TFRank: Think-Free Reasoning Enables Practical Pointwise LLM Ranking
Fuente:
arXiv
Saved in:
| Main Authors: | Fan, Yongqi, Chen, Xiaoyang, Ye, Dezhi, Liu, Jie, Liang, Haijin, Ma, Jin, He, Ben, Sun, Yingfei, Ruan, Tong |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Rank4Gen: RAG-Preference-Aligned Document Set Selection and Ranking
by: Fan, Yongqi, et al.
Published: (2026)
by: Fan, Yongqi, et al.
Published: (2026)
Best Practices for Distilling Large Language Models into BERT for Web Search Ranking
by: Ye, Dezhi, et al.
Published: (2024)
by: Ye, Dezhi, et al.
Published: (2024)
RankSteer: Activation Steering for Pointwise LLM Ranking
by: Wang, Yumeng, et al.
Published: (2026)
by: Wang, Yumeng, et al.
Published: (2026)
Think When Needed: Model-Aware Reasoning Routing for LLM-based Ranking
by: Guo, Huizhong, et al.
Published: (2026)
by: Guo, Huizhong, et al.
Published: (2026)
Efficient Pointwise-Pairwise Learning-to-Rank for News Recommendation
by: Kannen, Nithish, et al.
Published: (2024)
by: Kannen, Nithish, et al.
Published: (2024)
Spiral of Silence: How is Large Language Model Killing Information Retrieval? -- A Case Study on Open Domain Question Answering
by: Chen, Xiaoyang, et al.
Published: (2024)
by: Chen, Xiaoyang, et al.
Published: (2024)
Unbiased Learning to Rank with Query-Level Click Propensity Estimation: Beyond Pointwise Observation and Relevance
by: Yu, Lulu, et al.
Published: (2025)
by: Yu, Lulu, et al.
Published: (2025)
Pointwise Metrics for Clustering Evaluation
by: van Staden, Stephan
Published: (2024)
by: van Staden, Stephan
Published: (2024)
AlignPxtr: Aligning Predicted Behavior Distributions for Bias-Free Video Recommendations
by: Lin, Chengzhi, et al.
Published: (2025)
by: Lin, Chengzhi, et al.
Published: (2025)
Precise Zero-Shot Pointwise Ranking with LLMs through Post-Aggregated Global Context Information
by: Long, Kehan, et al.
Published: (2025)
by: Long, Kehan, et al.
Published: (2025)
Rank-GRPO: Training LLM-based Conversational Recommender Systems with Reinforcement Learning
by: Zhu, Yaochen, et al.
Published: (2025)
by: Zhu, Yaochen, et al.
Published: (2025)
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)
Rank, Don't Generate: Statement-level Ranking for Explainable Recommendation
by: Kabongo, Ben, et al.
Published: (2026)
by: Kabongo, Ben, et al.
Published: (2026)
Multi-objective Learning to Rank by Model Distillation
by: Tang, Jie, et al.
Published: (2024)
by: Tang, Jie, et al.
Published: (2024)
Rethinking Reasoning in Document Ranking: Why Chain-of-Thought Falls Short
by: Lu, Xuan, et al.
Published: (2025)
by: Lu, Xuan, et al.
Published: (2025)
Reasoning to Rank: An End-to-End Solution for Exploiting Large Language Models for Recommendation
by: Zheng, Kehan, et al.
Published: (2026)
by: Zheng, Kehan, et al.
Published: (2026)
TwiSTAR:Think Fast, Think Slow, Then Act,Generative Recommendation with Adaptive Reasoning
by: Cao, Shiteng, et al.
Published: (2026)
by: Cao, Shiteng, et al.
Published: (2026)
Interpretable Triplet Importance for Personalized Ranking
by: He, Bowei, et al.
Published: (2024)
by: He, Bowei, et al.
Published: (2024)
Comment Staytime Prediction with LLM-enhanced Comment Understanding
by: Zhang, Changshuo, et al.
Published: (2025)
by: Zhang, Changshuo, et al.
Published: (2025)
UMRE: A Unified Monotonic Transformation for Ranking Ensemble in Recommender Systems
by: Xu, Zhengrui, et al.
Published: (2025)
by: Xu, Zhengrui, et al.
Published: (2025)
ThinkRec: Thinking-based recommendation via LLM
by: Yu, Qihang, et al.
Published: (2025)
by: Yu, Qihang, et al.
Published: (2025)
InfoRank: Unbiased Learning-to-Rank via Conditional Mutual Information Minimization
by: Jin, Jiarui, et al.
Published: (2024)
by: Jin, Jiarui, et al.
Published: (2024)
OneRec-Think: In-Text Reasoning for Generative Recommendation
by: Liu, Zhanyu, et al.
Published: (2025)
by: Liu, Zhanyu, et al.
Published: (2025)
ReasonRank: Empowering Passage Ranking with Strong Reasoning Ability
by: Liu, Wenhan, et al.
Published: (2025)
by: Liu, Wenhan, et al.
Published: (2025)
BracketRank: Large Language Model Document Ranking via Reasoning-based Competitive Elimination
by: Abdallah, Abdelrahman, et al.
Published: (2026)
by: Abdallah, Abdelrahman, et al.
Published: (2026)
Continual Low-Rank Adapters for LLM-based Generative Recommender Systems
by: Yoo, Hyunsik, et al.
Published: (2025)
by: Yoo, Hyunsik, et al.
Published: (2025)
UniRank: Unified List-wise Reranking via Confidence-Ordered Denoising
by: Jia, Pengyue, et al.
Published: (2026)
by: Jia, Pengyue, et al.
Published: (2026)
FuXi-$γ$: Efficient Sequential Recommendation with Exponential-Power Temporal Encoder and Diagonal-Sparse Positional Mechanism
by: Yi, Dezhi, et al.
Published: (2025)
by: Yi, Dezhi, et al.
Published: (2025)
Fusion-in-T5: Unifying Document Ranking Signals for Improved Information Retrieval
by: Yu, Shi, et al.
Published: (2023)
by: Yu, Shi, et al.
Published: (2023)
Proximal Ranking Policy Optimization for Practical Safety in Counterfactual Learning to Rank
by: Gupta, Shashank, et al.
Published: (2024)
by: Gupta, Shashank, et al.
Published: (2024)
Internalizing Multi-Agent Reasoning for Accurate and Efficient LLM-based Recommendation
by: Wu, Yang, et al.
Published: (2026)
by: Wu, Yang, et al.
Published: (2026)
IterQR: An Iterative Framework for LLM-based Query Rewrite in e-Commercial Search System
by: Chen, Shangyu, et al.
Published: (2025)
by: Chen, Shangyu, et al.
Published: (2025)
RAG over Thinking Traces Can Improve Reasoning Tasks
by: Arabzadeh, Negar, et al.
Published: (2026)
by: Arabzadeh, Negar, et al.
Published: (2026)
AdversarialCoT: Single-Document Retrieval Poisoning for LLM Reasoning
by: Song, Hongru, et al.
Published: (2026)
by: Song, Hongru, et al.
Published: (2026)
RankLLM: A Python Package for Reranking with LLMs
by: Sharifymoghaddam, Sahel, et al.
Published: (2025)
by: Sharifymoghaddam, Sahel, et al.
Published: (2025)
Bringing Reasoning to Generative Recommendation Through the Lens of Cascaded Ranking
by: Lin, Xinyu, et al.
Published: (2026)
by: Lin, Xinyu, et al.
Published: (2026)
Rank-DistiLLM: Closing the Effectiveness Gap Between Cross-Encoders and LLMs for Passage Re-Ranking
by: Schlatt, Ferdinand, et al.
Published: (2024)
by: Schlatt, Ferdinand, et al.
Published: (2024)
Integrate Temporal Graph Learning into LLM-based Temporal Knowledge Graph Model
by: Chang, He, et al.
Published: (2025)
by: Chang, He, et al.
Published: (2025)
Data-efficient Fine-tuning for LLM-based Recommendation
by: Lin, Xinyu, et al.
Published: (2024)
by: Lin, Xinyu, et al.
Published: (2024)
Farewell to Item IDs: Unlocking the Scaling Potential of Large Ranking Models via Semantic Tokens
by: Zhao, Zhen, et al.
Published: (2026)
by: Zhao, Zhen, et al.
Published: (2026)
Similar Items
-
Rank4Gen: RAG-Preference-Aligned Document Set Selection and Ranking
by: Fan, Yongqi, et al.
Published: (2026) -
Best Practices for Distilling Large Language Models into BERT for Web Search Ranking
by: Ye, Dezhi, et al.
Published: (2024) -
RankSteer: Activation Steering for Pointwise LLM Ranking
by: Wang, Yumeng, et al.
Published: (2026) -
Think When Needed: Model-Aware Reasoning Routing for LLM-based Ranking
by: Guo, Huizhong, et al.
Published: (2026) -
Efficient Pointwise-Pairwise Learning-to-Rank for News Recommendation
by: Kannen, Nithish, et al.
Published: (2024)