Bridging the Preference Gap between Retrievers and LLMs
Fuente:
arXiv
Saved in:
| Main Authors: | Ke, Zixuan, Kong, Weize, Li, Cheng, Zhang, Mingyang, Mei, Qiaozhu, Bendersky, Michael |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Learning to Rewrite Prompts for Personalized Text Generation
by: Li, Cheng, et al.
Published: (2023)
by: Li, Cheng, et al.
Published: (2023)
Retrieval Augmented Generation or Long-Context LLMs? A Comprehensive Study and Hybrid Approach
by: Li, Zhuowan, et al.
Published: (2024)
by: Li, Zhuowan, et al.
Published: (2024)
PRewrite: Prompt Rewriting with Reinforcement Learning
by: Kong, Weize, et al.
Published: (2024)
by: Kong, Weize, et al.
Published: (2024)
Reasoning-Enhanced Self-Training for Long-Form Personalized Text Generation
by: Salemi, Alireza, et al.
Published: (2025)
by: Salemi, Alireza, et al.
Published: (2025)
Pathways of Thoughts: Multi-Directional Thinking for Long-form Personalized Question Answering
by: Salemi, Alireza, et al.
Published: (2025)
by: Salemi, Alireza, et al.
Published: (2025)
Generative AI Advertising as a Problem of Trustworthy Commercial Intervention
by: Qiu, Jingyi, et al.
Published: (2026)
by: Qiu, Jingyi, et al.
Published: (2026)
Why is constrained neural language generation particularly challenging?
by: Garbacea, Cristina, et al.
Published: (2022)
by: Garbacea, Cristina, et al.
Published: (2022)
Stochastic RAG: End-to-End Retrieval-Augmented Generation through Expected Utility Maximization
by: Zamani, Hamed, et al.
Published: (2024)
by: Zamani, Hamed, et al.
Published: (2024)
Bridging the Gap Between Preference Alignment and Machine Unlearning
by: Feng, Xiaohua, et al.
Published: (2025)
by: Feng, Xiaohua, et al.
Published: (2025)
Unlocking the `Why' of Buying: Introducing a New Dataset and Benchmark for Purchase Reason and Post-Purchase Experience
by: Chen, Tao, et al.
Published: (2024)
by: Chen, Tao, et al.
Published: (2024)
Tool Retrieval Bridge: Aligning Vague Instructions with Retriever Preferences via Bridge Model
by: Chen, Kunfeng, et al.
Published: (2026)
by: Chen, Kunfeng, et al.
Published: (2026)
Bridging the Gap between Different Vocabularies for LLM Ensemble
by: Xu, Yangyifan, et al.
Published: (2024)
by: Xu, Yangyifan, et al.
Published: (2024)
Bridging Language Gaps: Advances in Cross-Lingual Information Retrieval with Multilingual LLMs
by: Goworek, Roksana, et al.
Published: (2025)
by: Goworek, Roksana, et al.
Published: (2025)
LLMs for Mathematical Modeling: Towards Bridging the Gap between Natural and Mathematical Languages
by: Huang, Xuhan, et al.
Published: (2024)
by: Huang, Xuhan, et al.
Published: (2024)
Bridge-Coder: Unlocking LLMs' Potential to Overcome Language Gaps in Low-Resource Code
by: Zhang, Jipeng, et al.
Published: (2024)
by: Zhang, Jipeng, et al.
Published: (2024)
Bridging Language Gaps in Audio-Text Retrieval
by: Yan, Zhiyong, et al.
Published: (2024)
by: Yan, Zhiyong, et al.
Published: (2024)
PLaD: Preference-based Large Language Model Distillation with Pseudo-Preference Pairs
by: Zhang, Rongzhi, et al.
Published: (2024)
by: Zhang, Rongzhi, et al.
Published: (2024)
Take One Step at a Time to Know Incremental Utility of Demonstration: An Analysis on Reranking for Few-Shot In-Context Learning
by: Hashimoto, Kazuma, et al.
Published: (2023)
by: Hashimoto, Kazuma, et al.
Published: (2023)
Bridging the Knowledge-Prediction Gap in LLMs on Multiple-Choice Questions
by: Park, Yoonah, et al.
Published: (2025)
by: Park, Yoonah, et al.
Published: (2025)
Bridging the Editing Gap in LLMs: FineEdit for Precise and Targeted Text Modifications
by: Zeng, Yiming, et al.
Published: (2025)
by: Zeng, Yiming, et al.
Published: (2025)
Reading, Not Thinking: Understanding and Bridging the Modality Gap When Text Becomes Pixels in Multimodal LLMs
by: Sun, Kaiser, et al.
Published: (2026)
by: Sun, Kaiser, et al.
Published: (2026)
DeepResearch-Slice: Bridging the Retrieval-Utilization Gap via Explicit Text Slicing
by: Lu, Shuo, et al.
Published: (2025)
by: Lu, Shuo, et al.
Published: (2025)
Bridging the Knowledge-Action Gap by Evaluating LLMs in Dynamic Dental Clinical Scenarios
by: Ma, Hongyang, et al.
Published: (2026)
by: Ma, Hongyang, et al.
Published: (2026)
Alignment through Meta-Weighted Online Sampling: Bridging the Gap between Data Generation and Preference Optimization
by: Yang, Junming, et al.
Published: (2025)
by: Yang, Junming, et al.
Published: (2025)
Evaluating and Aligning CodeLLMs on Human Preference
by: Yang, Jian, et al.
Published: (2024)
by: Yang, Jian, et al.
Published: (2024)
Boosting Reward Model with Preference-Conditional Multi-Aspect Synthetic Data Generation
by: Shen, Jiaming, et al.
Published: (2024)
by: Shen, Jiaming, et al.
Published: (2024)
ActMem: Bridging the Gap Between Memory Retrieval and Reasoning in LLM Agents
by: Zhang, Xiaohui, et al.
Published: (2026)
by: Zhang, Xiaohui, et al.
Published: (2026)
LaMP: When Large Language Models Meet Personalization
by: Salemi, Alireza, et al.
Published: (2023)
by: Salemi, Alireza, et al.
Published: (2023)
Towards Bridging the Reward-Generation Gap in Direct Alignment Algorithms
by: Xiao, Zeguan, et al.
Published: (2025)
by: Xiao, Zeguan, et al.
Published: (2025)
Bridging the Gap: Transforming Natural Language Questions into SQL Queries via Abstract Query Pattern and Contextual Schema Markup
by: Kong, Yonghui, et al.
Published: (2025)
by: Kong, Yonghui, et al.
Published: (2025)
Visual Chain of Thought: Bridging Logical Gaps with Multimodal Infillings
by: Rose, Daniel, et al.
Published: (2023)
by: Rose, Daniel, et al.
Published: (2023)
How to Bridge the Gap between Modalities: Survey on Multimodal Large Language Model
by: Song, Shezheng, et al.
Published: (2023)
by: Song, Shezheng, et al.
Published: (2023)
Inference Scaling for Long-Context Retrieval Augmented Generation
by: Yue, Zhenrui, et al.
Published: (2024)
by: Yue, Zhenrui, et al.
Published: (2024)
When Do LLMs Need Retrieval Augmentation? Mitigating LLMs' Overconfidence Helps Retrieval Augmentation
by: Ni, Shiyu, et al.
Published: (2024)
by: Ni, Shiyu, et al.
Published: (2024)
Predicting Text Preference Via Structured Comparative Reasoning
by: Yan, Jing Nathan, et al.
Published: (2023)
by: Yan, Jing Nathan, et al.
Published: (2023)
JADE: Bridging the Strategic-Operational Gap in Dynamic Agentic RAG
by: Chen, Yiqun, et al.
Published: (2026)
by: Chen, Yiqun, et al.
Published: (2026)
Bridging the Reasoning Gap: Small LLMs Can Plan with Generalised Strategies
by: Borro, Andrey, et al.
Published: (2025)
by: Borro, Andrey, et al.
Published: (2025)
Bridging the Language Gap: Dynamic Learning Strategies for Improving Multilingual Performance in LLMs
by: Kumar, Somnath, et al.
Published: (2023)
by: Kumar, Somnath, et al.
Published: (2023)
PACIFIC: Can LLMs Discern the Traits Influencing Your Preferences? Evaluating Personality-Driven Preference Alignment in LLMs
by: Zhao, Tianyu, et al.
Published: (2026)
by: Zhao, Tianyu, et al.
Published: (2026)
Bridging the Long-Tail Gap: Robust Retrieval-Augmented Relation Completion via Multi-Stage Paraphrase Infusion
by: Alam, Fahmida, et al.
Published: (2026)
by: Alam, Fahmida, et al.
Published: (2026)
Similar Items
-
Learning to Rewrite Prompts for Personalized Text Generation
by: Li, Cheng, et al.
Published: (2023) -
Retrieval Augmented Generation or Long-Context LLMs? A Comprehensive Study and Hybrid Approach
by: Li, Zhuowan, et al.
Published: (2024) -
PRewrite: Prompt Rewriting with Reinforcement Learning
by: Kong, Weize, et al.
Published: (2024) -
Reasoning-Enhanced Self-Training for Long-Form Personalized Text Generation
by: Salemi, Alireza, et al.
Published: (2025) -
Pathways of Thoughts: Multi-Directional Thinking for Long-form Personalized Question Answering
by: Salemi, Alireza, et al.
Published: (2025)