most cited"Pull or Not to Pull?'': Investigating Moral Biases in Leading Large Language Models Across Ethical Dilemmas

2 citations · 2 across the 10 of their papers we have counts for

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cs.AI2026

Intent2Tx: Benchmarking LLMs for Translating Natural Language Intents into Ethereum Transactions

Zhuoran Pan, Yue Li, Zhi Guan +2

The emergence of Large Language Models (LLMs) offers a transformative interface for Web3, yet existing benchmarks fail to capture the complexity of translating high-level user inte…

cs.AI2025

Help or Hurdle? Rethinking Model Context Protocol-Augmented Large Language Models

Wei Song, Haonan Zhong, Ziqi Ding +2

The Model Context Protocol (MCP) enables large language models (LLMs) to access external resources on demand. While commonly assumed to enhance performance, how LLMs actually lever…