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An in-depth survey of large language model-based artificial intelligence agents

6 Pith papers cite this work. Polarity classification is still indexing.

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MemSyco-Bench: Benchmarking Sycophancy in Agent Memory

cs.IR · 2026-07-01 · unverdicted · novelty 7.0 · 2 refs

MemSyco-Bench is a benchmark covering five tasks to evaluate memory-induced sycophancy in LLM agents, testing rejection of invalid memory, scope respect, conflict resolution, update tracking, and valid personalization.

A dataset of early blockchain-registered AI agents on Ethereum

cs.DB · 2026-04-24 · unverdicted · novelty 6.0

A structured dataset of 10,000 early ERC-8004 AI agents on Ethereum is released, integrating on-chain events and off-chain metadata to enable research on decentralized agent identity and reputation.

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  • MemSyco-Bench: Benchmarking Sycophancy in Agent Memory cs.IR · 2026-07-01 · unverdicted · none · ref 27 · 2 links

    MemSyco-Bench is a benchmark covering five tasks to evaluate memory-induced sycophancy in LLM agents, testing rejection of invalid memory, scope respect, conflict resolution, update tracking, and valid personalization.