DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization | Paper Citation Record

Observation 23139c04-27bb-4f7e-813b-580216ed1d9f · outbound

This paper cites De novo drug design using reinforcement learning with graph-based deep generative models.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization De novo drug design using reinforcement learning with graph-based deep generative models

Reference 1

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This paper cites DrugCentral 2023 extends human clinical data and integrates veterinary drugs.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization DrugCentral 2023 extends human clinical data and integrates veterinary drugs

Reference 2

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This paper cites MolGPT: Molecular generation using a transformer-decoder model.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization MolGPT: Molecular generation using a transformer-decoder model

Reference 3

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This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 4

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This paper cites Constitutional AI: Harmlessness from AI Feedback.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization Constitutional AI: Harmlessness from AI Feedback

Reference 5

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This paper cites Why is tanimoto index an appropriate choice for fingerprint-based similarity calculations? Journal of cheminformatics, 7:1–13, 2015.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization Why is tanimoto index an appropriate choice for fingerprint-based similarity calculations? Journal of cheminformatics, 7:1–13, 2015

Reference 6

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This paper cites Molecular similarity: a key technique in molecular informatics.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization Molecular similarity: a key technique in molecular informatics

Reference 7

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This paper cites Better Rewards Yield Better Summaries: Learning to Summarise Without References.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization Better Rewards Yield Better Summaries: Learning to Summarise Without References

Reference 8

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This paper cites Paccmannrl: De novo generation of hit-like anticancer molecules from transcriptomic data via reinforcement learning.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization Paccmannrl: De novo generation of hit-like anticancer molecules from transcriptomic data via reinforcement learning

Reference 9

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This paper cites Transformers and Large Language Models for Chemistry and Drug Discovery.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization Transformers and Large Language Models for Chemistry and Drug Discovery

Reference 10

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This paper cites Offline rl without off-policy evaluation.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization Offline rl without off-policy evaluation

Reference 11

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This paper cites Safe learning in robotics: From learning-based control to safe reinforcement learning.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization Safe learning in robotics: From learning-based control to safe reinforcement learning

Reference 12

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This paper cites Policy improvement via imitation of multiple oracles.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization Policy improvement via imitation of multiple oracles

Reference 13

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This paper cites Deep reinforcement learning from human preferences.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization Deep reinforcement learning from human preferences

Reference 14

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This paper cites Ai-accelerated protein-ligand docking for sars-cov-2 is 100-fold faster with no significant change in detection.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization Ai-accelerated protein-ligand docking for sars-cov-2 is 100-fold faster with no significant change in detection

Reference 15

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This paper cites The cost of new drug discovery and development.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization The cost of new drug discovery and development

Reference 16

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This paper cites RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment

Reference 17

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This paper cites Estimation of synthetic accessibility score of drug-like molecules based on molecular complexity and fragment contributions.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization Estimation of synthetic accessibility score of drug-like molecules based on molecular complexity and fragment contributions

Reference 18

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This paper cites Neural scaling of deep chemical models.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization Neural scaling of deep chemical models

Reference 19

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This paper cites Mimosa: Multi-constraint molecule sampling for molecule optimization.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization Mimosa: Multi-constraint molecule sampling for molecule optimization

Reference 20

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This paper cites A new algorithm for data compression.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization A new algorithm for data compression

Reference 21

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This paper cites Scaling laws for reward model overoptimization.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization Scaling laws for reward model overoptimization

Reference 22

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This paper cites Learning to navigate the synthetically accessible chemical space using reinforcement learning.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization Learning to navigate the synthetically accessible chemical space using reinforcement learning

Reference 23

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This paper cites Objective-Reinforced Generative Adversarial Networks (ORGAN) for Sequence Generation Models.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization Objective-Reinforced Generative Adversarial Networks (ORGAN) for Sequence Generation Models

Reference 24

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This paper cites Covid-19 vaccines and variants of concern: A review.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization Covid-19 vaccines and variants of concern: A review

Reference 25

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This paper cites Learning from Dialogue after Deployment: Feed Yourself, Chatbot!.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization Learning from Dialogue after Deployment: Feed Yourself, Chatbot!

Reference 26

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Observation 114d79ca-e711-4826-a1ba-021da26e1722 · outbound

This paper cites Molecular optimization by capturing chemist’s intuition using deep neural networks.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization Molecular optimization by capturing chemist’s intuition using deep neural networks

Reference 27

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This paper cites Transformer-based molecular optimization beyond matched molecular pairs.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization Transformer-based molecular optimization beyond matched molecular pairs

Reference 28

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This paper cites Reward learning from human preferences and demonstrations in atari.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization Reward learning from human preferences and demonstrations in atari

Reference 29

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This paper cites The distribution of the flora in the alpine zone.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization The distribution of the flora in the alpine zone

Reference 30

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This paper cites Way Off-Policy Batch Deep Reinforcement Learning of Implicit Human Preferences in Dialog.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization Way Off-Policy Batch Deep Reinforcement Learning of Implicit Human Preferences in Dialog

Reference 31

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This paper cites A graph-based genetic algorithm and generative model/monte carlo tree search for the exploration of chemical space.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization A graph-based genetic algorithm and generative model/monte carlo tree search for the exploration of chemical space

Reference 32

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This paper cites Multi-objective molecule generation using interpretable substructures.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization Multi-objective molecule generation using interpretable substructures

Reference 33

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DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization Posit: flexible shape-guided docking for pose prediction

Reference 34

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This paper cites Giraffe: Using Deep Reinforcement Learning to Play Chess.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization Giraffe: Using Deep Reinforcement Learning to Play Chess

Reference 35

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This paper cites RDkit: Open-source cheminformatics software.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization RDkit: Open-source cheminformatics software

Reference 36

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DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization Rdkit: A software suite for cheminformatics, computational chemistry, and predictive modeling

Reference 37

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This paper cites Scalable agent alignment via reward modeling: a research direction.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization Scalable agent alignment via reward modeling: a research direction

Reference 38

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DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization Drugimprover: Utilizing reinforcement learning for multi-objective alignment in drug optimization

Reference 39

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This paper cites Blending Imitation and Reinforcement Learning for Robust Policy Improvement.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization Blending Imitation and Reinforcement Learning for Robust Policy Improvement

Reference 40

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This paper cites Active policy improvement from multiple black-box oracles.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization Active policy improvement from multiple black-box oracles

Reference 41

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This paper cites Entropy-reinforced planning with large language models for de novo drug discovery.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization Entropy-reinforced planning with large language models for de novo drug discovery

Reference 42

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This paper cites Drugex v3: scaffold-constrained drug design with graph transformer-based reinforcement learning.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization Drugex v3: scaffold-constrained drug design with graph transformer-based reinforcement learning

Reference 43

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This paper cites Reinvent 4: Modern ai–driven generative molecule design.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization Reinvent 4: Modern ai–driven generative molecule design

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:29:11.956432Z

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Observation 92dd2be8-1865-48ae-946d-fe2f337ae38d · outbound

This paper cites The different mechanisms of cancer drug resistance: a brief review.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization The different mechanisms of cancer drug resistance: a brief review

Reference 45

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Observation e480c6e2-d2ed-4c25-b705-2a498bc9e1ba · outbound

This paper cites Playing Atari with Deep Reinforcement Learning.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization Playing Atari with Deep Reinforcement Learning

Reference 46

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This paper cites Exploring deep recurrent models with reinforcement learning for molecule design.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization Exploring deep recurrent models with reinforcement learning for molecule design

Reference 47

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Observation b4507f40-8c05-4b63-893c-b8f11b8e39df · outbound

This paper cites Molecular de-novo design through deep reinforcement learning.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization Molecular de-novo design through deep reinforcement learning

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:29:11.911596Z

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Observation 63ed8f5a-6c28-4931-880e-9b09de5fc5cb · outbound

This paper cites Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning

Reference 49

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This paper cites Combinatorial enumeration of groups, graphs, and chemical compounds.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization Combinatorial enumeration of groups, graphs, and chemical compounds

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:29:11.897575Z

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Observation 324daebc-83d2-460e-9377-5d455a92e951 · outbound

This paper cites Alvinn: An autonomous land vehicle in a neural network.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization Alvinn: An autonomous land vehicle in a neural network

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:29:11.883398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 04c6d37d-e073-472f-8d33-a72063f62fd4 · outbound

This paper cites Deep reinforcement learning for de novo drug design.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization Deep reinforcement learning for de novo drug design

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:29:11.868339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6360c346-a16e-4542-b7ff-68aeffca25f5 · outbound

This paper cites Drug repurposing: Progress, challenges and recommendations.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization Drug repurposing: Progress, challenges and recommendations

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:29:11.853447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 82924bfc-aaeb-4363-9c18-367187623f97 · outbound

This paper cites Direct Preference Optimization: Your Language Model is Secretly a Reward Model.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-08T13:29:10.719469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6274477-7f12-4eb8-8b7f-b78cc1b06e12 · outbound

This paper cites Learning by playing solving sparse reward tasks from scratch.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization Learning by playing solving sparse reward tasks from scratch

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:29:11.838474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9cf7afa3-b90c-453f-9ab1-185431ee459f · outbound

This paper cites Extended-connectivity fingerprints.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization Extended-connectivity fingerprints

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:29:11.822920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 923c1ada-3d19-43c8-bf55-60a20962d984 · outbound

This paper cites Reinforcement and Imitation Learning via Interactive No-Regret Learning.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization Reinforcement and Imitation Learning via Interactive No-Regret Learning

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-08T13:29:10.733657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f3302b8-5f07-40e5-a7e3-74df4faaa6cd · outbound

This paper cites A reduction of imitation learning and structured prediction to no-regret online learning.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization A reduction of imitation learning and structured prediction to no-regret online learning

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:29:11.807028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 08c26f04-fe45-446c-bb7e-c8d7bbe3b902 · outbound

This paper cites C5T5: Controllable Generation of Organic Molecules with Transformers.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization C5T5: Controllable Generation of Organic Molecules with Transformers

Reference 59

Resolution: verified exact; local_arxiv, observed 2026-08-08T13:29:11.090606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e17aae1f-ad39-4e19-ad42-6afc84602047 · outbound

This paper cites Neural Machine Translation of Rare Words with Subword Units.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization Neural Machine Translation of Rare Words with Subword Units

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-08T13:29:10.748664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5178c9a0-2e29-46b7-b83a-c5196241925f · outbound

This paper cites Preference Ranking Optimization for Human Alignment.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization Preference Ranking Optimization for Human Alignment

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-08T13:29:10.753720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10823088-7042-4c39-b78c-4c9fde3ca91f · outbound

This paper cites Deep reinforcement learning for multiparameter optimization in de novo drug design.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization Deep reinforcement learning for multiparameter optimization in de novo drug design

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:29:11.790337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 37ee144e-2f30-4b2f-b5af-21356c0f20be · outbound

This paper cites ZINC15–ligand discovery for everyone.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization ZINC15–ligand discovery for everyone

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:29:11.774076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 44a38208-e0ec-4566-a5d4-4d44c5fc3455 · outbound

This paper cites Learning to summarize with human feedback.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization Learning to summarize with human feedback

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:29:11.758229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 15067d09-f0c6-4d66-9de7-7883d3521f85 · outbound

This paper cites Molsearch: search-based multi-objective molecular generation and property optimization.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization Molsearch: search-based multi-objective molecular generation and property optimization

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:29:11.742320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 469feec5-13f5-47f2-8e77-8d19c8129579 · outbound

This paper cites Policy gradient meth- ods for reinforcement learning with function approximation.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization Policy gradient meth- ods for reinforcement learning with function approximation

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:29:11.726293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d3e42ab1-d33a-4709-affb-8a0690452915 · outbound

This paper cites Reinforcement learning for systems pharmacology-oriented and personalized drug design.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization Reinforcement learning for systems pharmacology-oriented and personalized drug design

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:29:11.711259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 202f7111-55b2-412c-a7ae-549f1931acfe · outbound

This paper cites Drlinker: Deep reinforcement learning for optimization in fragment linking design.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization Drlinker: Deep reinforcement learning for optimization in fragment linking design

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:29:11.694766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e2ce34cb-fe22-4df6-a1f3-e20a89ae72cc · outbound

This paper cites DeepMind Control Suite.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization DeepMind Control Suite

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-08T13:29:10.793596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40b71e8d-b632-4ee5-9a72-464d617a31a7 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-08T13:29:10.799215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fec0ce4c-f3bf-4c3c-a04a-ce7dfaaf87a0 · outbound

This paper cites Matched molecular pair analysis in short: algorithms, applications and limitations.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization Matched molecular pair analysis in short: algorithms, applications and limitations

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:29:11.678824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9a8ed734-2a4a-471a-84c4-28b01a56a7cc · outbound

This paper cites Benchmarking language-based docking models.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization Benchmarking language-based docking models

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:29:11.662679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8bf24568-87e4-47ae-9c4b-bf637c89ade6 · outbound

This paper cites Attention is all you need.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization Attention is all you need

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-08T13:29:10.813976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52f6e24d-3e2b-4499-baeb-dc4bc2aab748 · outbound

This paper cites Leveraging Demonstrations for Deep Reinforcement Learning on Robotics Problems with Sparse Rewards.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization Leveraging Demonstrations for Deep Reinforcement Learning on Robotics Problems with Sparse Rewards

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-08T13:29:10.818690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation edcf64a5-0810-4c24-a6e8-afa7a4f859d0 · outbound

This paper cites A reinforcement learning approach for protein–ligand binding pose prediction.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization A reinforcement learning approach for protein–ligand binding pose prediction

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:29:11.635880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f994b61a-7269-49dd-8090-b8f1ec351a08 · outbound

This paper cites Smiles, a chemical language and information system.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization Smiles, a chemical language and information system

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:29:11.619981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8b7c7211-8225-4e6a-b98a-6183fba0b0d5 · outbound

This paper cites Simple statistical gradient-following algorithms for connectionist reinforce- ment learning.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization Simple statistical gradient-following algorithms for connectionist reinforce- ment learning

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:29:11.604580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 58fa5c6a-c918-4eaa-9ef0-b8dc150444d3 · outbound

This paper cites Recursively Summarizing Books with Human Feedback.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization Recursively Summarizing Books with Human Feedback

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-08T13:29:10.838714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af742400-5b96-4b63-823e-c8c6b4b59aca · outbound

This paper cites Rlcg: When reinforce- ment learning meets coarse graining.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization Rlcg: When reinforce- ment learning meets coarse graining

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:29:11.588909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation dba36a93-4910-49b2-9b99-285bbd402e00 · outbound

This paper cites Towards Coherent and Engaging Spoken Dialog Response Generation Using Automatic Conversation Evaluators.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization Towards Coherent and Engaging Spoken Dialog Response Generation Using Automatic Conversation Evaluators

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-08T13:29:10.848704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1231f94-5d75-4426-8925-59a0c3e6d2bc · outbound

This paper cites Population-based de novo molecule generation, using grammatical evolution.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization Population-based de novo molecule generation, using grammatical evolution

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:29:11.572547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 45f5e9b4-6aea-412f-9781-7ea6f37df6f9 · outbound

This paper cites Graph convolutional policy network for goal-directed molecular graph generation.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization Graph convolutional policy network for goal-directed molecular graph generation

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:29:11.555221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3ebf7b5d-0ca2-4611-99a3-a929bb3607b9 · outbound

This paper cites Meta-world: A benchmark and evaluation for multi-task and meta reinforcement learning.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization Meta-world: A benchmark and evaluation for multi-task and meta reinforcement learning

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:29:11.539385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0959e6bb-b69f-4519-b139-d1afefd35b8d · outbound

This paper cites RRHF: Rank Responses to Align Language Models with Human Feedback without tears.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization RRHF: Rank Responses to Align Language Models with Human Feedback without tears

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-08T13:29:10.869139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 910f057e-941d-4419-be53-bfbc0764eb8d · outbound

This paper cites Covid-19 pathophysiology: A review.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization Covid-19 pathophysiology: A review

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:29:11.523296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3e9b7808-5ea1-409d-92de-313d0a645cb9 · outbound

This paper cites Universal approach to de novo drug design for target proteins using deep reinforcement learning.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization Universal approach to de novo drug design for target proteins using deep reinforcement learning

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:29:11.508183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation eef72f93-4f95-40c2-8916-4eb13c4799fc · outbound

This paper cites Optimization of molecules via deep reinforcement learning.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization Optimization of molecules via deep reinforcement learning

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:29:11.491284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b5fe6846-2656-4838-8bc3-70065bc8adff · outbound

This paper cites Fine-Tuning Language Models from Human Preferences.

DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization Fine-Tuning Language Models from Human Preferences

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-08T13:29:10.888735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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