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Navonil Majumder

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#artificial intelligence Preprint Sep 2026

MemBodied: Recurrent Associative Memory for Vision-Language-Action Models

Findings support MemBodied as a practical alternative to expanding the policy context for history-dependent manipulation, a fixed-size episodic memory with two complementary components: an associative state that records interactions across policy calls and an episode anchor that preserves a compact representation of th...

Tej Deep Pala, N. Majumder, Bryce Goh et al. · 0 citations
#artificial intelligence Preprint Aug 2026

MNIST-PRO: MNIST is Back as a Partially Observable World for AI Agents

MnIST-PRO is addressed, a benchmark that isolates agentic perception by converting MNIST digit recognition into a sequential, glimpse-based search task with lookback constraints, and ten multimodal models are evaluated, showing that simply acquiring visual evidence is not enough and agents must also be able to build an...

Vernon Toh, N. Majumder, Zhengyuan Liu et al. · 0 citations
Jul 2026

IDEAgent: Agentic Quality-Diversity Search for Research Idea Generation

This work argues that research ideation should be treated as a conjunction of both objectives and framed as a Quality-Diversity (QD) search, and introduces IDEAgent, a multi-agent framework that manages the evolution of ideas through lineages.

Varun Gumma, Navonil Majumder, Soumitra Sinhahajari et al. · 0 citations
Preprint Aug 2026

ScrambleToolBench: Agents Search Exhaustively Even When Their Own Map Points to the Next Step

ScrambleToolBench is introduced, an interactive terminal benchmark designed to isolate behavioral reasoning by removing semantic cues and enforcing a continuous task curriculum, which requires agents to uncover hidden tool behaviors entirely through trial-and-error interaction.

Vernon Toh, Navonil Majumder, Zhengyuan Liu et al. · 1 citation

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