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Neeladri Bhuiya

2 accepted papers

2026

PLAGUE: Plug-and-play Framework for Lifelong Adaptive Generation of Multi-turn Exploits

ICLR 2026poster

Large Language Models (LLMs) are improving at an exceptional rate. With the advent of agentic workflows, multi-turn dialogue has become the de facto mode of interaction with LLMs for completing long and complex tasks. While LLM capabilities continue to improve, they remain increasingly susceptible t…

Cited by 0SourceScholar
2024

Seemingly Plausible Distractors in Multi-Hop Reasoning: Are Large Language Models Attentive Readers?

EMNLP 2024main

State-of-the-art Large Language Models (LLMs) are accredited with an increasing number of different capabilities, ranging from reading comprehension over advanced mathematical and reasoning skills to possessing scientific knowledge. In this paper we focus on multi-hop reasoning—the ability to identi…