.
Published: (2024)
by: Yoon, Soyoung, et al.
Published: (2024)
On Listwise Reranking for Corpus Feedback
by: Yoon, Soyoung, et al.
Published: (2025)
by: Yoon, Soyoung, et al.
Published: (2025)
From Token to Action: State Machine Reasoning to Mitigate Overthinking in Information Retrieval
by: Lee, Dohyeon, et al.
Published: (2025)
by: Lee, Dohyeon, et al.
Published: (2025)
Analyzing the Effectiveness of Listwise Reranking with Positional Invariance on Temporal Generalizability
by: Yoon, Soyoung, et al.
Published: (2024)
by: Yoon, Soyoung, et al.
Published: (2024)
ECoRAG: Evidentiality-guided Compression for Long Context RAG
by: Jeong, Yeonseok, et al.
Published: (2025)
by: Jeong, Yeonseok, et al.
Published: (2025)
AcuRank: Uncertainty-Aware Adaptive Computation for Listwise Reranking
by: Yoon, Soyoung, et al.
Published: (2025)
by: Yoon, Soyoung, et al.
Published: (2025)
LegalSearchLM: Rethinking Legal Case Retrieval as Legal Elements Generation
by: Kim, Chaeeun, et al.
Published: (2025)
by: Kim, Chaeeun, et al.
Published: (2025)
Optimizing Query Generation for Enhanced Document Retrieval in RAG
by: Koo, Hamin, et al.
Published: (2024)
by: Koo, Hamin, et al.
Published: (2024)
Hierarchical Retrieval with Evidence Curation for Open-Domain Financial Question Answering on Standardized Documents
by: Choe, Jaeyoung, et al.
Published: (2025)
by: Choe, Jaeyoung, et al.
Published: (2025)
Optimizing Retrieval Strategies for Financial Question Answering Documents in Retrieval-Augmented Generation Systems
by: Kim, Sejong, et al.
Published: (2025)
by: Kim, Sejong, et al.
Published: (2025)
Retrieve Only Relevant Tables Whether Few or Many: Adaptive Table Retrieval Method
by: Kim, Taehee, et al.
Published: (2026)
by: Kim, Taehee, et al.
Published: (2026)
Retrieval Collapses When AI Pollutes the Web
by: Yu, Hongyeon, et al.
Published: (2026)
by: Yu, Hongyeon, et al.
Published: (2026)
A Gradient Accumulation Method for Dense Retriever under Memory Constraint
by: Kim, Jaehee, et al.
Published: (2024)
by: Kim, Jaehee, et al.
Published: (2024)
Shifting from Ranking to Set Selection for Retrieval Augmented Generation
by: Lee, Dahyun, et al.
Published: (2025)
by: Lee, Dahyun, et al.
Published: (2025)
IRA: Adaptive Interest-aware Representation and Alignment for Personalized Multi-interest Retrieval
by: Lee, Youngjune, et al.
Published: (2025)
by: Lee, Youngjune, et al.
Published: (2025)
RRRA: Resampling and Reranking through a Retriever Adapter
by: Kim, Bongsu
Published: (2025)
by: Kim, Bongsu
Published: (2025)
When Should Dense Retrievers Be Updated in Evolving Corpora? Detecting Out-of-Distribution Corpora Using GradNormIR
by: Ko, Dayoon, et al.
Published: (2025)
by: Ko, Dayoon, et al.
Published: (2025)
MARC: Multimodal and Multi-Task Agentic Retrieval-Augmented Generation for Cold-Start Recommender System
by: Cho, Seung Hwan, et al.
Published: (2025)
by: Cho, Seung Hwan, et al.
Published: (2025)
Empowering Retrieval-based Conversational Recommendation with Contrasting User Preferences
by: Kook, Heejin, et al.
Published: (2025)
by: Kook, Heejin, et al.
Published: (2025)
ItemRAG: Item-Based Retrieval-Augmented Generation for LLM-Based Recommendation
by: Kim, Sunwoo, et al.
Published: (2025)
by: Kim, Sunwoo, et al.
Published: (2025)
LTRR: Learning To Rank Retrievers for LLMs
by: Kim, To Eun, et al.
Published: (2025)
by: Kim, To Eun, et al.
Published: (2025)
Compute Allocation for Reasoning-Intensive Retrieval Agents
by: Apparaju, Sreeja, et al.
Published: (2026)
by: Apparaju, Sreeja, et al.
Published: (2026)
Range Retrieval with Graph-Based Indices
by: Manohar, Magdalen Dobson, et al.
Published: (2025)
by: Manohar, Magdalen Dobson, et al.
Published: (2025)
STELLA: Self-Reflective Terminology-Aware Framework for Building an Aerospace Information Retrieval Benchmark
by: Kim, Bongmin
Published: (2026)
by: Kim, Bongmin
Published: (2026)
Rethinking Reasoning-Intensive Retrieval: Evaluating and Advancing Retrievers in Agentic Search Systems
by: Zhao, Yilun, et al.
Published: (2026)
by: Zhao, Yilun, et al.
Published: (2026)
Learning Contextual Retrieval for Robust Conversational Search
by: Yang, Seunghan, et al.
Published: (2025)
by: Yang, Seunghan, et al.
Published: (2025)
HEISIR: Hierarchical Expansion of Inverted Semantic Indexing for Training-free Retrieval of Conversational Data using LLMs
by: Kim, Sangyeop, et al.
Published: (2025)
by: Kim, Sangyeop, et al.
Published: (2025)
A Survey of Reasoning-Intensive Retrieval: Progress and Challenges
by: Wei, Yiyang, et al.
Published: (2026)
by: Wei, Yiyang, 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)
Discovering Biases in Information Retrieval Models Using Relevance Thesaurus as Global Explanation
by: Kim, Youngwoo, et al.
Published: (2024)
by: Kim, Youngwoo, et al.
Published: (2024)
MM-BRIGHT: A Multi-Task Multimodal Benchmark for Reasoning-Intensive Retrieval
by: Abdallah, Abdelrahman, et al.
Published: (2026)
by: Abdallah, Abdelrahman, et al.
Published: (2026)
TEMPO: A Realistic Multi-Domain Benchmark for Temporal Reasoning-Intensive Retrieval
by: Abdallah, Abdelrahman, et al.
Published: (2026)
by: Abdallah, Abdelrahman, et al.
Published: (2026)
HIVE: Query, Hypothesize, Verify An LLM Framework for Multimodal Reasoning-Intensive Retrieval
by: Abdalla, Mahmoud, et al.
Published: (2026)
by: Abdalla, Mahmoud, et al.
Published: (2026)
FinRetrieval: A Benchmark for Financial Data Retrieval by AI Agents
by: Kim, Eric Y., et al.
Published: (2026)
by: Kim, Eric Y., et al.
Published: (2026)
ReasonEmbed: Enhanced Text Embeddings for Reasoning-Intensive Document Retrieval
by: Chen, Jianlyu, et al.
Published: (2025)
by: Chen, Jianlyu, et al.
Published: (2025)
Chunk Knowledge Generation Model for Enhanced Information Retrieval: A Multi-task Learning Approach
by: Kim, Jisu, et al.
Published: (2025)
by: Kim, Jisu, et al.
Published: (2025)
Ruling Out to Rule In: Contrastive Hypothesis Retrieval for Medical Question Answering
by: Kim, Byeolhee, et al.
Published: (2026)
by: Kim, Byeolhee, et al.
Published: (2026)
FinAgentBench: A Benchmark Dataset for Agentic Retrieval in Financial Question Answering
by: Choi, Chanyeol, et al.
Published: (2025)
by: Choi, Chanyeol, et al.
Published: (2025)
Enhancing Automatic Term Extraction with Large Language Models via Syntactic Retrieval
by: Chun, Yongchan, et al.
Published: (2025)
by: Chun, Yongchan, et al.
Published: (2025)
Similar Items
-
UnIte: Uncertainty-based Iterative Document Sampling for Domain Adaptation in Information Retrieval
by: Kim, Jongyoon, et al.
Published: (2026) -
ListT5: Listwise Reranking with Fusion-in-Decoder Improves Zero-shot Retrieval
by: Yoon, Soyoung, et al.
Published: (2024) -
On Listwise Reranking for Corpus Feedback
by: Yoon, Soyoung, et al.
Published: (2025) -
From Token to Action: State Machine Reasoning to Mitigate Overthinking in Information Retrieval
by: Lee, Dohyeon, et al.
Published: (2025) -
Analyzing the Effectiveness of Listwise Reranking with Positional Invariance on Temporal Generalizability
by: Yoon, Soyoung, et al.
Published: (2024)