Pala Tej Deep

According to our database, Pala Tej Deep authored at least 8 papers between 2024 and 2025.

Collaborative distances:

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

2025

Training Vision-Language Process Reward Models for Test-Time Scaling in Multimodal Reasoning: Key Insights and Lessons Learned.

Brandon Ong, Pala Tej Deep, Vernon Toh, William-Chandra Tjhi, Soujanya Poria

CoRR, September, 2025

LLMs Can't Handle Peer Pressure: Crumbling under Multi-Agent Social Interactions.

Maojia Song, Pala Tej Deep, Weisheng Jin, Amir Zadeh, Chuan Li, Dorien Herremans, Soujanya Poria

CoRR, August, 2025

Lessons from Training Grounded LLMs with Verifiable Rewards.

Shang Hong Sim, Pala Tej Deep, Vernon Toh, Hai Leong Chieu, Amir Zadeh, Chuan Li, Navonil Majumder, Soujanya Poria

CoRR, June, 2025

Error Typing for Smarter Rewards: Improving Process Reward Models with Error-Aware Hierarchical Supervision.

Pala Tej Deep, Panshul Sharma, Amir Zadeh, Chuan Li, Soujanya Poria

CoRR, May, 2025

PromptDistill: Query-based Selective Token Retention in Intermediate Layers for Efficient Large Language Model Inference.

Weisheng Jin, Maojia Song, Pala Tej Deep, Yew Ken Chia, Amir Zadeh, Chuan Li, Soujanya Poria

CoRR, March, 2025

Emma-X: An Embodied Multimodal Action Model with Grounded Chain of Thought and Look-ahead Spatial Reasoning.

Qi Sun, Pengfei Hong, Pala Tej Deep, Vernon Toh, U-Xuan Tan, Deepanway Ghosal, Soujanya Poria

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Ferret: Faster and Effective Automated Red Teaming with Reward-Based Scoring Technique.

Pala Tej Deep, Vernon Toh Yan Han, Rishabh Bhardwaj, Soujanya Poria

CoRR, 2024

DELLA-Merging: Reducing Interference in Model Merging through Magnitude-Based Sampling.

Pala Tej Deep, Rishabh Bhardwaj, Soujanya Poria

CoRR, 2024