Kumar Shridhar

Joined

September 2019

Names

Kumar Shridhar (Preferred)

Emails

****@gmail.com (Confirmed)

****@informatik.uni-kl.de (Confirmed)

****@neuralspace.ai (Confirmed)

****@inf.ethz.ch (Confirmed)

****@gmail.com (Confirmed)

Personal Links

Homepage

Google Scholar

ACL Anthology

Career & Education History

PhD student

computer science, Swiss Federal Institute of Technology (ethz.ch)

2021 – 2025

MS student

Computer Science, TU Kaiserslautern (uni-kl.de)

2016 – 2019

Advisors, Relations & Conflicts

PhD Advisor

Mrinmaya Sachan

2020 – 2025

Coauthor

Prof. Marcus Liwicki

2018 – 2019

Expertise

Natural language processing

2016 – 2025

Machine Learning

2016 – 2025

Publications

Teachers That Listen: Adaptive Student-Aware Distillation for Reasoning
Kushal Jain, Piyushi Goyal, Kumar Shridhar
- Submitted to ICLR 2026
- Readers: Everyone
BigCodeArena: Unveiling More Reliable Human Preferences in Code Generation via Execution
Terry Yue Zhuo, Xiaolong Jin, Hange Liu, Juyong Jiang, Tianyang Liu, Chen GONG, Bhupesh Bishnoi, Vaisakhi Mishra, Marek Suppa, Noah Ziems, Saiteja Utpala, Ming Xu, Guangyu Song, Kaixin Li, Yuhan Cao, Bo Liu, Zheng Liu, Sabina Abdurakhmanova, Wenhao Yu, Mengzhao Jia et al. (20 additional authors not shown)
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
SMART: Self-Learning Meta-strategy Agent for Reasoning Tasks
Rongxing Liu, Kumar Shridhar, Manish Prajapat, Patrick Xia, Mrinmaya Sachan
- Submitted to ICLR 2025
- Readers: Everyone
First-Step Advantage: Importance of Starting Right in Multi-Step Math Reasoning
Kushal Jain, Moritz Miller, Niket Tandon, Kumar Shridhar
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
SIKeD: Self-guided Iterative Knowledge Distillation for Mathematical Reasoning
Shivam Adarsh, Kumar Shridhar, Caglar Gulcehre, Nicholas Monath, Mrinmaya Sachan
- Submitted to ICLR 2025
- Readers: Everyone
Distilling LLMs’ Decomposition Abilities into Compact Language Models
Denis Tarasov, Kumar Shridhar
- AutoRL@ICML 2024
- Readers: Everyone
Distilling LLMs’ Decomposition Abilities into Compact Language Models
Denis Tarasov, Kumar Shridhar
- ICML 2024 Workshop AI4MATH Poster
- Readers: Everyone
The ART of LLM Refinement: Ask, Refine, Trust
Kumar Shridhar, Koustuv Sinha, Andrew Cohen, Tianlu Wang, Ping Yu, Ramakanth Pasunuru, Mrinmaya Sachan, Jason E Weston, Asli Celikyilmaz
- LLMAgents @ ICLR 2024 Poster
- Readers: Everyone
SCREWS: A Modular Framework for Reasoning with Revisions
Kumar Shridhar, Harsh Jhamtani, Hao Fang, Benjamin Van Durme, Jason Eisner, Patrick Xia
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb, Abubakar Abid, Adam Fisch, Adam R. Brown, Adam Santoro, Aditya Gupta, Adrià Garriga-Alonso, Agnieszka Kluska, Aitor Lewkowycz, Akshat Agarwal, Alethea Power, Alex Ray, Alex Warstadt, Alexander W. Kocurek, Ali Safaya, Ali Tazarv, Alice Xiang et al. (430 additional authors not shown)
- Accepted by TMLR
- Readers: Everyone

View all 11 publications

Co-Authors

View all 514 co-authors