Swaroop Mishra

Google (United States) — United States

Computer Science · Physical Sciences

21h-index3.6kcitations102works4.12yr avg
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Research Topics

Topic Modeling(51), Natural Language Processing Techniques(41), Multimodal Machine Learning Applications(13), Explainable Artificial Intelligence (XAI)(13), Software Engineering Research(9)

Publications100 total

Prompted Policy Search: Reinforcement Learning through Linguistic and Numerical Reasoning in LLMs
arXiv (Cornell University)·2025Open Access
Towards Robust Mathematical Reasoning
arXiv (Cornell University)·2025Open Access
Teaching LLMs to Plan: Logical Chain-of-Thought Instruction Tuning for Symbolic Planning
arXiv (Cornell University)·2025Open Access
Towards Compute-Optimal Many-Shot In-Context Learning
arXiv (Cornell University)·2025Open Access
SAS-Prompt: Large Language Models as Numerical Optimizers for Robot Self-Improvement
2025· 1 cited
SAS-Prompt: Large Language Models as Numerical Optimizers for Robot Self-Improvement
arXiv (Cornell University)·2025Open Access
PlanGEN: A Multi-Agent Framework for Generating Planning and Reasoning Trajectories for Complex Problem Solving
arXiv (Cornell University)·2025Open Access
PlanGEN: A Multi-Agent Framework for Generating Planning and Reasoning Trajectories for Complex Problem Solving
2025· 4 citedOpen Access
Towards Robust Mathematical Reasoning
2025Open Access
Reverse Thinking Makes LLMs Stronger Reasoners
2025Open Access
Reverse Thinking Makes LLMs Stronger Reasoners
arXiv (Cornell University)·2024· 1 citedOpen Access
Polymath: A Challenging Multi-modal Mathematical Reasoning Benchmark
arXiv (Cornell University)·2024· 2 citedOpen Access
Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting
arXiv (Cornell University)·2024· 6 citedOpen Access
NATURAL PLAN: Benchmarking LLMs on Natural Language Planning
arXiv (Cornell University)·2024· 3 citedOpen Access
Cutting Through the Noise: Boosting LLM Performance on Math Word Problems
arXiv (Cornell University)·2024Open Access
Beyond ChatBots: ExploreLLM for Structured Thoughts and Personalized Model Responses
2024· 22 citedOpen Access
In-Context Principle Learning from Mistakes
arXiv (Cornell University)·2024· 2 citedOpen Access
Self-Discover: Large Language Models Self-Compose Reasoning Structures
arXiv (Cornell University)·2024· 9 citedOpen Access
InstructABSA: Instruction Learning for Aspect Based Sentiment Analysis
2024· 37 citedOpen Access
AutoMix: Automatically Mixing Language Models
2024
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Frequent Co-authors

Chitta Baral(26), Neeraj Varshney(10), Daniel Khashabi(7), Hannaneh Hajishirzi(7), Anjana Arunkumar(7), Mihir Parmar(7), Bhavdeep Sachdeva(6), Kuntal Kumar Pal(5), Ashwin Kalyan(5), Arindam Mitra(5), Laxmidhar Behera(5), Yeganeh Kordi(4), Peter Clark(4), Huaixiu Zheng(4), Denny Zhou(4), Meher Preetam Korukonda(4), Noah A. Smith(3), Yizhong Wang(3), Mirali Purohit(3), Pan Lu(3)