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Abhinav Kumar

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OverThink: Slowdown Attacks on Reasoning LLMs

This work evaluates Overthink on proprietary and open-source reasoning models across the FreshQA, SQuAD, and MuSR datasets, and shows that newer generations of RLMs, while showing a drastic increase in per-token cost, also exhibit up to a 2.3x increase in reasoning tokens, leaving them more vulnerable to Overthink atta...

Abhinav Kumar, Jaechul Roh, Ali Naseh et al. · 92 citations · ⚡9
#machine learning Preprint Sep 2026

DeFiFlowBench: Benchmarking and Improving Safe Executability in Natural-Language DeFi Workflow Synthesis

The proposed Koan-Safe, which combines a prompt-only intent parser, a replaceable generator, and structural repair with default safety parameters, is proposed, which supports explicit trade protections and execution-based evaluation, while distinguishing declared safety from a general guarantee.

Abhinav Kumar, Harshit Arora, Varun Singh et al. · 0 citations
Preprint Jul 2026

PiSAs: Benchmarking Contextual Integrity in Multi-User Agentic Systems

PiSAs (Privacy in Shared Agentic systems), a benchmark for assessing unintentional leaks with dual CI annotations, enables direct measurement of cross-user spillage across agentic system components and interfaces, such as outputs, inter-agent communication, and memory.

Shubham Gupta, N. Sepahvand, Abhinav Kumar et al. · 0 citations

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