Prompting Scientific Names for Zero-Shot Species Recognition. - Shubham Parashar; Zhiqiu Lin; Yanan Li; Shu Kong (EMNLP, 2023)

The Neglected Tails in Vision-Language Models. - Shubham Parashar; Zhiqiu Lin; Tian Liu 006; Xiangjue Dong; Yanan Li; Deva Ramanan; James Caverlee; Shu Kong (CVPR, 2024)

Few-Shot Recognition via Stage-Wise Augmented Finetuning. - Tian Liu 006; Huixin Zhang; Shubham Parashar; Shu Kong (CoRR, 2024)

Few-Shot Recognition via Stage-Wise Retrieval-Augmented Finetuning. - Tian Liu 006; Huixin Zhang; Shubham Parashar; Shu Kong (CVPR, 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, 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, 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 044; James Caverlee; Dileep Kalathil; Shuiwang Ji (CoRR, 2025)