Lingjun_C @DDDDDomain
RA @ NUS; PKU 2026 Joined September 2024-
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🚀 🚀Just launched MCPMark, a challenging MCP benchmark I participated in. Its filesystem section include ops on files, structure exploration, reasoning, and multi-skill tasks. Most models show clear room for improvement, while GPT series excel in precise text manipulation
🚀 🚀Just launched MCPMark, a challenging MCP benchmark I participated in. Its filesystem section include ops on files, structure exploration, reasoning, and multi-skill tasks. Most models show clear room for improvement, while GPT series excel in precise text manipulation
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Lingjun_C retweeted
Introducing MCPMark, a collaboration with @EvalSysOrg and @lobehub! We created a challenging benchmark to stress-test MCP use in comprehensive contexts. - 127 high-quality data samples created by experts. - GPT-5 takes the current lead and achieves a Pass@1 of 46.96% while the…
Lingjun_C retweeted
To me, diffusion LMs work because they remove unnecessary inductive biases. The left-to-right inductive bias is natural for human but is unlikely to be natural for AI. This gives more capacity to our models like Transformer having a bigger capacity than LSTM. Our experiment…
To me, diffusion LMs work because they remove unnecessary inductive biases. The left-to-right inductive bias is natural for human but is unlikely to be natural for AI. This gives more capacity to our models like Transformer having a bigger capacity than LSTM. Our experiment…
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