Saved in:
| Main Authors: | Adam, Daniel, Kliegr, Tomáš |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2409.07507 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Meaningless is better: hashing bias-inducing words in LLM prompts improves performance in logical reasoning and statistical learning
by: Chadimová, Milena, et al.
Published: (2024)
by: Chadimová, Milena, et al.
Published: (2024)
LLM-based feature generation from text for interpretable machine learning
by: Balek, Vojtěch, et al.
Published: (2024)
by: Balek, Vojtěch, et al.
Published: (2024)
An Ad-hoc graph node vector embedding algorithm for general knowledge graphs using Kinetica-Graph
by: Karamete, B. Kaan, et al.
Published: (2024)
by: Karamete, B. Kaan, et al.
Published: (2024)
Evaluating the Use of LLMs for Documentation to Code Traceability
by: Alor, Ebube, et al.
Published: (2025)
by: Alor, Ebube, et al.
Published: (2025)
Collaboratively adding new knowledge to an LLM
by: Lee, Rhui Dih, et al.
Published: (2024)
by: Lee, Rhui Dih, et al.
Published: (2024)
Predicting clinical outcomes from patient care pathways represented with temporal knowledge graphs
by: Jhee, Jong Ho, et al.
Published: (2025)
by: Jhee, Jong Ho, et al.
Published: (2025)
LLM enhanced graph inference for long-term disease progression modelling
by: He, Tiantian, et al.
Published: (2025)
by: He, Tiantian, et al.
Published: (2025)
Zero-knowledge LLM hallucination detection and mitigation through fine-grained cross-model consistency
by: Goel, Aman, et al.
Published: (2025)
by: Goel, Aman, et al.
Published: (2025)
A federated learning framework with knowledge graph and temporal transformer for early sepsis prediction in multi-center ICUs
by: Chang, Yue, et al.
Published: (2026)
by: Chang, Yue, et al.
Published: (2026)
FedTracker: Furnishing Ownership Verification and Traceability for Federated Learning Model
by: Shao, Shuo, et al.
Published: (2022)
by: Shao, Shuo, et al.
Published: (2022)
Augmenting generative models with biomedical knowledge graphs improves targeted drug discovery
by: Malusare, Aditya, et al.
Published: (2025)
by: Malusare, Aditya, et al.
Published: (2025)
Tracing the Data Trail: A Survey of Data Provenance, Transparency and Traceability in LLMs
by: Hohensinner, Richard, et al.
Published: (2026)
by: Hohensinner, Richard, et al.
Published: (2026)
Forecasting high-impact research topics via machine learning on evolving knowledge graphs
by: Gu, Xuemei, et al.
Published: (2024)
by: Gu, Xuemei, et al.
Published: (2024)
Structural Positional Encoding for knowledge integration in transformer-based medical process monitoring
by: Irwin, Christopher, et al.
Published: (2024)
by: Irwin, Christopher, et al.
Published: (2024)
HKD-SHO: A hybrid smart home system based on knowledge-based and data-driven services
by: Qiu, Mingming, et al.
Published: (2024)
by: Qiu, Mingming, et al.
Published: (2024)
A Modular Dataset to Demonstrate LLM Abstraction Capability
by: Atanas, Adam, et al.
Published: (2025)
by: Atanas, Adam, et al.
Published: (2025)
FastODT: A tree-based framework for efficient continual learning
by: Bretsko, Daniel, et al.
Published: (2026)
by: Bretsko, Daniel, et al.
Published: (2026)
MQuinE: a cure for "Z-paradox" in knowledge graph embedding models
by: Liu, Yang, et al.
Published: (2024)
by: Liu, Yang, et al.
Published: (2024)
FedKBP: Federated dose prediction framework for knowledge-based planning in radiation therapy
by: Chen, Jingyun, et al.
Published: (2024)
by: Chen, Jingyun, et al.
Published: (2024)
DecomposeRL: Learning to Ask Useful, Informative, and Diverse Questions for Semi-Supervised, Traceable Claim Verification
by: Dipta, Shubhashis Roy, et al.
Published: (2026)
by: Dipta, Shubhashis Roy, et al.
Published: (2026)
An end-to-end attention-based approach for learning on graphs
by: Buterez, David, et al.
Published: (2024)
by: Buterez, David, et al.
Published: (2024)
A survey on knowledge-enhanced multimodal learning
by: Lymperaiou, Maria, et al.
Published: (2022)
by: Lymperaiou, Maria, et al.
Published: (2022)
It's Not You, It's Clipping: A Soft Trust-Region via Probability Smoothing for LLM RL
by: Dwyer, Madeleine, et al.
Published: (2025)
by: Dwyer, Madeleine, et al.
Published: (2025)
Enhancing interpretability of rule-based classifiers through feature graphs
by: Sirocchi, Christel, et al.
Published: (2025)
by: Sirocchi, Christel, et al.
Published: (2025)
Applying sparse autoencoders to unlearn knowledge in language models
by: Farrell, Eoin, et al.
Published: (2024)
by: Farrell, Eoin, et al.
Published: (2024)
LLM Advertisement based on Neuron Auctions
by: Yun, Peiran, et al.
Published: (2026)
by: Yun, Peiran, et al.
Published: (2026)
Quantifying construct validity in large language model evaluations
by: Kearns, Ryan Othniel
Published: (2026)
by: Kearns, Ryan Othniel
Published: (2026)
One Size Fits None: Modeling NYC Taxi Trips
by: Eglinskas, Tomas
Published: (2025)
by: Eglinskas, Tomas
Published: (2025)
Structured prompt interrogation and recursive extraction of semantics (SPIRES): A method for populating knowledge bases using zero-shot learning
by: Caufield, J. Harry, et al.
Published: (2023)
by: Caufield, J. Harry, et al.
Published: (2023)
Geo-Semantic-Parsing: AI-powered geoparsing by traversing semantic knowledge graphs
by: Nizzoli, Leonardo, et al.
Published: (2025)
by: Nizzoli, Leonardo, et al.
Published: (2025)
Chemical knowledge-informed framework for privacy-aware retrosynthesis learning
by: Chen, Guikun, et al.
Published: (2025)
by: Chen, Guikun, et al.
Published: (2025)
Steered LLM Activations are Non-Surjective
by: Mishra, Aayush, et al.
Published: (2026)
by: Mishra, Aayush, et al.
Published: (2026)
The Boy Who Survived: Removing Harry Potter from an LLM is harder than reported
by: Shostack, Adam
Published: (2024)
by: Shostack, Adam
Published: (2024)
Mechanistic understanding and validation of large AI models with SemanticLens
by: Dreyer, Maximilian, et al.
Published: (2025)
by: Dreyer, Maximilian, et al.
Published: (2025)
PF-GNN: Differentiable particle filtering based approximation of universal graph representations
by: Dupty, Mohammed Haroon, et al.
Published: (2024)
by: Dupty, Mohammed Haroon, et al.
Published: (2024)
Trust the uncertain teacher: distilling dark knowledge via calibrated uncertainty
by: Kim, Jeonghyun, et al.
Published: (2026)
by: Kim, Jeonghyun, et al.
Published: (2026)
Actionable and diverse counterfactual explanations incorporating domain knowledge and plausibility constraints
by: Bobek, Szymon, et al.
Published: (2025)
by: Bobek, Szymon, et al.
Published: (2025)
MISE: Meta-knowledge Inheritance for Social Media-Based Stressor Estimation
by: Wang, Xin, et al.
Published: (2025)
by: Wang, Xin, et al.
Published: (2025)
Robustly Improving LLM Fairness in Realistic Settings via Interpretability
by: Karvonen, Adam, et al.
Published: (2025)
by: Karvonen, Adam, et al.
Published: (2025)
Jump Start or False Start? A Theoretical and Empirical Evaluation of LLM-initialized Bandits
by: Bayley, Adam, et al.
Published: (2026)
by: Bayley, Adam, et al.
Published: (2026)
Similar Items
-
Meaningless is better: hashing bias-inducing words in LLM prompts improves performance in logical reasoning and statistical learning
by: Chadimová, Milena, et al.
Published: (2024) -
LLM-based feature generation from text for interpretable machine learning
by: Balek, Vojtěch, et al.
Published: (2024) -
An Ad-hoc graph node vector embedding algorithm for general knowledge graphs using Kinetica-Graph
by: Karamete, B. Kaan, et al.
Published: (2024) -
Evaluating the Use of LLMs for Documentation to Code Traceability
by: Alor, Ebube, et al.
Published: (2025) -
Collaboratively adding new knowledge to an LLM
by: Lee, Rhui Dih, et al.
Published: (2024)