LLM4GRN: Discovering Causal Gene Regulatory Networks with LLMs -- Evaluation through Synthetic Data Generation
Fuente:
arXiv
Saved in:
| Main Authors: | Afonja, Tejumade, Sheth, Ivaxi, Binkyte, Ruta, Hanif, Waqar, Ulas, Thomas, Becker, Matthias, Fritz, Mario |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
CausalGraph2LLM: Evaluating LLMs for Causal Queries
by: Sheth, Ivaxi, et al.
Published: (2024)
by: Sheth, Ivaxi, et al.
Published: (2024)
Trustworthy AI Suffers from Invariance Conflicts and Causality is The Solution
by: Binkyte, Ruta, et al.
Published: (2026)
by: Binkyte, Ruta, et al.
Published: (2026)
Causality Is Key to Understand and Balance Multiple Goals in Trustworthy ML and Foundation Models
by: Binkyte, Ruta, et al.
Published: (2025)
by: Binkyte, Ruta, et al.
Published: (2025)
Safety Must Precede the Deployment of Open-Ended AI
by: Sheth, Ivaxi, et al.
Published: (2025)
by: Sheth, Ivaxi, et al.
Published: (2025)
Justice in Judgment: Unveiling (Hidden) Bias in LLM-assisted Peer Reviews
by: Vasu, Sai Suresh Macharla, et al.
Published: (2025)
by: Vasu, Sai Suresh Macharla, et al.
Published: (2025)
Towards Biologically Plausible and Private Gene Expression Data Generation
by: Chen, Dingfan, et al.
Published: (2024)
by: Chen, Dingfan, et al.
Published: (2024)
Interactional Fairness in LLM Multi-Agent Systems: An Evaluation Framework
by: Binkyte, Ruta
Published: (2025)
by: Binkyte, Ruta
Published: (2025)
ProtocolLLM: RTL Benchmark for SystemVerilog Generation of Communication Protocols
by: Sheth, Arnav, et al.
Published: (2025)
by: Sheth, Arnav, et al.
Published: (2025)
Context-Aware Reasoning On Parametric Knowledge for Inferring Causal Variables
by: Sheth, Ivaxi, et al.
Published: (2024)
by: Sheth, Ivaxi, et al.
Published: (2024)
DP-2Stage: Adapting Language Models as Differentially Private Tabular Data Generators
by: Afonja, Tejumade, et al.
Published: (2024)
by: Afonja, Tejumade, et al.
Published: (2024)
IV Co-Scientist: Multi-Agent LLM Framework for Causal Instrumental Variable Discovery
by: Sheth, Ivaxi, et al.
Published: (2026)
by: Sheth, Ivaxi, et al.
Published: (2026)
Funny or Persuasive, but Not Both: Evaluating Fine-Grained Multi-Concept Control in LLMs
by: Labroo, Arya, et al.
Published: (2026)
by: Labroo, Arya, et al.
Published: (2026)
Self-Improving Tabular Language Models via Iterative Reward-Guided Post-Training
by: Long, Yunbo, et al.
Published: (2026)
by: Long, Yunbo, et al.
Published: (2026)
On the Need and Applicability of Causality for Fairness: A Unified Framework for AI Auditing and Legal Analysis
by: Binkyte, Ruta, et al.
Published: (2022)
by: Binkyte, Ruta, et al.
Published: (2022)
Accept or Deny? Evaluating LLM Fairness and Performance in Loan Approval across Table-to-Text Serialization Approaches
by: Azime, Israel Abebe, et al.
Published: (2025)
by: Azime, Israel Abebe, et al.
Published: (2025)
LLM Task Interference: An Initial Study on the Impact of Task-Switch in Conversational History
by: Gupta, Akash, et al.
Published: (2024)
by: Gupta, Akash, et al.
Published: (2024)
Cross-Lingual LLM-Judge Transfer via Evaluation Decomposition
by: Sheth, Ivaxi, et al.
Published: (2026)
by: Sheth, Ivaxi, et al.
Published: (2026)
BaBE: Enhancing Fairness via Estimation of Latent Explaining Variables
by: Binkyte, Ruta, et al.
Published: (2023)
by: Binkyte, Ruta, et al.
Published: (2023)
Hidden in Memory: Sleeper Memory Poisoning in LLM Agents
by: Pulipaka, Sidharth, et al.
Published: (2026)
by: Pulipaka, Sidharth, et al.
Published: (2026)
Inspectable AI for Science: A Research Object Approach to Generative AI Governance
by: Binkyte, Ruta, et al.
Published: (2026)
by: Binkyte, Ruta, et al.
Published: (2026)
Causal Discovery Under Local Privacy
by: Binkytė, Rūta, et al.
Published: (2023)
by: Binkytė, Rūta, et al.
Published: (2023)
Performant ASR Models for Medical Entities in Accented Speech
by: Afonja, Tejumade, et al.
Published: (2024)
by: Afonja, Tejumade, et al.
Published: (2024)
On the Origins of Sampling Bias: Implications on Fairness Measurement and Mitigation
by: Zhioua, Sami, et al.
Published: (2025)
by: Zhioua, Sami, et al.
Published: (2025)
PersistBench: When Should Long-Term Memories Be Forgotten by LLMs?
by: Pulipaka, Sidharth, et al.
Published: (2026)
by: Pulipaka, Sidharth, et al.
Published: (2026)
Causal Discovery on Dependent Mixed Data with Applications to Gene Regulatory Network Inference
by: Chen, Alex, et al.
Published: (2026)
by: Chen, Alex, et al.
Published: (2026)
Learning to Discover Regulatory Elements for Gene Expression Prediction
by: Su, Xingyu, et al.
Published: (2025)
by: Su, Xingyu, et al.
Published: (2025)
The Human Labour of Data Work: Capturing Cultural Diversity through World Wide Dishes
by: Hall, Siobhan Mackenzie, et al.
Published: (2025)
by: Hall, Siobhan Mackenzie, et al.
Published: (2025)
Gene Regulatory Network Inference in the Presence of Dropouts: a Causal View
by: Dai, Haoyue, et al.
Published: (2024)
by: Dai, Haoyue, et al.
Published: (2024)
LOI of profile GRN-I
by: O'Connell, Michael, et al.
Published: (2020)
by: O'Connell, Michael, et al.
Published: (2020)
Macrofossils of profile GRN-I
by: O'Connell, Michael, et al.
Published: (2020)
by: O'Connell, Michael, et al.
Published: (2020)
On Hybrid Gene Regulatory Networks
by: Wurm, Adrian, et al.
Published: (2024)
by: Wurm, Adrian, et al.
Published: (2024)
GPO-VAE: Modeling Explainable Gene Perturbation Responses utilizing GRN-Aligned Parameter Optimization
by: Baek, Seungheun, et al.
Published: (2025)
by: Baek, Seungheun, et al.
Published: (2025)
1000 African Voices: Advancing inclusive multi-speaker multi-accent speech synthesis
by: Ogun, Sewade, et al.
Published: (2024)
by: Ogun, Sewade, et al.
Published: (2024)
Age determination of profile GRN-I
by: O'Connell, Michael, et al.
Published: (2020)
by: O'Connell, Michael, et al.
Published: (2020)
Gene Regulatory Networks of LINCS and TCGA
by: Tosaki, Taisei, et al.
Published: (2025)
by: Tosaki, Taisei, et al.
Published: (2025)
Biological Regulatory Network Inference through Circular Causal Structure Learning
by: Jiang, Hongyang, et al.
Published: (2025)
by: Jiang, Hongyang, et al.
Published: (2025)
Survey on AI Ethics: A Socio-technical Perspective
by: Mbiazi, Dave, et al.
Published: (2023)
by: Mbiazi, Dave, et al.
Published: (2023)
A Robust Deep Temporal Causal Discovery Platform for Single‐Cell Gene Regulatory Network Reconstruction
by: Nishi Gupta, et al.
Published: (2026)
by: Nishi Gupta, et al.
Published: (2026)
Tensor Network based Gene Regulatory Network Inference for Single-Cell Transcriptomic Data
by: Larrarte, Olatz Sanz, et al.
Published: (2025)
by: Larrarte, Olatz Sanz, et al.
Published: (2025)
Kolmogorov-Arnold Network for Gene Regulatory Network Inference
by: Tong, Tsz Pan, et al.
Published: (2025)
by: Tong, Tsz Pan, et al.
Published: (2025)
Similar Items
-
CausalGraph2LLM: Evaluating LLMs for Causal Queries
by: Sheth, Ivaxi, et al.
Published: (2024) -
Trustworthy AI Suffers from Invariance Conflicts and Causality is The Solution
by: Binkyte, Ruta, et al.
Published: (2026) -
Causality Is Key to Understand and Balance Multiple Goals in Trustworthy ML and Foundation Models
by: Binkyte, Ruta, et al.
Published: (2025) -
Safety Must Precede the Deployment of Open-Ended AI
by: Sheth, Ivaxi, et al.
Published: (2025) -
Justice in Judgment: Unveiling (Hidden) Bias in LLM-assisted Peer Reviews
by: Vasu, Sai Suresh Macharla, et al.
Published: (2025)