Generation constraint scaling can mitigate hallucination
- Georgios Kollias
- Payel Das
- et al.
- 2024
- ICML 2024
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39 results for Payel Das
Needle in the Haystack for Memory Based Large Language Models
- Payel Das
- Soham Dan
- et al.
- 2024
- ICML 2024
AlphaFold Distillation for Protein Design
- Igor Melnyk
- Aurelie Lozano
- et al.
- 2023
- NeurIPS 2023
Characterizing pre-trained and task-adapted molecular representations
- Celia Cintas
- Payel Das
- et al.
- 2023
- NeurIPS 2023
On Robustness-Accuracy Characterization of Large Language Models using Synthetic Datasets
- Ching-yun Ko
- Pin-Yu Chen
- et al.
- 2023
- ICML 2023
Consistent Training via Energy-Based GFlowNets for Modeling Discrete Joint Distributions
- Chanakya Ekbote
- Moksh Jain
- et al.
- 2022
- NeurIPS 2022
Reducing Down(stream)time: Pretraining Molecular GNNs using Heterogeneous AI Accelerators
- Jenna Bilbrey
- Kristina Herman
- et al.
- 2022
- NeurIPS 2022
Protein Representation Learning by Geometric Structure Pretraining
- Zuobai Zhang
- Minghao Xu
- et al.
- 2022
- ICML 2022
Benchmarking deep generative models for diverse antibody sequence design
- Igor Melnyk
- Payel Das
- et al.
- 2021
- NeurIPS 2021
Grapher: Multi-Stage Knowledge Graph Construction using Pretrained Language Models
- Igor Melnyk
- Pierre Dognin
- et al.
- 2021
- NeurIPS 2021