An Early FIRST Reproduction and Improvements to Single-Token Decoding for Fast Listwise Reranking
Fuente:
arXiv
Saved in:
| Main Authors: | Chen, Zijian, Pradeep, Ronak, Lin, Jimmy |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
FIRST: Faster Improved Listwise Reranking with Single Token Decoding
by: Reddy, Revanth Gangi, et al.
Published: (2024)
by: Reddy, Revanth Gangi, et al.
Published: (2024)
Self-Calibrated Listwise Reranking with Large Language Models
by: Ren, Ruiyang, et al.
Published: (2024)
by: Ren, Ruiyang, et al.
Published: (2024)
Rank-K: Test-Time Reasoning for Listwise Reranking
by: Yang, Eugene, et al.
Published: (2025)
by: Yang, Eugene, et al.
Published: (2025)
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)
ListConRanker: A Contrastive Text Reranker with Listwise Encoding
by: Liu, Junlong, et al.
Published: (2025)
by: Liu, Junlong, et al.
Published: (2025)
Initial Nugget Evaluation Results for the TREC 2024 RAG Track with the AutoNuggetizer Framework
by: Pradeep, Ronak, et al.
Published: (2024)
by: Pradeep, Ronak, et al.
Published: (2024)
The Great Nugget Recall: Automating Fact Extraction and RAG Evaluation with Large Language Models
by: Pradeep, Ronak, et al.
Published: (2025)
by: Pradeep, Ronak, et al.
Published: (2025)
RankLLM: A Python Package for Reranking with LLMs
by: Sharifymoghaddam, Sahel, et al.
Published: (2025)
by: Sharifymoghaddam, Sahel, 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)
Support Evaluation for the TREC 2024 RAG Track: Comparing Human versus LLM Judges
by: Thakur, Nandan, et al.
Published: (2025)
by: Thakur, Nandan, et al.
Published: (2025)
E2Rank: Your Text Embedding can Also be an Effective and Efficient Listwise Reranker
by: Liu, Qi, et al.
Published: (2025)
by: Liu, Qi, et al.
Published: (2025)
A Large-Scale Study of Relevance Assessments with Large Language Models: An Initial Look
by: Upadhyay, Shivani, et al.
Published: (2024)
by: Upadhyay, Shivani, et al.
Published: (2024)
UMBRELA: UMbrela is the (Open-Source Reproduction of the) Bing RELevance Assessor
by: Upadhyay, Shivani, et al.
Published: (2024)
by: Upadhyay, Shivani, et al.
Published: (2024)
Entity Disambiguation via Fusion Entity Decoding
by: Wang, Junxiong, et al.
Published: (2024)
by: Wang, Junxiong, et al.
Published: (2024)
Rank-R1: Enhancing Reasoning in LLM-based Document Rerankers via Reinforcement Learning
by: Zhuang, Shengyao, et al.
Published: (2025)
by: Zhuang, Shengyao, et al.
Published: (2025)
Gumbel Reranking: Differentiable End-to-End Reranker Optimization
by: Huang, Siyuan, et al.
Published: (2025)
by: Huang, Siyuan, et al.
Published: (2025)
On Listwise Reranking for Corpus Feedback
by: Yoon, Soyoung, et al.
Published: (2025)
by: Yoon, Soyoung, et al.
Published: (2025)
$\text{R}^2\text{R}$: A Route-to-Rerank Post-Training Framework for Multi-Domain Decoder-Only Rerankers
by: Wang, Xinyu, et al.
Published: (2025)
by: Wang, Xinyu, et al.
Published: (2025)
Ragnarök: A Reusable RAG Framework and Baselines for TREC 2024 Retrieval-Augmented Generation Track
by: Pradeep, Ronak, et al.
Published: (2024)
by: Pradeep, Ronak, et al.
Published: (2024)
ReFIT: Relevance Feedback from a Reranker during Inference
by: Reddy, Revanth Gangi, et al.
Published: (2023)
by: Reddy, Revanth Gangi, et al.
Published: (2023)
Rerank Before You Reason: Analyzing Reranking Tradeoffs through Effective Token Cost in Deep Search Agents
by: Sharifymoghaddam, Sahel, et al.
Published: (2026)
by: Sharifymoghaddam, Sahel, 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)
Don't "Overthink" Passage Reranking: Is Reasoning Truly Necessary?
by: Jedidi, Nour, et al.
Published: (2025)
by: Jedidi, Nour, et al.
Published: (2025)
ORBIT: Scalable and Verifiable Data Generation for Search Agents on a Tight Budget
by: Thakur, Nandan, et al.
Published: (2026)
by: Thakur, Nandan, et al.
Published: (2026)
When Vision Meets Texts in Listwise Reranking
by: Cai, Hongyi
Published: (2026)
by: Cai, Hongyi
Published: (2026)
Efficient Listwise Reranking with Compressed Document Representations
by: Déjean, Hervé, et al.
Published: (2026)
by: Déjean, Hervé, et al.
Published: (2026)
jina-reranker-v3: Last but Not Late Interaction for Listwise Document Reranking
by: Wang, Feng, et al.
Published: (2025)
by: Wang, Feng, et al.
Published: (2025)
How Good are LLM-based Rerankers? An Empirical Analysis of State-of-the-Art Reranking Models
by: Abdallah, Abdelrahman, et al.
Published: (2025)
by: Abdallah, Abdelrahman, et al.
Published: (2025)
ConvKGYarn: Spinning Configurable and Scalable Conversational Knowledge Graph QA datasets with Large Language Models
by: Pradeep, Ronak, et al.
Published: (2024)
by: Pradeep, Ronak, et al.
Published: (2024)
Beyond Sequential Reranking: Reranker-Guided Search Improves Reasoning Intensive Retrieval
by: Xu, Haike, et al.
Published: (2025)
by: Xu, Haike, et al.
Published: (2025)
LimRank: Less is More for Reasoning-Intensive Information Reranking
by: Song, Tingyu, et al.
Published: (2025)
by: Song, Tingyu, et al.
Published: (2025)
State Space Models are Strong Text Rerankers
by: Xu, Zhichao, et al.
Published: (2024)
by: Xu, Zhichao, 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)
A Systematic Study of Pseudo-Relevance Feedback with LLMs
by: Jedidi, Nour, et al.
Published: (2026)
by: Jedidi, Nour, et al.
Published: (2026)
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)
Stop Overthinking: Unlocking Efficient Listwise Reranking with Minimal Reasoning
by: Liu, Danyang, et al.
Published: (2026)
by: Liu, Danyang, et al.
Published: (2026)
LLM-based Listwise Reranking under the Effect of Positional Bias
by: Qiao, Jingfen, et al.
Published: (2026)
by: Qiao, Jingfen, et al.
Published: (2026)
Efficient Title Reranker for Fast and Improved Knowledge-Intense NLP
by: Chen, Ziyi, et al.
Published: (2023)
by: Chen, Ziyi, et al.
Published: (2023)
Knowledge-Aware Diverse Reranking for Cross-Source Question Answering
by: Zhou, Tong
Published: (2025)
by: Zhou, Tong
Published: (2025)
DiffuRank: Effective Document Reranking with Diffusion Language Models
by: Liu, Qi, et al.
Published: (2026)
by: Liu, Qi, et al.
Published: (2026)
Similar Items
-
FIRST: Faster Improved Listwise Reranking with Single Token Decoding
by: Reddy, Revanth Gangi, et al.
Published: (2024) -
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) -
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)