BindGPT: A Scalable Framework for 3D Molecular Design via Language Modeling and Reinforcement Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Zholus, Artem, Kuznetsov, Maksim, Schutski, Roman, Shayakhmetov, Rim, Polykovskiy, Daniil, Chandar, Sarath, Zhavoronkov, Alex |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
nach0-pc: Multi-task Language Model with Molecular Point Cloud Encoder
by: Kuznetsov, Maksim, et al.
Published: (2024)
by: Kuznetsov, Maksim, et al.
Published: (2024)
Reconstruction or Semantics? What Makes a Latent Space Useful for Robotic World Models
by: Nilaksh, et al.
Published: (2026)
by: Nilaksh, et al.
Published: (2026)
When Single Answer Is Not Enough: Rethinking Single-Step Retrosynthesis Benchmarks for LLMs
by: Zagribelnyy, Bogdan, et al.
Published: (2026)
by: Zagribelnyy, Bogdan, et al.
Published: (2026)
Mastering Memory Tasks with World Models
by: Samsami, Mohammad Reza, et al.
Published: (2024)
by: Samsami, Mohammad Reza, et al.
Published: (2024)
AlphaFold Kinase Optimizer: Enhancing Virtual Screening Performance Through Automated Refinement of AlphaFold ‐Based Kinase Structures
by: Sergei Evteev, et al.
Published: (2025)
by: Sergei Evteev, et al.
Published: (2025)
nach0: Multimodal Natural and Chemical Languages Foundation Model
by: Livne, Micha, et al.
Published: (2023)
by: Livne, Micha, et al.
Published: (2023)
MMAI Gym for Science: Training Liquid Foundation Models for Drug Discovery
by: Kuznetsov, Maksim, et al.
Published: (2026)
by: Kuznetsov, Maksim, et al.
Published: (2026)
Continuous Histogram Loss: Beyond Neural Similarity
by: Zholus, Artem, et al.
Published: (2020)
by: Zholus, Artem, et al.
Published: (2020)
Chemistry42: An AI-based platform for de novo molecular design
by: Ivanenkov, Yan A., et al.
Published: (2021)
by: Ivanenkov, Yan A., et al.
Published: (2021)
TAPNext++: What's Next for Tracking Any Point (TAP)?
by: Jung, Sebastian, et al.
Published: (2026)
by: Jung, Sebastian, et al.
Published: (2026)
Control Laws in Aging and Longevity
by: Zhavoronkov, Alex
Published: (2026)
by: Zhavoronkov, Alex
Published: (2026)
Faithfulness Measurable Masked Language Models
by: Madsen, Andreas, et al.
Published: (2023)
by: Madsen, Andreas, et al.
Published: (2023)
Are self-explanations from Large Language Models faithful?
by: Madsen, Andreas, et al.
Published: (2024)
by: Madsen, Andreas, et al.
Published: (2024)
The Right to Be Remembered: Preserving Maximally Truthful Digital Memory in the Age of AI
by: Zhavoronkov, Alex, et al.
Published: (2025)
by: Zhavoronkov, Alex, et al.
Published: (2025)
NovoMolGen: Rethinking Molecular Language Model Pretraining
by: Chitsaz, Kamran, et al.
Published: (2025)
by: Chitsaz, Kamran, et al.
Published: (2025)
TAPNext: Tracking Any Point (TAP) as Next Token Prediction
by: Zholus, Artem, et al.
Published: (2025)
by: Zholus, Artem, et al.
Published: (2025)
CADmium: Fine-Tuning Code Language Models for Text-Driven Sequential CAD Design
by: Govindarajan, Prashant, et al.
Published: (2025)
by: Govindarajan, Prashant, et al.
Published: (2025)
Engineering the Future of R&D: The Case for AI-Driven, Integrated Biotechnology Ecosystems
by: Zhavoronkov, Alex, et al.
Published: (2025)
by: Zhavoronkov, Alex, et al.
Published: (2025)
Squeezing More from the Stream : Learning Representation Online for Streaming Reinforcement Learning
by: Nilaksh, et al.
Published: (2026)
by: Nilaksh, et al.
Published: (2026)
Exploring Quantization for Efficient Pre-Training of Transformer Language Models
by: Chitsaz, Kamran, et al.
Published: (2024)
by: Chitsaz, Kamran, et al.
Published: (2024)
Context-Aware Assistant Selection for Improved Inference Acceleration with Large Language Models
by: Huang, Jerry, et al.
Published: (2024)
by: Huang, Jerry, et al.
Published: (2024)
Peakspan: Defining, Quantifying and Extending the Boundaries of Peak Productive Lifespan
by: Zhavoronkov, Alex, et al.
Published: (2025)
by: Zhavoronkov, Alex, et al.
Published: (2025)
Progress, Pitfalls, and Impact of AI‐Driven Clinical Trials
by: Dominika Wilczok, et al.
Published: (2024)
by: Dominika Wilczok, et al.
Published: (2024)
LLMs Can't Play Hangman: On the Necessity of a Private Working Memory for Language Agents
by: Baldelli, Davide, et al.
Published: (2026)
by: Baldelli, Davide, et al.
Published: (2026)
Effect of Document Packing on the Latent Multi-Hop Reasoning Capabilities of Large Language Models
by: Prato, Gabriele, et al.
Published: (2025)
by: Prato, Gabriele, et al.
Published: (2025)
Probabilistic Calibration Is a Trainable Capability in Language Models
by: Baldelli, Davide, et al.
Published: (2026)
by: Baldelli, Davide, et al.
Published: (2026)
Do Large Language Models Know How Much They Know?
by: Prato, Gabriele, et al.
Published: (2025)
by: Prato, Gabriele, et al.
Published: (2025)
EpiK-Eval: Evaluation for Language Models as Epistemic Models
by: Prato, Gabriele, et al.
Published: (2023)
by: Prato, Gabriele, et al.
Published: (2023)
Sub-goal Distillation: A Method to Improve Small Language Agents
by: Hashemzadeh, Maryam, et al.
Published: (2024)
by: Hashemzadeh, Maryam, et al.
Published: (2024)
CoPeP: Benchmarking Continual Pretraining for Protein Language Models
by: Patil, Darshan, et al.
Published: (2026)
by: Patil, Darshan, et al.
Published: (2026)
CrystalGym: A New Benchmark for Materials Discovery Using Reinforcement Learning
by: Govindarajan, Prashant, et al.
Published: (2025)
by: Govindarajan, Prashant, et al.
Published: (2025)
Steering Large Language Model Activations in Sparse Spaces
by: Bayat, Reza, et al.
Published: (2025)
by: Bayat, Reza, et al.
Published: (2025)
Neural Coherence : Find higher performance to out-of-distribution tasks from few samples
by: Guiroy, Simon, et al.
Published: (2025)
by: Guiroy, Simon, et al.
Published: (2025)
The Expressive Limits of Diagonal SSMs for State-Tracking
by: Shakerinava, Mehran, et al.
Published: (2026)
by: Shakerinava, Mehran, et al.
Published: (2026)
Intelligent Switching for Reset-Free RL
by: Patil, Darshan, et al.
Published: (2024)
by: Patil, Darshan, et al.
Published: (2024)
Interpretability Needs a New Paradigm
by: Madsen, Andreas, et al.
Published: (2024)
by: Madsen, Andreas, et al.
Published: (2024)
Towards Practical Tool Usage for Continually Learning LLMs
by: Huang, Jerry, et al.
Published: (2024)
by: Huang, Jerry, et al.
Published: (2024)
Why Don't Prompt-Based Fairness Metrics Correlate?
by: Zayed, Abdelrahman, et al.
Published: (2024)
by: Zayed, Abdelrahman, et al.
Published: (2024)
Should We Attend More or Less? Modulating Attention for Fairness
by: Zayed, Abdelrahman, et al.
Published: (2023)
by: Zayed, Abdelrahman, et al.
Published: (2023)
Lookbehind-SAM: k steps back, 1 step forward
by: Mordido, Gonçalo, et al.
Published: (2023)
by: Mordido, Gonçalo, et al.
Published: (2023)
Similar Items
-
nach0-pc: Multi-task Language Model with Molecular Point Cloud Encoder
by: Kuznetsov, Maksim, et al.
Published: (2024) -
Reconstruction or Semantics? What Makes a Latent Space Useful for Robotic World Models
by: Nilaksh, et al.
Published: (2026) -
When Single Answer Is Not Enough: Rethinking Single-Step Retrosynthesis Benchmarks for LLMs
by: Zagribelnyy, Bogdan, et al.
Published: (2026) -
Mastering Memory Tasks with World Models
by: Samsami, Mohammad Reza, et al.
Published: (2024) -
AlphaFold Kinase Optimizer: Enhancing Virtual Screening Performance Through Automated Refinement of AlphaFold ‐Based Kinase Structures
by: Sergei Evteev, et al.
Published: (2025)