activity
20242026
most citedPromptWizard: Task-Aware Prompt Optimization Framework

3 citations · 4 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CL2026

Learning When to Act or Refuse: Guarding Agentic Reasoning Models for Safe Multi-Step Tool Use

Aradhye Agarwal, Gurdit Siyan, Yash Pandya +3

Agentic language models operate in a fundamentally different safety regime than chat models: they must plan, call tools, and execute long-horizon actions where a single misstep, su…

cs.LG2025

Think Right: Learning to Mitigate Under-Over Thinking via Adaptive, Attentive Compression

Joykirat Singh, Justin Chih-Yao Chen, Archiki Prasad +3

Recent thinking models are capable of solving complex reasoning tasks by scaling test-time compute, but this scaling should be allocated in line with task difficulty. On one hand,…

cs.AI2025

Agentic Reasoning and Tool Integration for LLMs via Reinforcement Learning

Joykirat Singh, Raghav Magazine, Yash Pandya +1

Large language models (LLMs) have achieved remarkable progress in complex reasoning tasks, yet they remain fundamentally limited by their reliance on static internal knowledge and…

cs.LG2025

Self-Evolved Preference Optimization for Enhancing Mathematical Reasoning in Small Language Models

Joykirat Singh, Tanmoy Chakraborty, Akshay Nambi

Large language models (LLMs) have significantly improved their reasoning capabilities; however, they still struggle with complex multi-step mathematical problem-solving due to erro…

cs.CL2024★ 1 cited

Exposing the Achilles' Heel: Evaluating LLMs Ability to Handle Mistakes in Mathematical Reasoning

Joykirat Singh, Akshay Nambi, Vibhav Vineet

Large Language Models (LLMs) have been applied to Math Word Problems (MWPs) with transformative impacts, revolutionizing how these complex problems are approached and solved in var…

cs.CL2024★ 3 cited

PromptWizard: Task-Aware Prompt Optimization Framework

Eshaan Agarwal, Joykirat Singh, Vivek Dani +3

Large language models (LLMs) have transformed AI across diverse domains, with prompting being central to their success in guiding model outputs. However, manual prompt engineering…

cs.CL2024

EROS: Entity-Driven Controlled Policy Document Summarization

Joykirat Singh, Sehban Fazili, Rohan Jain +1

Privacy policy documents have a crucial role in educating individuals about the collection, usage, and protection of users' personal data by organizations. However, they are notori…