Patrick Pynadath

According to our database, Patrick Pynadath authored at least 7 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2026

Generative Frontiers: Why Evaluation Matters for Diffusion Language Models.

Patrick Pynadath, Jiaxin Shi, Ruqi Zhang

CoRR, April, 2026

Why Any-Order Autoregressive Models Need Two-Stream Attention: A Structural-Semantic Tradeoff.

Patrick Pynadath, Ruqi Zhang

CoRR, February, 2026

2025

CANDI: Hybrid Discrete-Continuous Diffusion Models.

Patrick Pynadath, Jiaxin Shi, Ruqi Zhang

CoRR, October, 2025

VERA: Variational Inference Framework for Jailbreaking Large Language Models.

Anamika Lochab, Lu Yan, Patrick Pynadath, Xiangyu Zhang, Ruqi Zhang

CoRR, June, 2025

Single-Step Consistent Diffusion Samplers.

Pascal Jutras-Dubé, Patrick Pynadath, Ruqi Zhang

CoRR, February, 2025

Controlled LLM Decoding via Discrete Auto-regressive Biasing.

Patrick Pynadath, Ruqi Zhang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Gradient-based Discrete Sampling with Automatic Cyclical Scheduling.

Patrick Pynadath, Riddhiman Bhattacharya, Arun Hariharan, Ruqi Zhang

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024