Sungroh Yoon, Jisoo Mok, Sangkwon Park, Ik-Hwan Kim, Salvador Dali
We lifted 6 functions out of this paper's own repositories and ran 5 of them in a sandbox. "Ran" means the function executed on a synthesized input and returned a value. It is not a reproduction of the paper's results.
| Repository | Role | Ran |
|---|---|---|
| 12kimih/HiCUPID | canonical | 5 of 6 |
| Function | Status | Where it lives |
|---|---|---|
| build_dialogue | Ran | 12kimih/HiCUPID/src/train_dpo.py code served (permissive licence) · get_code("294b85875c0758d0") |
| build_messages | Ran | 12kimih/HiCUPID/src/train_dpo.py code served (permissive licence) · get_code("a8cb09c73a473dbb") |
| build_messages | Ran | 12kimih/HiCUPID/src/train_sft.py code served (permissive licence) · get_code("5f8f8198f02dec22") |
| compute_metric | Ran | 12kimih/HiCUPID/src/bleu_rouge.py code served (permissive licence) · get_code("0bbec0695520ec07") |
| should_retry | Ran | 12kimih/HiCUPID/src/download_hf.py code served (permissive licence) · get_code("2055b1e599b445a9") |
| build_history | Not yet run | 12kimih/HiCUPID/src/train_dpo.py code served (permissive licence) · get_code("9e4e968bde8383ed") |
Some links come from the archived Papers with Code dataset (CC BY-SA 4.0): attribution and licence.
Personalized AI assistants, a hallmark of the human-like capabilities of Large Language Models (LLMs), are a challenging application that intertwines multiple problems in LLM research. Despite the growing interest in the development of personalized assistants, the lack of an open-source conversational dataset tailored for personalization remains a significant obstacle for researchers in the field. To address this research gap, we introduce HiCU-PID, a new benchmark to probe and unleash the potential of LLMs to deliver personalized responses. Alongside a conversational dataset, HiCUPID provides a Llama-3.2-based automated evaluation model whose assessment closely mirrors human preferences. We release our dataset, evaluation model, and code at https://github.com/12kimih/HiCUPID.
The same record, over MCP at https://syntology.ai/mcp:
get_harvested_code_for_paper("2506.01262")
get_code_for_paper("2506.01262")
have("2506.01262")
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