Shubham Parashar

According to our database, Shubham Parashar authored at least 8 papers between 2023 and 2026.

Collaborative distances:

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

2026

Learnability-Informed Fine-Tuning of Diffusion Language Models.

Shubham Parashar, Atharv Chagi, Jacob Helwig, Lakshmi Jotsna, Sushil Vemuri, James Caverlee, Dileep Kalathil, Shuiwang Ji

CoRR, May, 2026

2025

Curriculum Reinforcement Learning from Easy to Hard Tasks Improves LLM Reasoning.

Shubham Parashar, Shurui Gui, Xiner Li, Hongyi Ling, Sushil Vemuri, Blake Olson, Eric Li, Yu Zhang, James Caverlee, Dileep Kalathil, Shuiwang Ji

CoRR, June, 2025

Complex LLM Planning via Automated Heuristics Discovery.

Hongyi Ling, Shubham Parashar, Sambhav Khurana, Blake Olson, Anwesha Basu, Gaurangi Sinha, Zhengzhong Tu, James Caverlee, Shuiwang Ji

CoRR, February, 2025

Inference-Time Computations for LLM Reasoning and Planning: A Benchmark and Insights.

Shubham Parashar, Blake Olson, Sambhav Khurana, Eric Li, Hongyi Ling, James Caverlee, Shuiwang Ji

CoRR, February, 2025

Few-Shot Recognition via Stage-Wise Retrieval-Augmented Finetuning.

Tian Liu, Huixin Zhang, Shubham Parashar, Shu Kong

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Few-Shot Recognition via Stage-Wise Augmented Finetuning.

Tian Liu, Huixin Zhang, Shubham Parashar, Shu Kong

CoRR, 2024

The Neglected Tails in Vision-Language Models.

Shubham Parashar, Zhiqiu Lin, Tian Liu, Xiangjue Dong, Yanan Li, Deva Ramanan, James Caverlee, Shu Kong

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Prompting Scientific Names for Zero-Shot Species Recognition.

Shubham Parashar, Zhiqiu Lin, Yanan Li, Shu Kong

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023