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Toolathlon-Verified · Website task ID 66 · Canonical task hk-top-conf View the task source at d57361c0

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Required Tools

MCP Servers
filesystem
terminal
playwright_with_chunk
fetch
Local Tools
claim_done
manage_context
history
python_execute
web_search
handle_overlong_tool_outputs

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Instruction

I’m a third-year undergraduate student majoring in Computer Science, and I plan to pursue a Ph.D. in Deep Learning in Hong Kong after graduation. My target universities are the University of Hong Kong (HKU), the Chinese University of Hong Kong (CUHK), and the Hong Kong University of Science and Technology (HKUST). However, I’m unsure which of these universities has the strongest research capabilities in the field of Deep Learning. I need your help to count the number of papers from these three universities where the first author’s affiliation is one of these institutions, specifically from the main conferences of ICML 2024, NeurIPS 2024, and ICLR 2025. For each university, please also provide a breakdown of poster, spotlight, and oral presentations. Finally, please provide the results in a markdown table (with columns: University, Poster, Spotlight, Oral, Total in order), sorted in descending order by the Total number of papers of each university. Please save this table as result.md(The document should only contain the corresponding table, and the table should not contain redundant or unnecessary rows or columns).

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Initial State

This task does not include a versioned local workspace or a public preprocessing fixture.

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Legacy Trajectories

These replays were produced on the original Toolathlon release. They are retained for historical inspection and are not Toolathlon-Verified results.