Author

Divij Handa

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#artificial intelligence Sep 2025

BuildBench: Benchmarking LLM Agents on Compiling Real-World Open-Source Software

A more challenging and realistic benchmark, BUILD-BENCH, comprising OSS that is more diverse in quality, scale, and characteristics is proposed, and a strong baseline LLM-based agent, OSS-BUILD-AGENT, an effective system with enhanced build instruction retrieval module that achieves state-of-the-art performance on BUIL...

Ze-Hua Zhang, Ati Priya Bajaj, Divij Handa et al. · arXiv.org · 2 citations

#artificial intelligence Preprint Sep 2026

No-Box Vulnerability Analysis: Description-only Detection of Indirect Prompt Injection Vulnerabilities in MCP Servers

This work proposes a new paradigm of no-box vulnerability analysis in which neither access nor runtime interaction is available, and only functionality metadata is available, and introduces no-box vulnerability analysis as a new analysis paradigm and demonstrates its practical feasibility in realistic systems.

Ze-Hua Zhang, Jie Hu, Pratham Hegde et al. · 0 citations

#natural language process... Preprint Aug 2026

COGTRL: Training LLMs for Scientific Discovery Assistance using Cognitive Traces via Reinforcement Learning

COGTRL is proposed, a trajectory-level reinforcement learning framework that trains LLMs to emulate cognitively grounded reasoning by jointly optimizing cognitive traces and the scientific steps produced in an interleaved manner.

Shrinidhi Kumbhar, Santosh Mashetty, Divij Handa et al. · 1 citation