Publications

41 results for Payel Das

SEAL: Safety-enhanced Aligned LLM Fine-tuning via Bilevel Data Selection
- - Han Shen
  - Pin-Yu Chen
  - et al.
- 2025
- ICLR 2025
Large Language Models can Become Strong Self-Detoxifiers
- - Irene Ko
  - Pin-Yu Chen
  - et al.
- 2025
- ICLR 2025
Multi-Scale Representation Learning for Protein Fitness Prediction
- - Zuobai Zhang
  - Pascal Notin
  - et al.
- 2024
- NeurIPS 2024
Combining Domain and Alignment Vectors to Achieve Better Knowledge-Safety Trade-offs in LLMs
- - Megh Thakkar
  - Yash More
  - et al.
- 2024
- NeurIPS 2024
Improving Structural Plausibility in 3D Molecule Generation via Property-Conditioned Training with Distorted Molecules
- - Lucy Vost
  - Vijil Vijil
  - et al.
- 2024
- NeurIPS 2024
MemReasoner: A Memory-augmented LLM Architecture for Multi-hop Reasoning
- - Irene Ko
  - Sihui Dai
  - et al.
- 2024
- NeurIPS 2024
Learning to Optimize Molecules with a Chemical Language Model
- - Jerret Ross
  - Samuel Hoffman
  - et al.
- 2024
- NeurIPS 2024
On Robustness-Accuracy Characterization of Language Models using Synthetic Datasets
- - Ching-yun Ko
  - Pin-Yu Chen
  - et al.
- 2024
- COLM 2024
A Deep Dive into the Trade-Offs of Parameter-Efficient Preference Alignment Techniques
- - Megh Thakkar
  - Quentin Fournier
  - et al.
- 2024
- ACL 2024
NeuroPrune: A Neuro-inspired Topological Sparse Training Algorithm for Large Language Models
- - Amit Dhurandhar
  - Tejaswini Pedapati
  - et al.
- 2024
- ACL 2024