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Tej Deep Pala
Observed names:
Deep, Pala Tej,
Pala, Tej,
Pala, Tej Deep
Institution:
Nanyang Technological University
Observed institutions:
Singapore University of Technology and Design,
Nanyang Technological University,
Norwegian Environment Agency
OpenAlex ID:
A5107672084
Emma-X: An Embodied Multimodal Action Model with Grounded Chain of Thought and Look-ahead Spatial Reasoning
2025
·
Qi Sun
, Pengfei Hong
, et al.
·
Proceedings of the conference - Association for Computational Linguistics. Meeting
·
6
PDF
Error Typing for Smarter Rewards: Improving Process Reward Models with Error-Aware Hierarchical Supervision
2025
·
Tej Deep Pala
, Panshul Sharma
, et al.
·
Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
·
1
PDF
Beyond Small Talk: Modeling Disclosure Trajectories in Human-AI Conversation
2026
·
Kwok, Keith
, Ning, Wanting
, et al.
·
arXiv (Cornell University)
PDF
RoboQuest: Generalist Physical Agents that Search, Inspect and Test
2026
·
Renhang, Liu
, Majumder, Navonil
, et al.
·
arXiv (Cornell University)
PDF
MemBodied: Recurrent Associative Memory for Vision-Language-Action Models
2026
·
Pala, Tej Deep
, Majumder, Navonil
, et al.
·
arXiv (Cornell University)
PDF
GRAIL: Gradient-Reweighted Advantages for Reinforcement Learning with Verifiable Rewards
2026
·
Pala, Tej Deep
, Toh, Vernon
, et al.
·
arXiv (Cornell University)
PDF
Training Vision-Language Process Reward Models for Test-Time Scaling in Multimodal Reasoning: Key Insights and Lessons Learned
2025
·
Ong, Brandon
, Pala, Tej Deep
, et al.
·
arXiv (Cornell University)
PDF
Lessons from Training Grounded LLMs with Verifiable Rewards
2025
·
Sim, Shang Hong
, Pala, Tej Deep
, et al.
·
arXiv (Cornell University)
PDF
PromptDistill: Query-based Selective Token Retention in Intermediate Layers for Efficient Large Language Model Inference
2025
·
Jin, Weisheng
, Song, Maojia
, et al.
·
arXiv (Cornell University)
PDF
Ferret: Faster and Effective Automated Red Teaming with Reward-Based Scoring Technique
2025
·
Tej Deep Pala
, Vernon Toh
, et al.
·
Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
PDF
DELLA-Merging: Reducing Interference in Model Merging through Magnitude-Based Sampling
2024
·
Deep, Pala Tej
, Bhardwaj, Rishabh
, et al.
·
arXiv (Cornell University)
PDF
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Works count:
13
Citation count:
7
H-index:
1
I10-index:
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