Multi-view-guided Passage Reranking with Large Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Na, Jeongwoo, Kwon, Jun, Choi, Eunseong, Lee, Jongwuk |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Multi-Granularity Guided Fusion-in-Decoder
by: Choi, Eunseong, et al.
Published: (2024)
by: Choi, Eunseong, et al.
Published: (2024)
GRAM: Generative Recommendation via Semantic-aware Multi-granular Late Fusion
by: Lee, Sunkyung, et al.
Published: (2025)
by: Lee, Sunkyung, et al.
Published: (2025)
Passage-specific Prompt Tuning for Passage Reranking in Question Answering with Large Language Models
by: Wu, Xuyang, et al.
Published: (2024)
by: Wu, Xuyang, et al.
Published: (2024)
Leveraging Passage Embeddings for Efficient Listwise Reranking with Large Language Models
by: Liu, Qi, et al.
Published: (2024)
by: Liu, Qi, et al.
Published: (2024)
InstUPR : Instruction-based Unsupervised Passage Reranking with Large Language Models
by: Huang, Chao-Wei, et al.
Published: (2024)
by: Huang, Chao-Wei, et al.
Published: (2024)
Linear Item-Item Model with Neural Knowledge for Session-based Recommendation
by: Choi, Minjin, et al.
Published: (2025)
by: Choi, Minjin, et al.
Published: (2025)
Multi-intent-aware Session-based Recommendation
by: Choi, Minjin, et al.
Published: (2024)
by: Choi, Minjin, et al.
Published: (2024)
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)
GLEN: Generative Retrieval via Lexical Index Learning
by: Lee, Sunkyung, et al.
Published: (2023)
by: Lee, Sunkyung, et al.
Published: (2023)
Temporal Linear Item-Item Model for Sequential Recommendation
by: Park, Seongmin, et al.
Published: (2024)
by: Park, Seongmin, et al.
Published: (2024)
MARS: Matching Attribute-aware Representations for Text-based Sequential Recommendation
by: Kim, Hyunsoo, et al.
Published: (2024)
by: Kim, Hyunsoo, et al.
Published: (2024)
DIFF: Dual Side-Information Filtering and Fusion for Sequential Recommendation
by: Kim, Hye-young, et al.
Published: (2025)
by: Kim, Hye-young, et al.
Published: (2025)
ACE: Anisotropy-Controllable Embedding for LLM-enhanced Sequential Recommendation
by: Lee, Dongcheol, et al.
Published: (2026)
by: Lee, Dongcheol, et al.
Published: (2026)
RankFlow: A Multi-Role Collaborative Reranking Workflow Utilizing Large Language Models
by: Jin, Can, et al.
Published: (2025)
by: Jin, Can, et al.
Published: (2025)
On Listwise Reranking for Corpus Feedback
by: Yoon, Soyoung, et al.
Published: (2025)
by: Yoon, Soyoung, et al.
Published: (2025)
Self-Calibrated Listwise Reranking with Large Language Models
by: Ren, Ruiyang, et al.
Published: (2024)
by: Ren, Ruiyang, et al.
Published: (2024)
Empowering Retrieval-based Conversational Recommendation with Contrasting User Preferences
by: Kook, Heejin, et al.
Published: (2025)
by: Kook, Heejin, et al.
Published: (2025)
MUFFIN: Mixture of User-Adaptive Frequency Filtering for Sequential Recommendation
by: Baek, Ilwoong, et al.
Published: (2025)
by: Baek, Ilwoong, et al.
Published: (2025)
HeadRank: Decoding-Free Passage Reranking via Preference-Aligned Attention Heads
by: Wang, Juyuan, et al.
Published: (2026)
by: Wang, Juyuan, et al.
Published: (2026)
MergeRec: Model Merging for Data-Isolated Cross-Domain Sequential Recommendation
by: Kim, Hyunsoo, et al.
Published: (2026)
by: Kim, Hyunsoo, et al.
Published: (2026)
Why is Normalization Necessary for Linear Recommenders?
by: Park, Seongmin, et al.
Published: (2025)
by: Park, Seongmin, et al.
Published: (2025)
Whole-Pool Setwise Reranking with Long-Context Language Models
by: Li, Hang, et al.
Published: (2026)
by: Li, Hang, et al.
Published: (2026)
Don't "Overthink" Passage Reranking: Is Reasoning Truly Necessary?
by: Jedidi, Nour, et al.
Published: (2025)
by: Jedidi, Nour, et al.
Published: (2025)
Zero-shot Audio Topic Reranking using Large Language Models
by: Qian, Mengjie, et al.
Published: (2023)
by: Qian, Mengjie, et al.
Published: (2023)
From Relevance to Authority: Authority-aware Generative Retrieval in Web Search Engines
by: Lee, Sunkyung, et al.
Published: (2026)
by: Lee, Sunkyung, et al.
Published: (2026)
Do Large Language Models Favor Recent Content? A Study on Recency Bias in LLM-Based Reranking
by: Fang, Hanpei, et al.
Published: (2025)
by: Fang, Hanpei, et al.
Published: (2025)
GroupRank: A Groupwise Paradigm for Effective and Efficient Passage Reranking with LLMs
by: Long, Meixiu, et al.
Published: (2025)
by: Long, Meixiu, et al.
Published: (2025)
The Evolution of Reranking Models in Information Retrieval: From Heuristic Methods to Large Language Models
by: Pandit, Tejul, et al.
Published: (2025)
by: Pandit, Tejul, et al.
Published: (2025)
ToolRerank: Adaptive and Hierarchy-Aware Reranking for Tool Retrieval
by: Zheng, Yuanhang, et al.
Published: (2024)
by: Zheng, Yuanhang, et al.
Published: (2024)
ResRank: Unifying Retrieval and Listwise Reranking via End-to-End Joint Training with Residual Passage Compression
by: Ke, Xiaojie, et al.
Published: (2026)
by: Ke, Xiaojie, et al.
Published: (2026)
EviRerank: Adaptive Evidence Construction for Long-Document LLM Reranking
by: Li, Minghan, et al.
Published: (2024)
by: Li, Minghan, et al.
Published: (2024)
LLM4Rerank: LLM-based Auto-Reranking Framework for Recommendations
by: Gao, Jingtong, et al.
Published: (2024)
by: Gao, Jingtong, et al.
Published: (2024)
Improving Dense Passage Retrieval with Multiple Positive Passages
by: Chang, Shuai
Published: (2025)
by: Chang, Shuai
Published: (2025)
Enhancing Time Awareness in Generative Recommendation
by: Lee, Sunkyung, et al.
Published: (2025)
by: Lee, Sunkyung, et al.
Published: (2025)
LLM4Ranking: An Easy-to-use Framework of Utilizing Large Language Models for Document Reranking
by: Liu, Qi, et al.
Published: (2025)
by: Liu, Qi, et al.
Published: (2025)
Multi-Reranker: Maximizing performance of retrieval-augmented generation in the FinanceRAG challenge
by: Lee, Joohyun, et al.
Published: (2024)
by: Lee, Joohyun, et al.
Published: (2024)
Investigating Multi-layer Representations for Dense Passage Retrieval
by: Xie, Zhongbin, et al.
Published: (2025)
by: Xie, Zhongbin, et al.
Published: (2025)
Next-Scale Generative Reranking: A Tree-based Generative Rerank Method at Meituan
by: Wang, Shuli, et al.
Published: (2026)
by: Wang, Shuli, 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)
Reranking with Compressed Document Representation
by: Déjean, Hervé, et al.
Published: (2025)
by: Déjean, Hervé, et al.
Published: (2025)
Similar Items
-
Multi-Granularity Guided Fusion-in-Decoder
by: Choi, Eunseong, et al.
Published: (2024) -
GRAM: Generative Recommendation via Semantic-aware Multi-granular Late Fusion
by: Lee, Sunkyung, et al.
Published: (2025) -
Passage-specific Prompt Tuning for Passage Reranking in Question Answering with Large Language Models
by: Wu, Xuyang, et al.
Published: (2024) -
Leveraging Passage Embeddings for Efficient Listwise Reranking with Large Language Models
by: Liu, Qi, et al.
Published: (2024) -
InstUPR : Instruction-based Unsupervised Passage Reranking with Large Language Models
by: Huang, Chao-Wei, et al.
Published: (2024)