No Free Lunch in Active Learning: LLM Embedding Quality Dictates Query Strategy Success
Fuente:
arXiv
Saved in:
| Main Authors: | Rauch, Lukas, Wirth, Moritz, Huseljic, Denis, Herde, Marek, Sick, Bernhard, Aßenmacher, Matthias |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Cleaning the Pool: Progressive Filtering of Unlabeled Pools in Deep Active Learning
by: Huseljic, Denis, et al.
Published: (2025)
by: Huseljic, Denis, et al.
Published: (2025)
dopanim: A Dataset of Doppelganger Animals with Noisy Annotations from Multiple Humans
by: Herde, Marek, et al.
Published: (2024)
by: Herde, Marek, et al.
Published: (2024)
Fast Fishing: Approximating BAIT for Efficient and Scalable Deep Active Image Classification
by: Huseljic, Denis, et al.
Published: (2024)
by: Huseljic, Denis, et al.
Published: (2024)
crowd-hpo: Realistic Hyperparameter Optimization and Benchmarking for Learning from Crowds with Noisy Labels
by: Herde, Marek, et al.
Published: (2025)
by: Herde, Marek, et al.
Published: (2025)
Annot-Mix: Learning with Noisy Class Labels from Multiple Annotators via a Mixup Extension
by: Herde, Marek, et al.
Published: (2024)
by: Herde, Marek, et al.
Published: (2024)
BoSS: A Best-of-Strategies Selector as an Oracle for Deep Active Learning
by: Huseljic, Denis, et al.
Published: (2026)
by: Huseljic, Denis, et al.
Published: (2026)
Towards Deep Active Learning in Avian Bioacoustics
by: Rauch, Lukas, et al.
Published: (2024)
by: Rauch, Lukas, et al.
Published: (2024)
Efficient Bayesian Updates for Deep Active Learning via Laplace Approximations
by: Huseljic, Denis, et al.
Published: (2022)
by: Huseljic, Denis, et al.
Published: (2022)
Data Augmentation as Free Lunch: Exploring the Test-Time Augmentation for Sequential Recommendation
by: Dang, Yizhou, et al.
Published: (2025)
by: Dang, Yizhou, et al.
Published: (2025)
BirdSet: A Large-Scale Dataset for Audio Classification in Avian Bioacoustics
by: Rauch, Lukas, et al.
Published: (2024)
by: Rauch, Lukas, et al.
Published: (2024)
No Free Lunch: Retrieval-Augmented Generation Undermines Fairness in LLMs, Even for Vigilant Users
by: Hu, Mengxuan, et al.
Published: (2024)
by: Hu, Mengxuan, et al.
Published: (2024)
DADO -- Low-Cost Query Strategies for Deep Active Design Optimization
by: Decke, Jens, et al.
Published: (2023)
by: Decke, Jens, et al.
Published: (2023)
Queries Are Not Alone: Clustering Text Embeddings for Video Search
by: Liu, Peyang, et al.
Published: (2025)
by: Liu, Peyang, et al.
Published: (2025)
Hashing-Baseline: Rethinking Hashing in the Age of Pretrained Models
by: Moummad, Ilyass, et al.
Published: (2025)
by: Moummad, Ilyass, et al.
Published: (2025)
Aligned Query Expansion: Efficient Query Expansion for Information Retrieval through LLM Alignment
by: Yang, Adam, et al.
Published: (2025)
by: Yang, Adam, et al.
Published: (2025)
Demographically-Inspired Query Variants Using an LLM
by: Alaofi, Marwah, et al.
Published: (2025)
by: Alaofi, Marwah, et al.
Published: (2025)
Exploring the Nexus Between Retrievability and Query Generation Strategies
by: Sinha, Aman, et al.
Published: (2024)
by: Sinha, Aman, et al.
Published: (2024)
LIST: Learning to Index Spatio-Textual Data for Embedding based Spatial Keyword Queries
by: Yin, Ziqi, et al.
Published: (2024)
by: Yin, Ziqi, et al.
Published: (2024)
Are All Genders Equal in the Eyes of Algorithms? -- Analysing Search and Retrieval Algorithms for Algorithmic Gender Fairness
by: Urchs, Stefanie, et al.
Published: (2025)
by: Urchs, Stefanie, et al.
Published: (2025)
A Reproducibility and Generalizability Study of Large Language Models for Query Generation
by: Staudinger, Moritz, et al.
Published: (2024)
by: Staudinger, Moritz, et al.
Published: (2024)
AutoBool: An Reinforcement-Learning trained LLM for Effective Automated Boolean Query Generation for Systematic Reviews
by: Wang, Shuai, et al.
Published: (2025)
by: Wang, Shuai, et al.
Published: (2025)
Query Drift Compensation: Enabling Compatibility in Continual Learning of Retrieval Embedding Models
by: Goswami, Dipam, et al.
Published: (2025)
by: Goswami, Dipam, et al.
Published: (2025)
LLM-based Semantic Search for Conversational Queries in E-commerce
by: Siddiqui, Emad, et al.
Published: (2026)
by: Siddiqui, Emad, et al.
Published: (2026)
LEXA: Legal Case Retrieval via Graph Contrastive Learning with Contextualised LLM Embeddings
by: Tang, Yanran, et al.
Published: (2024)
by: Tang, Yanran, et al.
Published: (2024)
HyQE: Ranking Contexts with Hypothetical Query Embeddings
by: Zhou, Weichao, et al.
Published: (2024)
by: Zhou, Weichao, et al.
Published: (2024)
Transform Before You Query: A Privacy-Preserving Approach for Vector Retrieval with Embedding Space Alignment
by: He, Ruiqi, et al.
Published: (2025)
by: He, Ruiqi, et al.
Published: (2025)
QueryGym: A Toolkit for Reproducible LLM-Based Query Reformulation
by: Bigdeli, Amin, et al.
Published: (2025)
by: Bigdeli, Amin, et al.
Published: (2025)
LLM-based Weak Supervision Framework for Query Intent Classification in Video Search
by: Javadi, Farnoosh, et al.
Published: (2024)
by: Javadi, Farnoosh, et al.
Published: (2024)
RL-based Query Rewriting with Distilled LLM for online E-Commerce Systems
by: Nguyen, Duy A., et al.
Published: (2025)
by: Nguyen, Duy A., et al.
Published: (2025)
HIVE: Query, Hypothesize, Verify An LLM Framework for Multimodal Reasoning-Intensive Retrieval
by: Abdalla, Mahmoud, et al.
Published: (2026)
by: Abdalla, Mahmoud, et al.
Published: (2026)
LLM-PQA: LLM-enhanced Prediction Query Answering
by: Li, Ziyu, et al.
Published: (2024)
by: Li, Ziyu, et al.
Published: (2024)
Counterfactual Query Rewriting to Use Historical Relevance Feedback
by: Keller, Jüri, et al.
Published: (2025)
by: Keller, Jüri, et al.
Published: (2025)
Meta Learning to Rank for Sparsely Supervised Queries
by: Wu, Xuyang, et al.
Published: (2024)
by: Wu, Xuyang, et al.
Published: (2024)
LLM4ES: Learning User Embeddings from Event Sequences via Large Language Models
by: Shestov, Aleksei, et al.
Published: (2025)
by: Shestov, Aleksei, et al.
Published: (2025)
Enhancing Hotel Recommendations with AI: LLM-Based Review Summarization and Query-Driven Insights
by: Belibasakis, Nikolaos, et al.
Published: (2025)
by: Belibasakis, Nikolaos, et al.
Published: (2025)
Personalize Before Retrieve: LLM-based Personalized Query Expansion for User-Centric Retrieval
by: Zhang, Yingyi, et al.
Published: (2025)
by: Zhang, Yingyi, et al.
Published: (2025)
Multi-Aspect Reviewed-Item Retrieval via LLM Query Decomposition and Aspect Fusion
by: Korikov, Anton, et al.
Published: (2024)
by: Korikov, Anton, et al.
Published: (2024)
Cost-Aware Query Policies in Active Learning for Efficient Autonomous Robotic Exploration
by: Akins, Sapphira, et al.
Published: (2024)
by: Akins, Sapphira, et al.
Published: (2024)
The LLM Effect on IR Benchmarks: A Meta-Analysis of Effectiveness, Baselines, and Contamination
by: Staudinger, Moritz, et al.
Published: (2026)
by: Staudinger, Moritz, et al.
Published: (2026)
ACE: Anisotropy-Controllable Embedding for LLM-enhanced Sequential Recommendation
by: Lee, Dongcheol, et al.
Published: (2026)
by: Lee, Dongcheol, et al.
Published: (2026)
Similar Items
-
Cleaning the Pool: Progressive Filtering of Unlabeled Pools in Deep Active Learning
by: Huseljic, Denis, et al.
Published: (2025) -
dopanim: A Dataset of Doppelganger Animals with Noisy Annotations from Multiple Humans
by: Herde, Marek, et al.
Published: (2024) -
Fast Fishing: Approximating BAIT for Efficient and Scalable Deep Active Image Classification
by: Huseljic, Denis, et al.
Published: (2024) -
crowd-hpo: Realistic Hyperparameter Optimization and Benchmarking for Learning from Crowds with Noisy Labels
by: Herde, Marek, et al.
Published: (2025) -
Annot-Mix: Learning with Noisy Class Labels from Multiple Annotators via a Mixup Extension
by: Herde, Marek, et al.
Published: (2024)