collaborators

13 papers

cs.AI2026

ProofWala: A Framework for Multilingual Proof Data Synthesis and Theorem-Proving

Amitayush Thakur, George Tsoukalas, Greg Durrett +1

Neural approaches to theorem proving require robust infrastructure for interfacing with interactive theorem provers (ITPs), extracting structured proof data, and executing proof se…

cs.CL2025

AstroVisBench: A Code Benchmark for Scientific Computing and Visualization in Astronomy

Sebastian Antony Joseph, Syed Murtaza Husain, Stella S. R. Offner +7

Large Language Models (LLMs) are being explored for applications in scientific research, including their capabilities to synthesize literature, answer research questions, generate…

cs.LG2025

CLEVER: A Curated Benchmark for Formally Verified Code Generation

Amitayush Thakur, Jasper Lee, George Tsoukalas +6

We introduce , a high-quality, curated benchmark of 161 problems for end-to-end verified code generation in Lean. Each problem consists of (1) the task of ge…

cs.SE2025

CRUST-Bench: A Comprehensive Benchmark for C-to-safe-Rust Transpilation

Anirudh Khatry, Robert Zhang, Jia Pan +4

C-to-Rust transpilation is essential for modernizing legacy C code while enhancing safety and interoperability with modern Rust ecosystems. However, no dataset currently exists for…

cs.LG2025

Pairwise or Pointwise? Evaluating Feedback Protocols for Bias in LLM-Based Evaluation

Tuhina Tripathi, Manya Wadhwa, Greg Durrett +1

Large Language Models (LLMs) are widely used as proxies for human labelers in both training (Reinforcement Learning from AI Feedback) and large-scale response evaluation (LLM-as-a-…

cs.CL2025

EvalAgent: Discovering Implicit Evaluation Criteria from the Web

Manya Wadhwa, Zayne Sprague, Chaitanya Malaviya +3

Evaluation of language model outputs on structured writing tasks is typically conducted with a number of desirable criteria presented to human evaluators or large language models (…