Comparative Performance Evaluation of Large Language Models for Extracting Molecular Interactions and Pathway Knowledge
Fuente:
arXiv
Saved in:
| Main Authors: | Park, Gilchan, Yoon, Byung-Jun, Luo, Xihaier, López-Marrero, Vanessa, Yoo, Shinjae, Jha, Shantenu |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Extracting Protein-Protein Interactions (PPIs) from Biomedical Literature using Attention-based Relational Context Information
by: Park, Gilchan, et al.
Published: (2024)
by: Park, Gilchan, et al.
Published: (2024)
Density Estimation via Measure Transport: Outlook for Applications in the Biological Sciences
by: Lopez-Marrero, Vanessa, et al.
Published: (2023)
by: Lopez-Marrero, Vanessa, et al.
Published: (2023)
Density estimation via measure transport: Outlook for applications in the biological sciences
by: Vanessa López‐Marrero, et al.
Published: (2024)
by: Vanessa López‐Marrero, et al.
Published: (2024)
Enhancing Future Link Prediction in Quantum Computing Semantic Networks through LLM-Initiated Node Features
by: Park, Gilchan, et al.
Published: (2024)
by: Park, Gilchan, et al.
Published: (2024)
Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis
by: Jantre, Sanket, et al.
Published: (2025)
by: Jantre, Sanket, et al.
Published: (2025)
Uncertainty-Calibrated Spatiotemporal Field Diffusion with Sparse Supervision
by: Valencia, Kevin, et al.
Published: (2026)
by: Valencia, Kevin, et al.
Published: (2026)
Evidential Deep Learning for Probabilistic Modelling of Extreme Storm Events
by: Khot, Ayush, et al.
Published: (2024)
by: Khot, Ayush, et al.
Published: (2024)
Hierarchical Neural Operator Transformer with Learnable Frequency-aware Loss Prior for Arbitrary-scale Super-resolution
by: Luo, Xihaier, et al.
Published: (2024)
by: Luo, Xihaier, et al.
Published: (2024)
GST-UNet: A Neural Framework for Spatiotemporal Causal Inference with Time-Varying Confounding
by: Oprescu, Miruna, et al.
Published: (2025)
by: Oprescu, Miruna, et al.
Published: (2025)
OmniField: Conditioned Neural Fields for Robust Multimodal Spatiotemporal Learning
by: Valencia, Kevin, et al.
Published: (2025)
by: Valencia, Kevin, et al.
Published: (2025)
Continuous Field Reconstruction from Sparse Observations with Implicit Neural Networks
by: Luo, Xihaier, et al.
Published: (2024)
by: Luo, Xihaier, et al.
Published: (2024)
SCENT: Robust Spatiotemporal Learning for Continuous Scientific Data via Scalable Conditioned Neural Fields
by: Park, David Keetae, et al.
Published: (2025)
by: Park, David Keetae, et al.
Published: (2025)
Dynamical Implicit Neural Representations
by: Park, Yesom, et al.
Published: (2025)
by: Park, Yesom, et al.
Published: (2025)
STACI: Spatio-Temporal Aleatoric Conformal Inference
by: Feng, Brandon R., et al.
Published: (2025)
by: Feng, Brandon R., et al.
Published: (2025)
The Rosetta Paradox: Domain-Specific Performance Inversions in Large Language Models
by: Jha, Basab, et al.
Published: (2024)
by: Jha, Basab, et al.
Published: (2024)
CLST: Cold-Start Mitigation in Knowledge Tracing by Aligning a Generative Language Model as a Students' Knowledge Tracer
by: Jung, Heeseok, et al.
Published: (2024)
by: Jung, Heeseok, et al.
Published: (2024)
ChroKnowledge: Unveiling Chronological Knowledge of Language Models in Multiple Domains
by: Park, Yein, et al.
Published: (2024)
by: Park, Yein, et al.
Published: (2024)
Advancing Beyond Identification: Multi-bit Watermark for Large Language Models
by: Yoo, KiYoon, et al.
Published: (2023)
by: Yoo, KiYoon, et al.
Published: (2023)
Is Safety Standard Same for Everyone? User-Specific Safety Evaluation of Large Language Models
by: In, Yeonjun, et al.
Published: (2025)
by: In, Yeonjun, et al.
Published: (2025)
PapersPlease: A Benchmark for Evaluating Motivational Values of Large Language Models Based on ERG Theory
by: Myung, Junho, et al.
Published: (2025)
by: Myung, Junho, et al.
Published: (2025)
MechELK: A Mechanistic Interpretability Framework for Eliciting Latent Knowledge in Large Language Models
by: Park, Ji-jun, et al.
Published: (2026)
by: Park, Ji-jun, et al.
Published: (2026)
GeoLLM: Extracting Geospatial Knowledge from Large Language Models
by: Manvi, Rohin, et al.
Published: (2023)
by: Manvi, Rohin, et al.
Published: (2023)
Variable Rate Neural Compression for Sparse Detector Data
by: Huang, Yi, et al.
Published: (2024)
by: Huang, Yi, et al.
Published: (2024)
Can Video LLMs Refuse to Answer? Alignment for Answerability in Video Large Language Models
by: Yoon, Eunseop, et al.
Published: (2025)
by: Yoon, Eunseop, et al.
Published: (2025)
Finding Answers in Thought Matters: Revisiting Evaluation on Large Language Models with Reasoning
by: Jo, Hwiyeol, et al.
Published: (2025)
by: Jo, Hwiyeol, et al.
Published: (2025)
Dataverse: Open-Source ETL (Extract, Transform, Load) Pipeline for Large Language Models
by: Park, Hyunbyung, et al.
Published: (2024)
by: Park, Hyunbyung, et al.
Published: (2024)
KIEval: A Knowledge-grounded Interactive Evaluation Framework for Large Language Models
by: Yu, Zhuohao, et al.
Published: (2024)
by: Yu, Zhuohao, et al.
Published: (2024)
Can Large Language Models Predict Antimicrobial Resistance Gene?
by: Yoo, Hyunwoo
Published: (2025)
by: Yoo, Hyunwoo
Published: (2025)
Pragmatic Competence Evaluation of Large Language Models for the Korean Language
by: Park, Dojun, et al.
Published: (2024)
by: Park, Dojun, et al.
Published: (2024)
HerO at AVeriTeC: The Herd of Open Large Language Models for Verifying Real-World Claims
by: Yoon, Yejun, et al.
Published: (2024)
by: Yoon, Yejun, et al.
Published: (2024)
Evaluating Hydro-Science and Engineering Knowledge of Large Language Models
by: Hu, Shiruo, et al.
Published: (2025)
by: Hu, Shiruo, et al.
Published: (2025)
Efficient Compression of Sparse Accelerator Data Using Implicit Neural Representations and Importance Sampling
by: Luo, Xihaier, et al.
Published: (2024)
by: Luo, Xihaier, et al.
Published: (2024)
Envisioning National Resources for Artificial Intelligence Research: NSF Workshop Report
by: Jha, Shantenu, et al.
Published: (2024)
by: Jha, Shantenu, et al.
Published: (2024)
A Survey on Inference Engines for Large Language Models: Perspectives on Optimization and Efficiency
by: Park, Sihyeong, et al.
Published: (2025)
by: Park, Sihyeong, et al.
Published: (2025)
Enhancing Molecular Property Prediction with Knowledge from Large Language Models
by: Zhou, Peng, et al.
Published: (2025)
by: Zhou, Peng, et al.
Published: (2025)
Can Large Language Models Keep Up? Benchmarking Online Adaptation to Continual Knowledge Streams
by: Kim, Jiyeon, et al.
Published: (2026)
by: Kim, Jiyeon, et al.
Published: (2026)
AI-Enhanced Cognitive Behavioral Therapy: Deep Learning and Large Language Models for Extracting Cognitive Pathways from Social Media Texts
by: Jiang, Meng, et al.
Published: (2024)
by: Jiang, Meng, et al.
Published: (2024)
Hypothetical Documents or Knowledge Leakage? Rethinking LLM-based Query Expansion
by: Yoon, Yejun, et al.
Published: (2025)
by: Yoon, Yejun, et al.
Published: (2025)
Carpe Diem: On the Evaluation of World Knowledge in Lifelong Language Models
by: Kim, Yujin, et al.
Published: (2023)
by: Kim, Yujin, et al.
Published: (2023)
Extracting Probabilistic Knowledge from Large Language Models for Bayesian Network Parameterization
by: Nafar, Aliakbar, et al.
Published: (2025)
by: Nafar, Aliakbar, et al.
Published: (2025)
Similar Items
-
Extracting Protein-Protein Interactions (PPIs) from Biomedical Literature using Attention-based Relational Context Information
by: Park, Gilchan, et al.
Published: (2024) -
Density Estimation via Measure Transport: Outlook for Applications in the Biological Sciences
by: Lopez-Marrero, Vanessa, et al.
Published: (2023) -
Density estimation via measure transport: Outlook for applications in the biological sciences
by: Vanessa López‐Marrero, et al.
Published: (2024) -
Enhancing Future Link Prediction in Quantum Computing Semantic Networks through LLM-Initiated Node Features
by: Park, Gilchan, et al.
Published: (2024) -
Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis
by: Jantre, Sanket, et al.
Published: (2025)