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Shubham Parashar
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2020 – today
- 2025
[c3]Tian Liu, Huixin Zhang, Shubham Parashar, Shu Kong:
Few-Shot Recognition via Stage-Wise Retrieval-Augmented Finetuning. CVPR 2025: 15086-15097
[i6]Shubham Parashar, Blake Olson, Sambhav Khurana, Eric Li, Hongyi Ling, James Caverlee, Shuiwang Ji:
Inference-Time Computations for LLM Reasoning and Planning: A Benchmark and Insights. CoRR abs/2502.12521 (2025)
[i5]Hongyi Ling, Shubham Parashar, Sambhav Khurana, Blake Olson, Anwesha Basu, Gaurangi Sinha, Zhengzhong Tu, James Caverlee, Shuiwang Ji:
Complex LLM Planning via Automated Heuristics Discovery. CoRR abs/2502.19295 (2025)
[i4]Shubham Parashar, Shurui Gui, Xiner Li, Hongyi Ling, Sushil Vemuri, Blake Olson, Eric Li, Yu Zhang, James Caverlee, Dileep Kalathil, Shuiwang Ji:
Curriculum Reinforcement Learning from Easy to Hard Tasks Improves LLM Reasoning. CoRR abs/2506.06632 (2025)- 2024
[c2]Shubham Parashar, Zhiqiu Lin, Tian Liu, Xiangjue Dong, Yanan Li, Deva Ramanan, James Caverlee, Shu Kong:
The Neglected Tails in Vision-Language Models. CVPR 2024: 12988-12997
[i3]Shubham Parashar, Zhiqiu Lin, Tian Liu, Xiangjue Dong, Yanan Li, Deva Ramanan, James Caverlee, Shu Kong:
The Neglected Tails of Vision-Language Models. CoRR abs/2401.12425 (2024)
[i2]Tian Liu, Huixin Zhang, Shubham Parashar, Shu Kong:
Few-Shot Recognition via Stage-Wise Augmented Finetuning. CoRR abs/2406.11148 (2024)- 2023
[c1]Shubham Parashar, Zhiqiu Lin, Yanan Li, Shu Kong:
Prompting Scientific Names for Zero-Shot Species Recognition. EMNLP 2023: 9856-9861
[i1]Shubham Parashar, Zhiqiu Lin, Yanan Li, Shu Kong:
Prompting Scientific Names for Zero-Shot Species Recognition. CoRR abs/2310.09929 (2023)
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