Author

Vernon Toh

Observed names: Han, Vernon Toh Yan, Toh, Vernon, Toh, Vernon Y. H.

Institutions: Agency for Science, Technology and Research, Nanyang Technological University

Observed institutions: Agency for Science, Technology and Research, Singapore University of Technology and Design, Nanyang Technological University

OpenAlex ID: A5114099831

PuzzleVQA: Diagnosing Multimodal Reasoning Challenges of Language Models with Abstract Visual Patterns

2024 · Yew Ken Chia, Vernon Toh, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL) · 10

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

Are Language Models Puzzle Prodigies? Algorithmic Puzzles Unveil Serious Challenges in Multimodal Reasoning

2024 · Ghosal, Deepanway, Han, Vernon Toh Yan, et al. · arXiv (Cornell University) · 3

The Jumping Reasoning Curve? Tracking the Evolution of Reasoning Performance in GPT-[n] and o-[n] Models on Multimodal Puzzles

2025 · Toh, Vernon Y. H., Chia, Yew Ken, et al. · arXiv (Cornell University) · 1

Ruby Teaming: Improving Quality Diversity Search with Memory for Automated Red Teaming

2024 · Han, Vernon Toh Yan, Bhardwaj, Rishabh, et al. · arXiv (Cornell University) · 1

MNIST-PRO: MNIST is Back as a Partially Observable World for AI Agents

2026 · Toh, Vernon, Majumder, Navonil, et al. · arXiv (Cornell University)

ScrambleToolBench: Agents Search Exhaustively Even When Their Own Map Points to the Next Step

2026 · Toh, Vernon, Majumder, Navonil, et al. · arXiv (Cornell University)

GRAIL: Gradient-Reweighted Advantages for Reinforcement Learning with Verifiable Rewards

2026 · Pala, Tej Deep, Toh, Vernon, et al. · arXiv (Cornell University)

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)

Lessons from Training Grounded LLMs with Verifiable Rewards

2025 · Sim, Shang Hong, Pala, Tej Deep, et al. · arXiv (Cornell University)

AlgoPuzzleVQA: Diagnosing Multimodal Reasoning Challenges of Language Models with Algorithmic Multimodal Puzzles

2025 · Deepanway Ghosal, Vernon Toh, et al. · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT)

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)

Not All Votes Count! Programs as Verifiers Improve Self-Consistency of Language Models for Math Reasoning

2024 · Toh, Vernon Y. H., Ghosal, Deepanway, et al. · arXiv (Cornell University)

Works count: 16

Citation count: 21

H-index: 3

I10-index: 1