DrugReasoner: Interpretable Drug Approval Prediction with a Reasoning-augmented Language Model
Fuente:
arXiv
Saved in:
| Main Authors: | Ghaffarzadeh-Esfahani, Mohammadreza, Motahharynia, Ali, Yousefian, Nahid, Mazrouei, Navid, Ghaisari, Jafar, Gheisari, Yousof |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
DrugGen: Advancing Drug Discovery with Large Language Models and Reinforcement Learning Feedback
by: Sheikholeslami, Mahsa, et al.
Published: (2024)
by: Sheikholeslami, Mahsa, et al.
Published: (2024)
Induce, Align, Predict: Zero-Shot Stance Detection via Cognitive Inductive Reasoning
by: Zhang, Bowen, et al.
Published: (2025)
by: Zhang, Bowen, et al.
Published: (2025)
AAVGen: Precision Engineering of Adeno-associated Viral Capsids for Renal Selective Targeting
by: Ghaffarzadeh-Esfahani, Mohammadreza, et al.
Published: (2026)
by: Ghaffarzadeh-Esfahani, Mohammadreza, et al.
Published: (2026)
Planning vs Reasoning: Ablations to Test Capabilities of LoRA layers
by: Redkar, Neel
Published: (2024)
by: Redkar, Neel
Published: (2024)
Evaluating the Systematic Reasoning Abilities of Large Language Models through Graph Coloring
by: Heyman, Alex, et al.
Published: (2025)
by: Heyman, Alex, et al.
Published: (2025)
Physics-R1: An Audited Olympiad Corpus and Recipe for Visual Physics Reasoning
by: Yang, Shan
Published: (2026)
by: Yang, Shan
Published: (2026)
BitCal-TTS: Bit-Calibrated Test-Time Scaling for Quantized Reasoning Models
by: Patarlapalli, Sai Babu, et al.
Published: (2026)
by: Patarlapalli, Sai Babu, et al.
Published: (2026)
D-COT: Disciplined Chain-of-Thought Learning for Efficient Reasoning in Small Language Models
by: Ubukata, Shunsuke
Published: (2026)
by: Ubukata, Shunsuke
Published: (2026)
Survey Transfer Learning: Recycling Data with Silicon Responses
by: Amini, Ali
Published: (2025)
by: Amini, Ali
Published: (2025)
HIP Network: Historical Information Passing Network for Extrapolation Reasoning on Temporal Knowledge Graph
by: He, Yongquan, et al.
Published: (2024)
by: He, Yongquan, et al.
Published: (2024)
TRiMS: Real-Time Tracking of Minimal Sufficient Length for Efficient Reasoning via RL
by: Bian, Tingcheng, et al.
Published: (2026)
by: Bian, Tingcheng, et al.
Published: (2026)
CircuitProbe: Predicting Reasoning Circuits in Transformers via Stability Zone Detection
by: Panuganti, Rajkiran
Published: (2026)
by: Panuganti, Rajkiran
Published: (2026)
UrduBench: An Urdu Reasoning Benchmark using Contextually Ensembled Translations with Human-in-the-Loop
by: Shafique, Muhammad Ali, et al.
Published: (2026)
by: Shafique, Muhammad Ali, et al.
Published: (2026)
When Reasoning Fails: Evaluating 'Thinking' LLMs for Stock Prediction
by: Sodha, Rakeshkumar H
Published: (2025)
by: Sodha, Rakeshkumar H
Published: (2025)
Automated Circuit Interpretation via Probe Prompting
by: Birardi, Giuseppe
Published: (2025)
by: Birardi, Giuseppe
Published: (2025)
The Reasoning-Creativity Trade-off: Toward Creativity-Driven Problem Solving
by: Luyten, Max Ruiz, et al.
Published: (2026)
by: Luyten, Max Ruiz, et al.
Published: (2026)
Descriptive Collision in Sparse Autoencoder Auto-Interpretability: When One Explanation Describes Many Features
by: McCann, Jordan F.
Published: (2026)
by: McCann, Jordan F.
Published: (2026)
MCP: A Control-Theoretic Orchestration Framework for Synergistic Efficiency and Interpretability in Multimodal Large Language Models
by: Zhang, Luyan
Published: (2025)
by: Zhang, Luyan
Published: (2025)
SCULPT: Constraint-Guided Pruned MCTS that Carves Efficient Paths for Mathematical Reasoning
by: Fang, Qitong, et al.
Published: (2026)
by: Fang, Qitong, et al.
Published: (2026)
Scaling Trends for Multi-Hop Contextual Reasoning in Mid-Scale Language Models
by: Steele, Brady, et al.
Published: (2026)
by: Steele, Brady, et al.
Published: (2026)
Intention Collapse: Intention-Level Metrics for Reasoning in Language Models
by: Vera, Patricio
Published: (2026)
by: Vera, Patricio
Published: (2026)
Enhancing Large Language Models through Neuro-Symbolic Integration and Ontological Reasoning
by: Vsevolodovna, Ruslan Idelfonso Magana, et al.
Published: (2025)
by: Vsevolodovna, Ruslan Idelfonso Magana, et al.
Published: (2025)
Entropy-Based Measurement of Value Drift and Alignment Work in Large Language Models
by: Fadli, Samih
Published: (2025)
by: Fadli, Samih
Published: (2025)
Overclocking LLM Reasoning: Monitoring and Controlling Thinking Path Lengths in LLMs
by: Eisenstadt, Roy, et al.
Published: (2025)
by: Eisenstadt, Roy, et al.
Published: (2025)
The Geometry of Thought: How Scale Restructures Reasoning In Large Language Models
by: Anderson, Samuel Cyrenius
Published: (2026)
by: Anderson, Samuel Cyrenius
Published: (2026)
TIME: Temporally Intelligent Meta-reasoning Engine for Context-Triggered Explicit Reasoning
by: Das, Susmit
Published: (2026)
by: Das, Susmit
Published: (2026)
On Semantic Loss Fine-Tuning Approach for Preventing Model Collapse in Causal Reasoning
by: Deshmukh, Pratik, et al.
Published: (2026)
by: Deshmukh, Pratik, et al.
Published: (2026)
BioAlchemy: Distilling Biological Literature into Reasoning-Ready Reinforcement Learning Training Data
by: Hsu, Brian, et al.
Published: (2026)
by: Hsu, Brian, et al.
Published: (2026)
Reasoning Large Language Model Errors Arise from Hallucinating Critical Problem Features
by: Heyman, Alex, et al.
Published: (2025)
by: Heyman, Alex, et al.
Published: (2025)
How Does Unfaithful Reasoning Emerge from Autoregressive Training? A Study of Synthetic Experiments
by: Wang, Fuxin, et al.
Published: (2026)
by: Wang, Fuxin, et al.
Published: (2026)
Assessing Large Language Models on Islamic Legal Reasoning: Evidence from Inheritance Law Evaluation
by: Bouchekif, Abdessalam, et al.
Published: (2025)
by: Bouchekif, Abdessalam, et al.
Published: (2025)
PRISMA: Preference-Reinforced Self-Training Approach for Interpretable Emotionally Intelligent Negotiation Dialogues
by: Kajare, Prajwal Vijay, et al.
Published: (2026)
by: Kajare, Prajwal Vijay, et al.
Published: (2026)
Thinking Machines: Mathematical Reasoning in the Age of LLMs
by: Asperti, Andrea, et al.
Published: (2025)
by: Asperti, Andrea, et al.
Published: (2025)
Domain-aware priors stabilize, not merely enable, vertical federated learning in data-scarce coral multi-omics
by: Victor, Sam
Published: (2025)
by: Victor, Sam
Published: (2025)
Improving Drug Identification in Overdose Death Surveillance using Large Language Models
by: Funnell, Arthur J., et al.
Published: (2025)
by: Funnell, Arthur J., et al.
Published: (2025)
Why Models Know But Don't Say: Chain-of-Thought Faithfulness Divergence Between Thinking Tokens and Answers in Open-Weight Reasoning Models
by: Young, Richard J.
Published: (2026)
by: Young, Richard J.
Published: (2026)
Statistical Scouting Finds Debate-Safe but Not Debate-Useful Cases: A Matched-Ceiling Study of Open-Weight LLM Reasoning Protocols
by: Hu, Julia, et al.
Published: (2026)
by: Hu, Julia, et al.
Published: (2026)
LFC-DA: Logical Formula-Controlled Data Augmentation for Enhanced Logical Reasoning
by: Li, Shenghao
Published: (2025)
by: Li, Shenghao
Published: (2025)
Grokking in the Wild: Data Augmentation for Real-World Multi-Hop Reasoning with Transformers
by: Abramov, Roman, et al.
Published: (2025)
by: Abramov, Roman, et al.
Published: (2025)
Benefits and Limitations of Communication in Multi-Agent Reasoning
by: Rizvi-Martel, Michael, et al.
Published: (2025)
by: Rizvi-Martel, Michael, et al.
Published: (2025)
Similar Items
-
DrugGen: Advancing Drug Discovery with Large Language Models and Reinforcement Learning Feedback
by: Sheikholeslami, Mahsa, et al.
Published: (2024) -
Induce, Align, Predict: Zero-Shot Stance Detection via Cognitive Inductive Reasoning
by: Zhang, Bowen, et al.
Published: (2025) -
AAVGen: Precision Engineering of Adeno-associated Viral Capsids for Renal Selective Targeting
by: Ghaffarzadeh-Esfahani, Mohammadreza, et al.
Published: (2026) -
Planning vs Reasoning: Ablations to Test Capabilities of LoRA layers
by: Redkar, Neel
Published: (2024) -
Evaluating the Systematic Reasoning Abilities of Large Language Models through Graph Coloring
by: Heyman, Alex, et al.
Published: (2025)