Cover Image

Analyzing the Effectiveness of Listwise Reranking with Positional Invariance on Temporal Generalizability

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yoon, Soyoung, Kim, Jongyoon, Hwang, Seung-won
Format:	Preprint
Published:	2024
Subjects:	Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

On Listwise Reranking for Corpus Feedback
by: Yoon, Soyoung, et al.
Published: (2025)

ListT5: Listwise Reranking with Fusion-in-Decoder Improves Zero-shot Retrieval
by: Yoon, Soyoung, et al.
Published: (2024)

AcuRank: Uncertainty-Aware Adaptive Computation for Listwise Reranking
by: Yoon, Soyoung, et al.
Published: (2025)

UnIte: Uncertainty-based Iterative Document Sampling for Domain Adaptation in Information Retrieval
by: Kim, Jongyoon, et al.
Published: (2026)

LLM-based Listwise Reranking under the Effect of Positional Bias
by: Qiao, Jingfen, et al.
Published: (2026)

When Vision Meets Texts in Listwise Reranking
by: Cai, Hongyi
Published: (2026)

Efficient Listwise Reranking with Compressed Document Representations
by: Déjean, Hervé, et al.
Published: (2026)

FIRST: Faster Improved Listwise Reranking with Single Token Decoding
by: Reddy, Revanth Gangi, et al.
Published: (2024)

Stop Overthinking: Unlocking Efficient Listwise Reranking with Minimal Reasoning
by: Liu, Danyang, et al.
Published: (2026)

One Pass, Any Order: Position-Invariant Listwise Reranking for LLM-Based Recommendation
by: Bito, Ethan, et al.
Published: (2026)

SumRank: Aligning Summarization Models for Long-Document Listwise Reranking
by: Feng, Jincheng, et al.
Published: (2026)

Self-Calibrated Listwise Reranking with Large Language Models
by: Ren, Ruiyang, et al.
Published: (2024)

Rank-K: Test-Time Reasoning for Listwise Reranking
by: Yang, Eugene, et al.
Published: (2025)

Rerank Before You Reason: Analyzing Reranking Tradeoffs through Effective Token Cost in Deep Search Agents
by: Sharifymoghaddam, Sahel, et al.
Published: (2026)

Leveraging Passage Embeddings for Efficient Listwise Reranking with Large Language Models
by: Liu, Qi, et al.
Published: (2024)

ListConRanker: A Contrastive Text Reranker with Listwise Encoding
by: Liu, Junlong, et al.
Published: (2025)

From Token to Action: State Machine Reasoning to Mitigate Overthinking in Information Retrieval
by: Lee, Dohyeon, et al.
Published: (2025)

E2Rank: Your Text Embedding can Also be an Effective and Efficient Listwise Reranker
by: Liu, Qi, et al.
Published: (2025)

Adaptive Retrieval for Reasoning-Intensive Retrieval
by: Kim, Jongho, et al.
Published: (2026)

An Early FIRST Reproduction and Improvements to Single-Token Decoding for Fast Listwise Reranking
by: Chen, Zijian, et al.
Published: (2024)

ECoRAG: Evidentiality-guided Compression for Long Context RAG
by: Jeong, Yeonseok, et al.
Published: (2025)

Very Efficient Listwise Multimodal Reranking for Long Documents
by: Sun, Yiqun, et al.
Published: (2026)

ResRank: Unifying Retrieval and Listwise Reranking via End-to-End Joint Training with Residual Passage Compression
by: Ke, Xiaojie, et al.
Published: (2026)

Is Position Bias in Dense Retrievers Built In-or Learned from Data?
by: Yu, Daegon, et al.
Published: (2026)

C$^3$: Capturing Consensus with Contrastive Learning in Group Recommendation
by: Kim, Soyoung, et al.
Published: (2025)

Zeroshot Listwise Learning to Rank Algorithm for Recommendation
by: Wang, Hao
Published: (2024)

Hierarchical Reinforcement Learning for Temporal Abstraction of Listwise Recommendation
by: Ji, Luo, et al.
Published: (2024)

ToolRerank: Adaptive and Hierarchy-Aware Reranking for Tool Retrieval
by: Zheng, Yuanhang, et al.
Published: (2024)

jina-reranker-v3: Last but Not Late Interaction for Listwise Document Reranking
by: Wang, Feng, et al.
Published: (2025)

EviRerank: Adaptive Evidence Construction for Long-Document LLM Reranking
by: Li, Minghan, et al.
Published: (2024)

LLM4Rerank: LLM-based Auto-Reranking Framework for Recommendations
by: Gao, Jingtong, et al.
Published: (2024)

RankingSHAP -- Listwise Feature Attribution Explanations for Ranking Models
by: Heuss, Maria, et al.
Published: (2024)

Listwise Preference Diffusion Optimization for User Behavior Trajectories Prediction
by: Huang, Hongtao, et al.
Published: (2025)

Listwise Generative Retrieval Models via a Sequential Learning Process
by: Tang, Yubao, et al.
Published: (2024)

Next-Scale Generative Reranking: A Tree-based Generative Rerank Method at Meituan
by: Wang, Shuli, et al.
Published: (2026)

DiffuRank: Effective Document Reranking with Diffusion Language Models
by: Liu, Qi, et al.
Published: (2026)

Reranking with Compressed Document Representation
by: Déjean, Hervé, et al.
Published: (2025)

Calibration-Disentangled Learning and Relevance-Prioritized Reranking for Calibrated Sequential Recommendation
by: Jeon, Hyunsik, et al.
Published: (2024)

Prompt-Based LLMs for Position Bias-Aware Reranking in Personalized Recommendations
by: Islam, Md Aminul, et al.
Published: (2025)

Teaching Dense Retrieval Models to Specialize with Listwise Distillation and LLM Data Augmentation
by: Tamber, Manveer Singh, et al.
Published: (2025)