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20242026
most citedXModBench: Benchmarking Cross-Modal Capabilities and Consistency in Omni-Language Models

1 citations · 1 across the 10 of their papers we have counts for

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cs.AI2025

Where LLM Agents Fail and How They can Learn From Failures

Kunlun Zhu, Zijia Liu, Bingxuan Li +15

Large Language Model (LLM) agents, which integrate planning, memory, reflection, and tool-use modules, have shown promise in solving complex, multi-step tasks. Yet their sophistica…