activity
20232026
most citedLLMSTEP: LLM proofstep suggestions in Lean

3 citations · 5 across the 5 of their papers we have counts for

collaborators

6 papers

cs.AI20261 cited

Long-Horizon AI Research for Grothendieck Constant: A Case Study in Human-AI Mathematical Collaboration

Alan Li, Rahul Saha, Anton Xue +4

AI agents are increasingly used in mathematics research, but it is often unclear how to use them effectively. Towards this, we present an extensive case study of how AI was used to…

cs.CC20261 cited

New Lower and Upper Bounds for the Grothendieck Constant

Rahul Saha, Alan Li, Anton Xue +4

We establish new bounds on the Grothendieck constant : \[ \frac{6π}{11} \le K_G \le \fracπ{2\log(1+\sqrt2)} - 10^{-4}. \] Methodologically, our lower bound approach differs fr…

cs.DS2026

The Grothendieck Constant is Less Than

Alan Li, Rahul Saha, Anton Xue +4

We prove that the Grothendieck constant . This improves on the work of Braverman, Makarychev, Makarychev, and Naor (2011), who proved…

cs.DC2024

Swarm UAVs Communication

Arindam Majee, Rahul Saha, Snehasish Roy +2

The advancement in cyber-physical systems has opened a new way in disaster management and rescue operations. The usage of UAVs is very promising in this context. UAVs, mainly quadc…

cs.AI20233 cited

LLMSTEP: LLM proofstep suggestions in Lean

Sean Welleck, Rahul Saha

We present LLMSTEP, a tool for integrating a language model into the Lean proof assistant. LLMSTEP is a Lean 4 tactic that sends a user's proof state to a server hosting a language…

cs.CL2023

A New Approach Towards Autoformalization

Nilay Patel, Rahul Saha, Jeffrey Flanigan

Verifying mathematical proofs is difficult, but can be automated with the assistance of a computer. Autoformalization is the task of automatically translating natural language math…